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Table of contents

  • 11.4.2 Benchmark Components
  • 11.4.3 Training vs. Inference
  • 11.4.4 Training Benchmarks
  • 11.4.5 Inference Benchmarks
  • 11.4.6 Benchmark Example
  • 11.4.7 Challenges and Limitations
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    • Understand the purpose and goals of benchmarking AI systems, including performance assessment, resource evaluation, validation, and more.

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    • Learn about the different types of benchmarks - micro, macro, and end-to-end - and their role in evaluating different aspects of an AI system.

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    • Become familiar with the key components of an AI benchmark, including datasets, tasks, metrics, baselines, reproducibility rules, and more.

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    • Understand the distinction between training and inference and how each phase warrants specialized ML systems benchmarking.

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    • Learn about system benchmarking concepts like throughput, latency, power, and computational efficiency.

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    • Appreciate the evolution of model benchmarking from accuracy to more holistic metrics like fairness, robustness, and real-world applicability.

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    • Recognize the growing role of data benchmarking in evaluating issues like bias, noise, balance, and diversity.

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    • Understand the limitations of evaluating models, data, and systems in isolation and the emerging need for integrated benchmarking.

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    • Understand the purpose and goals of benchmarking AI systems across model, data, and system dimensions.

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    • Learn about key model benchmarks, metrics, and trends, including accuracy, fairness, complexity, and efficiency.

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    • Discover the importance of data-centric AI and data benchmarking to assess dataset quality, diversity, and efficiency.

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    • Explore system benchmarking at different levels of granularity, from micro to end-to-end benchmarks, and key metrics for training and inference.

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    • Recognize the value of an integrated approach that benchmarks the interplay between models, data, and systems.

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    • Understand the challenges and emerging trends in AI benchmarking, including benchmarks for new technologies.

    11.1 Introduction

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    Benchmarking provides the essential measurements needed to drive machine learning progress and truly understand system performance. As the physicist Lord Kelvin famously said, “To measure is to know.” Benchmarks allow us to quantitatively know the capabilities of different models, software, and hardware. They allow ML developers to measure the inference time, memory usage, power consumption, and other metrics that characterize a system. Moreover, benchmarks create standardized processes for measurement, enabling fair comparisons across different solutions.

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    Benchmarking provides the necessary measurements to drive machine learning progress and truly understand system performance. As the physicist Lord Kelvin famously said, “To measure is to know.” Benchmarks allow us to quantitatively know the capabilities of different models, software, and hardware. They allow ML developers to measure the inference time, memory usage, power consumption, and other metrics that characterize a system. Moreover, benchmarks create standardized processes for measurement, enabling fair comparisons across different solutions.

    When benchmarks are maintained over time, they become instrumental in capturing progress across generations of algorithms, datasets, and hardware. The models and techniques that set new records on ML benchmarks from one year to the next demonstrate tangible improvements in what’s possible for on-device machine learning. By using benchmarks to measure, ML practitioners can know the real-world capabilities of their systems and have confidence that each step reflects genuine progress towards the state-of-the-art.

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    Figure 11.1 shows the progress of the MLPerf Training Benchmark over time. The chart demonstrates the relative performance improvement on each task over each iteration of the benchmark. The results show a steady improvement in performance across all tasks over time, even beating out the rate of hardware progress predicted by Moore’s Law.

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    +Figure 11.1: MLPerf Training Benchmark results over time. The chart shows the relative performance improvement on each task over each interation of the benchmark. The results show a steady improvement in performance across all tasks over time, beating out the imporvements predicted by moore’s law. Credit: MLPerf-Training. +
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    Benchmarking has several important goals and objectives that guide its implementation for machine learning systems.

    • Performance assessment. This involves evaluating key metrics like a given model’s speed, accuracy, and efficiency. For instance, in a TinyML context, it is crucial to benchmark how quickly a voice assistant can recognize commands, as this evaluates real-time performance.

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      11.4.1 Granularity

      Machine learning system benchmarking provides a structured and systematic approach to assessing a system’s performance across various dimensions. Given the complexity of ML systems, we can dissect their performance through different levels of granularity and obtain a comprehensive view of the system’s efficiency, identify potential bottlenecks, and pinpoint areas for improvement. To this end, various types of benchmarks have evolved over the years and continue to persist.

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      Figure 11.1 illustrates the different layers of granularity of an ML system. At the application level, end-to-end benchmarks assess the overall system performance, considering factors like data preprocessing, model training, and inference. While at the model layer, benchmarks focus on assessing the efficiency and accuracy of specific models. This includes evaluating how well models generalize to new data and their computational efficiency during training and inference. Furthermore, benchmarking can extend to hardware and software infrastructure, examining the performance of individual components like GPUs or TPUs.

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      Figure 11.2 illustrates the different layers of granularity of an ML system. At the application level, end-to-end benchmarks assess the overall system performance, considering factors like data preprocessing, model training, and inference. While at the model layer, benchmarks focus on assessing the efficiency and accuracy of specific models. This includes evaluating how well models generalize to new data and their computational efficiency during training and inference. Furthermore, benchmarking can extend to hardware and software infrastructure, examining the performance of individual components like GPUs or TPUs.

      -Figure 11.1: ML system granularity. +Figure 11.2: ML system granularity.
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      Macro Benchmarks

      Macro benchmarks provide a holistic view, assessing the end-to-end performance of entire machine learning models or comprehensive AI systems. Rather than focusing on individual operations, macro-benchmarks evaluate the collective efficacy of models under real-world scenarios or tasks. For example, a macro-benchmark might assess the complete performance of a deep learning model undertaking image classification on a dataset like ImageNet. This includes gauging accuracy, computational speed, and resource consumption. Similarly, one might measure the cumulative time and resources needed to train a natural language processing model on extensive text corpora or evaluate the performance of an entire recommendation system, from data ingestion to final user-specific outputs.

      Examples: These benchmarks evaluate the AI model:

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      • MLPerf Inference(Reddi et al. (2020)): An industry-standard set of benchmarks for measuring the performance of machine learning software and hardware. MLPerf has a suite of dedicated benchmarks for specific scales, such as MLPerf Mobile for mobile class devices and MLPerf Tiny, which focuses on microcontrollers and other resource-constrained devices.

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      • MLPerf Inference (Reddi et al. 2020): An industry-standard set of benchmarks for measuring the performance of machine learning software and hardware. MLPerf has a suite of dedicated benchmarks for specific scales, such as MLPerf Mobile for mobile class devices and MLPerf Tiny, which focuses on microcontrollers and other resource-constrained devices.

      • EEMBC’s MLMark: A benchmarking suite for evaluating the performance and power efficiency of embedded devices running machine learning workloads. This benchmark provides insights into how different hardware platforms handle tasks like image recognition or audio processing.

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      • AI-Benchmark(Ignatov et al. (2019)): A benchmarking tool designed for Android devices, it evaluates the performance of AI tasks on mobile devices, encompassing various real-world scenarios like image recognition, face parsing, and optical character recognition.

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      • AI-Benchmark (Ignatov et al. 2019): A benchmarking tool designed for Android devices, it evaluates the performance of AI tasks on mobile devices, encompassing various real-world scenarios like image recognition, face parsing, and optical character recognition.

      Reddi, Vijay Janapa, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, et al. 2020. “MLPerf Inference Benchmark.” In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 446–59. IEEE; IEEE. https://doi.org/10.1109/isca45697.2020.00045. @@ -905,59 +908,38 @@

      Understanding

      Finally, organizations can make informed decisions on where to allocate resources by discerning performance bottlenecks or inefficiencies. For instance, if micro-benchmarks reveal inefficiencies in specific tensor operations, investments can be directed toward specialized hardware accelerators. Conversely, if end-to-end benchmarks indicate data retrieval issues, investments might be channeled toward better storage solutions.

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    11.4.2 Benchmark Components

    At its core, an AI benchmark is more than just a test or a score; it’s a comprehensive evaluation framework. To understand this in-depth, let’s break down the typical components that go into an AI benchmark.

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    Standardized Datasets

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    Datasets serve as the foundation for most AI benchmarks. They provide a consistent data set on which models are trained and evaluated, ensuring a level playing field for comparisons.

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    Example: ImageNet, a large-scale dataset containing millions of labeled images spanning thousands of categories, is a popular benchmarking standard for image classification tasks.

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    Pre-defined Tasks

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    A benchmark should have a clear objective or task that models aim to achieve. This task defines the problem the AI system is trying to solve.

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    Example: Tasks for natural language processing benchmarks might include sentiment analysis, named entity recognition, or machine translation.

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    Task & Datasets

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    Datasets serve as the foundation for most AI benchmarks and specify the task that the model aims to achieve. They provide a consistent data set on which models are trained and evaluated, ensuring a level playing field for comparisons. When selecting the tasks in a benchmark, you must account for the task diversity. For example, the selected tasks should span various data types, levels of complexity, and scale in order to appropriately represent the wide range of possible applications. Additionally, one must consider the availability of a suitable dataset and the relevance of the task to meaningful real-world applications. ImageNet is an example of a large-scale dataset containing millions of labeled images spanning thousands of categories, is a popular benchmarking standard for image classification tasks (Deng et al. 2009).

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    +Deng, Jia, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. “Imagenet: A Large-Scale Hierarchical Image Database.” In 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–55. Ieee. +

    Evaluation Metrics

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    Once a task is defined, benchmarks require metrics to quantify performance. These metrics offer objective measures to compare different models or systems.

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    In classification tasks, metrics like accuracy, precision, recall, and F1 score are commonly used. Mean squared or absolute errors might be employed for regression tasks.

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    Once a task is defined, benchmarks require metrics to quantify performance. These metrics offer objective measures to compare different models or systems. In classification tasks, metrics like accuracy, precision, recall, and F1 score are commonly used. Mean squared or absolute errors might be employed for regression tasks.

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    Baseline Models

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    Benchmarks often include baseline models or reference implementations. These serve as starting points or minimum performance standards against which new models or techniques can be compared.

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    Example: In many benchmark suites, simple models like linear regression or basic neural networks serve as baselines to provide context for more complex model evaluations.

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    Baselines

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    Benchmarks often include baseline models or reference implementations. These serve as starting points or minimum performance standards against which new models or techniques can be compared. In many benchmark suites, simple models like linear regression or basic neural networks serve as baselines to provide context for more complex model evaluations.

    Hardware and Software Specifications

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    Given the variability introduced by different hardware and software configurations, benchmarks often specify or document the hardware and software environments in which tests are conducted.

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    Example: An AI benchmark might note that evaluations were conducted on an NVIDIA Tesla V100 GPU using TensorFlow v2.4.

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    Environmental Conditions

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    As external factors can influence benchmark results, it’s essential to either control or document conditions like temperature, power source, or system background processes.

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    Example: Mobile AI benchmarks might specify that tests were conducted at room temperature with devices plugged into a power source to eliminate battery-level variances.

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    Reproducibility Rules

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    To ensure benchmarks are credible and can be replicated by others in the community, they often include detailed protocols covering everything from random seeds used to exact hyperparameters.

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    Example: A benchmark for a reinforcement learning task might detail the exact training episodes, exploration-exploitation ratios, and reward structures used.

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    Result Interpretation Guidelines

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    Beyond raw scores or metrics, benchmarks often provide guidelines or context to interpret results, helping practitioners understand the broader implications.

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    Example: A benchmark might highlight that while Model A scored higher than Model B in accuracy, it offers better real-time performance, making it more suitable for time-sensitive applications.

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    Given the variability introduced by different hardware and software configurations, benchmarks often specify or document the hardware and software environments in which tests are conducted. An AI benchmark might note that evaluations were conducted on an NVIDIA Tesla V100 GPU using TensorFlow v2.4.

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    These components form the basis of a benchmark, but successful benchmarks go beyond the core components. To have interpretable and reproducible results, you often need to control for environmental conditions (e.g., temperature) and specify how the results should be interpreted and compared (e.g., latency per joule). These specifications are commonly referred to as “run rules.” For example, in mobile AI benchmarks, the run rules might specify that the tests should be conducted at room temperature with devices plugged into a power source to eliminate battery-level variances.

    11.4.3 Training vs. Inference

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    The development life cycle of a machine learning model involves two critical phases - training and inference. Training is the process of learning patterns from data to create the model. Inference refers to the model making predictions on new unlabeled data. Both phases play indispensable yet distinct roles. Consequently, each phase warrants rigorous benchmarking to evaluate performance metrics like speed, accuracy, and computational efficiency.

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    Benchmarking the training phase provides insights into how different model architectures, hyperparameter values, and optimization algorithms impact the time and resources needed to train the model. For instance, benchmarking shows how neural network depth affects training time on a given dataset. Benchmarking also reveals how hardware accelerators like GPUs and TPUs can speed up training.

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    The development life cycle of a machine learning model involves two critical phases - training and inference. Training is the process of learning patterns from data to create the model. Inference refers to the model making predictions on new unlabeled data. These distinct phases often have different hardware requirements, and therefore, ML systems designed for training and inference can vary substantially.

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    Benchmarking the training phase typically measures the time and resources needed to train the model, and can demonstrate the degree to which hardware accelerators like GPUs and TPUs speed up training.

    On the other hand, benchmarking inference evaluates model performance in real-world conditions after deployment. Key metrics include latency, throughput, memory footprint, and power consumption. Inference benchmarking determines if a model meets the requirements of its target application regarding response time and device constraints, which is typically the focus of TinyML. However, we will discuss these broadly to ensure a general understanding.

    11.4.4 Training Benchmarks

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    Training represents the phase where the system processes and ingests raw data to adjust and refine its parameters. Therefore, it is an algorithmic activity and involves system-level considerations, including data pipelines, storage, computing resources, and orchestration mechanisms. The goal is to ensure that the ML system can efficiently learn from data, optimizing both the model’s performance and the system’s resource utilization.

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    Training represents the phase where the system processes and ingests raw data to adjust and refine its parameters. Therefore, it is an algorithmic activity and involves system-level considerations, including data pipelines, storage, computing resources, and orchestration mechanisms. The goal is to ensure that the ML system can efficiently learn from data, optimizing both the model’s performance and the system’s resource utilization.

    Purpose

    From an ML systems perspective, training benchmarks evaluate how well the system scales with increasing data volumes and computational demands. It’s about understanding the interplay between hardware, software, and the data pipeline in the training process.

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    Purpose

    Metrics

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    When viewed from a systems perspective, training metrics offer insights that transcend conventional algorithmic performance indicators. These metrics measure the model’s learning efficacy and gauge the efficiency, scalability, and robustness of the entire ML system during the training phase. Let’s delve deeper into these metrics and their significance.

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    When viewed from a systems perspective, training metrics offer insights that transcend conventional algorithmic performance indicators. These metrics measure the model’s learning efficacy and gauge the efficiency, scalability, and robustness of the entire ML system during the training phase. Let’s dig into these metrics and their significance.

    The following metrics are often considered important:

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    1. Training Time: The time it takes to train a model from scratch until it reaches a satisfactory performance level. It directly measures the computational resources required to train a model. For example, Google’s BERT(Devlin et al. (2019)) is a natural language processing model that requires several days to train on a massive corpus of text data using multiple GPUs. The long training time is a significant resource consumption and cost challenge.

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    2. Training Time: The time it takes to train a model from scratch until it reaches a satisfactory performance level. It directly measures the computational resources required to train a model. For example, Google’s BERT(Devlin et al. (2019)) is a natural language processing model that requires several days to train on a massive corpus of text data using multiple GPUs. The long training time is a significant resource consumption and cost challenge. In some cases, benchmarks can instead measure the training throughput (training samples per unit of time). Throughput can be calculated much faster and easier than training time but may obscure the metrics we really care about (e.g. time to train).

    3. Scalability: How well the training process can handle increases in data size or model complexity. Scalability can be assessed by measuring training time, memory usage, and other resource consumption as data size or model complexity increases. OpenAI’s GPT-3(Brown et al. (2020)) model has 175 billion parameters, making it one of the largest language models in existence. Training GPT-3 required extensive engineering efforts to scale the training process to handle the massive model size. This involved using specialized hardware, distributed training, and other techniques to ensure the model could be trained efficiently.

    4. Resource Utilization: The extent to which the training process utilizes available computational resources such as CPU, GPU, memory, and disk I/O. High resource utilization can indicate an efficient training process, while low utilization can suggest bottlenecks or inefficiencies. For instance, training a convolutional neural network (CNN) for image classification requires significant GPU resources. Utilizing multi-GPU setups and optimizing the training code for GPU acceleration can greatly improve resource utilization and training efficiency.

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    5. Memory Consumption: The amount of memory the training process uses. Memory consumption can be a limiting factor for training large models or datasets. For example, Google researchers faced significant memory consumption challenges when training BERT. The model has hundreds of millions of parameters, requiring large amounts of memory. The researchers had to develop techniques to reduce memory consumption, such as gradient checkpointing and model parallelism.

    6. Energy Consumption: The energy consumed during training. As machine learning models become more complex, energy consumption has become an important consideration. Training large machine learning models can consume significant energy, leading to a large carbon footprint. For instance, the training of OpenAI’s GPT-3 was estimated to have a carbon footprint equivalent to traveling by car for 700,000 kilometers.

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    7. Throughput: The number of training samples processed per unit time. Higher throughput generally indicates a more efficient training process. The throughput is an important metric to consider when training a recommendation system for an e-commerce platform. A high throughput ensures that the model can process large volumes of user interaction data promptly, which is crucial for maintaining the relevance and accuracy of the recommendations. But it’s also important to understand how to balance throughput with latency bounds. Therefore, a latency-bounded throughput constraint is often imposed on service-level agreements for data center application deployments.

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    8. Cost: The cost of training a model can include both computational and human resources. Cost is important when considering the practicality and feasibility of training large or complex models. Training large language models like GPT-3 is estimated to cost millions of dollars. This cost includes computational, electricity and human resources required for model development and training.

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    9. Cost: The cost of training a model can include both computational and human resources. Cost is important when considering the practicality and feasibility of training large or complex models. Training large language models like GPT-3 is estimated to cost millions of dollars. This cost includes computational, electricity, and human resources required for model development and training.

    10. Fault Tolerance and Robustness: The ability of the training process to handle failures or errors without crashing or producing incorrect results. This is important for ensuring the reliability of the training process. Network failures or hardware malfunctions can occur in a real-world scenario where a machine-learning model is being trained on a distributed system. In recent years, it has become abundantly clear that faults arising from silent data corruption have emerged as a major issue. A fault-tolerant and robust training process can recover from such failures without compromising the model’s integrity.

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    11. Ease of Use and Flexibility: The ease with which the training process can be set up and used and its flexibility in handling different types of data and models. In companies like Google, efficiency can sometimes be measured by the number of Software Engineer (SWE) years saved since that translates directly to impact. Ease of use and flexibility can reduce the time and effort required to train a model. TensorFlow and PyTorch are popular machine-learning frameworks that provide user-friendly interfaces and flexible APIs for building and training machine-learning models. These frameworks support many model architectures and are equipped with tools that simplify the training process.

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    12. Reproducibility: The ability to reproduce the training process results. Reproducibility is important for verifying a model’s correctness and validity. However, variations due to stochastic network characteristics often make it hard to reproduce the precise behavior of applications being trained, which can present a challenge for benchmarking.

    Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” In Proceedings of the 2019 Conference of the North, 4171–86. Minneapolis, Minnesota: Association for Computational Linguistics. https://doi.org/10.18653/v1/n19-1423.

    By benchmarking for these types of metrics, we can obtain a comprehensive view of the training process’s performance and efficiency from a systems perspective. This can help identify areas for improvement and ensure that resources are used effectively.

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    Tasks

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    Selecting a handful of representative tasks for benchmarking machine learning systems is challenging because machine learning is applied to various domains with unique characteristics and requirements. Here are some of the challenges faced in selecting representative tasks:

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    1. Diversity of Applications: Machine learning is used in numerous fields such as healthcare, finance, natural language processing, computer vision, and many more. Each field has specific tasks that may not be representative of other fields. For example, image classification tasks in computer vision may not be relevant to financial fraud detection.
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    2. Variability in Data Types and Quality: Different tasks require different data types, such as text, images, videos, or numerical data. Data quality and availability can vary greatly between tasks, making it difficult to select tasks that are representative of the general challenges faced in machine learning.
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    3. Task Complexity and Difficulty: The complexity of tasks varies greatly. Some are relatively straightforward, while others are highly complex and require sophisticated models and techniques. Selecting representative tasks that cover the complexities encountered in machine learning is challenging.
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    4. Ethical and Privacy Concerns: Some tasks may involve sensitive or private data, such as medical records or personal information. These tasks may have ethical and privacy concerns that need to be addressed, making them less suitable as representative tasks for benchmarking.
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    5. Scalability and Resource Requirements: Different tasks may have different scalability and resource requirements. Some tasks may require extensive computational resources, while others can be performed with minimal resources. Selecting tasks that represent the general resource requirements in machine learning is difficult.
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    6. Evaluation Metrics: The metrics used to evaluate the performance of machine learning models vary between tasks. Some tasks may have well-established evaluation metrics, while others lack clear or standardized metrics. This can make it challenging to compare performance across different tasks.
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    7. Generalizability of Results: The results obtained from benchmarking on a specific task may not be generalizable to other tasks. This means that a machine learning system’s performance on a selected task may not be indicative of its performance on other tasks.
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    It is important to carefully consider these factors when designing benchmarks to ensure they are meaningful and relevant to the diverse range of tasks encountered in machine learning.

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    Benchmarks

    Here are some original works that laid the fundamental groundwork for developing systematic benchmarks for training machine learning systems.

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    MLPerf Training Benchmark

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    MLPerf is a suite of benchmarks designed to measure the performance of machine learning hardware, software, and services. The MLPerf Training benchmark (Mattson et al. 2020a) focuses on the time it takes to train models to a target quality metric. It includes diverse workloads, such as image classification, object detection, translation, and reinforcement learning.

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    Metrics:

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    • Training time to target quality
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    • Throughput (examples per second)
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    • Resource utilization (CPU, GPU, memory, disk I/O)
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    DAWNBench

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    DAWNBench (Coleman et al. 2019) is a benchmark suite focusing on end-to-end deep learning training time and inference performance. It includes common tasks such as image classification and question answering.

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    DAWNBench: DAWNBench (Coleman et al. 2019) was the first benchmark suite focusing on end-to-end deep learning training time, and subsequently inference performance. It include common tasks such as image classification and question answering. It’s metrics include:

    Coleman, Cody, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Chris Ré, and Matei Zaharia. 2019. “Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.” ACM SIGOPS Operating Systems Review 53 (1): 14–25. https://doi.org/10.1145/3352020.3352024. -

    Metrics:

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      • Time to train to target accuracy
      • Inference latency
      • Cost (in terms of cloud computing and storage resources)
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      Fathom

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      Fathom (Adolf et al. 2016) is a benchmark from Harvard University that evaluates the performance of deep learning models using a diverse set of workloads. These include common tasks such as image classification, speech recognition, and language modeling.

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      Fathom: Fathom (Adolf et al. 2016) was one of the first benchmarks (from Harvard University) to evaluate the performance of deep learning models using a diverse set of workloads. These include common tasks such as image classification, speech recognition, and language modeling. It’s metrics include:

      Adolf, Robert, Saketh Rama, Brandon Reagen, Gu-yeon Wei, and David Brooks. 2016. “Fathom: Reference Workloads for Modern Deep Learning Methods.” In 2016 IEEE International Symposium on Workload Characterization (IISWC), 1–10. IEEE; IEEE. https://doi.org/10.1109/iiswc.2016.7581275. -

      Metrics:

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        • Operations per second (to measure computational efficiency)
        • Time to completion for each workload
        • Memory bandwidth
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        Example Use Case

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        MLPerf Training Benchmark: MLPerf is a suite of benchmarks that grew out of DAWNBench and Fathom and other collective works such as DeepBench that was designed to measure the performance of machine learning hardware, software, and services. The MLPerf Training benchmark (Mattson et al. 2020a) focuses on the time it takes to train models to a target quality metric. It includes diverse workloads, such as image classification, object detection, translation, and reinforcement learning. It’s metrics include:

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        +———, et al. 2020a. “MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance.” IEEE Micro 40 (2): 8–16. https://doi.org/10.1109/mm.2020.2974843. +
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        • Training time to target quality
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        • Throughput (examples per second)
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        • Resource utilization (CPU, GPU, memory, disk I/O)
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        Example Use Case

        Consider a scenario where we want to benchmark the training of an image classification model on a specific hardware platform.

        1. Task: The task is to train a convolutional neural network (CNN) for image classification on the CIFAR-10 dataset.
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          Benchmarks

          By measuring these metrics, we can assess the performance and efficiency of the training process on the selected hardware platform. This information can then be used to identify potential bottlenecks or areas for improvement.

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    11.4.5 Inference Benchmarks

    Inference in machine learning refers to using a trained model to make predictions on new, unseen data. It is the phase where the model applies its learned knowledge to solve the problem it was designed for, such as classifying images, recognizing speech, or translating text.

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    Purpose

    Metrics

    1. Accuracy: Accuracy is one of the most vital metrics when benchmarking machine learning models. It quantifies the proportion of correct predictions made by the model compared to the true values or labels. For example, if a spam detection model can correctly classify 95 out of 100 email messages as spam or not, its accuracy would be calculated as 95%.

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    2. Latency: Latency is a performance metric that calculates the time lag or delay between the input receipt and the production of the corresponding output by the machine learning system. An example that clearly depicts latency is a real-time translation application; if a half-second delay exists from the moment a user inputs a sentence to the time the app displays the translated text, then the system’s latency is 0.5 seconds.

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    3. Latency-Bounded Throughput: Latency-bounded throughput is a valuable metric that combines the aspects of latency and throughput, measuring the maximum throughput of a system while still meeting a specified latency constraint. For example, in a video streaming application that utilizes a machine learning model to generate and display subtitles automatically, latency-bounded throughput would measure how many video frames the system can process per second (throughput) while ensuring that the subtitles are displayed with no more than a 1-second delay (latency). This metric is particularly important in real-time applications where meeting latency requirements is crucial to the user experience.

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    4. Throughput: Throughput assesses the system’s capacity by measuring the number of inferences or predictions a machine learning model can handle within a specific unit of time. Consider a speech recognition system that employs a Recurrent Neural Network (RNN) as its underlying model; if this system can process and understand 50 different audio clips in a minute, then its throughput rate stands at 50 clips per minute.

      5. -

    5. Inference Time: Inference time is a crucial metric that measures the duration a machine learning system, such as a Convolutional Neural Network (CNN) used in image recognition tasks, takes to process an input and generate a prediction or output. For instance, if a CNN takes approximately 2 milliseconds to identify and label a cat within a given photo accurately, then its inference time is said to be 2 milliseconds.

      6. +

    6. Latency or Throughput: The appropriate performance metric depends on the task. Latency is a performance metric that calculates the time lag or delay between the input receipt and the production of the corresponding output by the machine learning system. An example that clearly depicts latency is a real-time translation application; if a half-second delay exists from the moment a user inputs a sentence to the time the app displays the translated text, then the system’s latency is 0.5 seconds.

      +

      In many cases, the throughput is more important.Throughput assesses the system’s capacity by measuring the number of inferences or predictions a machine learning model can handle within a specific unit of time. Consider a speech recognition system that employs a Recurrent Neural Network (RNN) as its underlying model; if this system can process and understand 50 different audio clips in a minute, then its throughput rate stands at 50 clips per minute.

      +

      In some cases, you care about both metrics and measure latency-bounded throughput, which measures the maximum throughput of a system while still meeting a specified latency constraint.

    7. Energy Efficiency: Energy efficiency is a metric that determines the amount of energy consumed by the machine learning model to perform a single inference. A prime example of this would be a natural language processing model built on a Transformer network architecture; if it utilizes 0.1 Joules of energy to translate a sentence from English to French, its energy efficiency is measured at 0.1 Joules per inference.

      8. -

    8. Memory Usage: Memory usage quantifies the volume of RAM needed by a machine learning model to carry out inference tasks. A relevant example to illustrate this would be a face recognition system based on a CNN; if such a system requires 150 MB of RAM to process and recognize faces within an image, its memory usage is 150 MB.

      9. -
    -
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    Tasks

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    The challenges in picking representative tasks for benchmarking inference machine learning systems are, by and large, somewhat similar to the taxonomy we have provided for training. Nevertheless, to be pedantic, let’s discuss those in the context of inference machine learning systems.

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      -

    1. Diversity of Applications: Inference machine learning is employed across numerous domains such as healthcare, finance, entertainment, security, and more. Each domain has unique tasks, and what’s representative in one domain might not be in another. For example, an inference task for predicting stock prices in the financial domain might differ from image recognition tasks in the medical domain.

      2. -

    2. Variability in Data Types: Different inference tasks require different types of data—text, images, videos, numerical data, etc. Ensuring that benchmarks address the wide variety of data types used in real-world applications is challenging. For example, voice recognition systems process audio data, which is vastly different from the visual data processed by facial recognition systems.

      3. -

    3. Task Complexity: The complexity of inference tasks can differ immensely, from basic classification tasks to intricate tasks requiring state-of-the-art models. For example, differentiating between two categories (binary classification) is typically simpler than detecting hundreds of object types in a crowded scene.

      4. -

    4. Real-time Requirements: Some applications demand immediate or real-time responses, while others may allow for some delay. In autonomous driving, real-time object detection and decision-making are paramount, whereas a recommendation engine for a shopping website might tolerate slight delays.

      5. -

    5. Scalability Concerns: Given the varied scale of applications, from edge devices to cloud-based servers, tasks must represent the diverse computational environments where inference occurs. For example, an inference task running on a smartphone’s limited resources differs from a powerful cloud server.

      6. -

    6. Evaluation Metrics Diversity: The metrics used to evaluate performance can differ significantly depending on the task. Finding a common ground or universally accepted metric for diverse tasks is challenging. For example, precision and recall might be vital for a medical diagnosis task, whereas throughput (inferences per second) might be more crucial for video processing tasks.

      7. -

    7. Ethical and Privacy Concerns: Concerns related to ethics and privacy exist, especially in sensitive areas like facial recognition or personal data processing. These concerns can impact the selection and nature of tasks used for benchmarking. For example, using real-world facial data for benchmarking can raise privacy issues, whereas synthetic data might not replicate real-world challenges.

      8. -

    8. Hardware Diversity: With a wide range of devices from GPUs, CPUs, and TPUs to custom ASICs used for inference, ensuring that tasks are representative across varied hardware is challenging. For example, a task optimized for inference on a GPU might perform sub-optimally on an edge device.

    +

    Other inference considerations, such as memory consumption, are typically constraints rather than directly benchmarked metrics. For example, if a system does not have enough memory to fit the model onto the device then it can’t run the model and produce a result. In some cases, one can use compression techniques to make the model fit, such as quantization, but any negative impact of those techniques are captured in the accuracy metric.

    Benchmarks

    Here are some original works that laid the fundamental groundwork for developing systematic benchmarks for inference machine learning systems.

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    MLPerf Inference Benchmark

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    MLPerf Inference is a comprehensive benchmark suite that assesses machine learning models’ performance during the inference phase. It encompasses a variety of workloads, including image classification, object detection, and natural language processing, aiming to provide standardized and insightful metrics for evaluating different inference systems.

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    Metrics:

    +

    MLPerf Inference Benchmark: MLPerf Inference is a comprehensive benchmark suite that assesses machine learning models’ performance during the inference phase. It encompasses a variety of workloads, including image classification, object detection, and natural language processing, aiming to provide standardized and insightful metrics for evaluating different inference systems. It’s metrics include:

    • Inference time
      • -
    • Latency
      • -
    • Throughput
      • +
    • Latency and/or throughput
    • Accuracy
    • Energy consumption
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    AI Benchmark

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    AI Benchmark is a benchmarking tool that evaluates the performance of AI and machine learning models on mobile devices and edge computing platforms. It includes tests for image classification, object detection, and natural language processing tasks, providing a detailed analysis of the inference performance on different hardware platforms.

    -

    Metrics:

    +

    AI Benchmark: AI Benchmark is a benchmarking tool that evaluates the performance of AI and machine learning models on mobile devices and edge computing platforms. It includes tests for image classification, object detection, and natural language processing tasks, providing a detailed analysis of the inference performance on different hardware platforms. It’s metrics include:

    • Inference time
    • Latency
      • @@ -1104,20 +1046,17 @@

      Benchmarks

    • Memory usage
    • Throughput
    -

    OpenVINO toolkit

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    OpenVINO toolkit provides a benchmark tool to measure the performance of deep learning models for various tasks, such as image classification, object detection, and facial recognition, on Intel hardware. It offers detailed insights into the models’ inference performance on different hardware configurations.

    -

    Metrics:

    +

    OpenVINO toolkit: OpenVINO toolkit provides a benchmark tool to measure the performance of deep learning models for various tasks, such as image classification, object detection, and facial recognition, on Intel hardware. It offers detailed insights into the models’ inference performance on different hardware configurations. It’s metrics include:

    • Inference time
    • Throughput
    • Latency
    • CPU and GPU utilization
    -

    Example Use Case

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    Consider a scenario where we want to evaluate the inference performance of an object detection model on a specific edge device.

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    Task: The task is to perform real-time object detection on video streams, detecting and identifying objects such as vehicles, pedestrians, and traffic signs.

    -

    Benchmark: We can use the AI Benchmark for this task as it evaluates inference performance on edge devices, which suits our scenario.

    -

    Metrics: We will measure the following metrics:

    +
    +
    +

    Example Use Case

    +

    Consider a scenario where we want to evaluate the inference performance of an object detection model on a specific edge device. The task is to perform real-time object detection on video streams, detecting and identifying objects such as vehicles, pedestrians, and traffic signs. We can use the AI Benchmark for this task as it evaluates inference performance on edge devices, which suits our scenario. We will measure the following metrics:

    • Inference time to process each video frame
    • Latency to generate the bounding boxes for detected objects
      • @@ -1175,72 +1114,68 @@

      Baseline Submission
      David, Robert, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, et al. 2021. “Tensorflow Lite Micro: Embedded Machine Learning for Tinyml Systems.” Proceedings of Machine Learning and Systems 3: 800–811.

    +
    +

    Modular Design

    +

    MLPerf Tiny (Banbury et al. 2021) supports the benchmarking of any component of the ML system stack without sacrificing the comparability of two results. Its modular design allows components to be swapped out for comparison or improvement. The reference implementations, shown in green and orange in Figure 11.3, act as the baseline for results.

    +

    In the closed division, the hardware can be swapped out while the model and dataset remain fixed, leading to apples-to-apples comparisons between two devices. This approach ensures that the performance differences observed can be attributed solely to the hardware changes, providing valuable insights into the capabilities of different devices.

    +

    On the other hand, the open division allows users to showcase their contributions and competitive advantages elsewhere in the stack by modifying a reference implementation (e.g., the model). This flexibility enables participants to demonstrate their innovative solutions and optimizations across various components of the ML system.

    +

    In short, MLPerf Tiny offers a flexible and modular way to assess and enhance TinyML applications. By allowing the benchmarking of individual components or the entire system, MLPerf Tiny makes it easier to compare and improve different aspects of the technology, ultimately driving advancements in TinyML.

    +
    +
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    + +
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    +Figure 11.3: MLPerf Tiny modular design. Credit: Banbury et al. (2021). +
    +
    +Banbury, Colby, Vijay Janapa Reddi, Peter Torelli, Nat Jeffries, Csaba Kiraly, Jeremy Holleman, Pietro Montino, et al. 2021. “MLPerf Tiny Benchmark.” In Thirty-Fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1). +
    +
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    11.4.7 Challenges and Limitations

    While benchmarking provides a structured methodology for performance evaluation in complex domains like artificial intelligence and computing, the process also poses several challenges. If not properly addressed, these challenges can undermine the credibility and accuracy of benchmarking results. Some of the predominant difficulties faced in benchmarking include the following:

      -
    • Incomplete problem coverage—Benchmark tasks may not fully represent the problem space. For instance, common image classification datasets like CIFAR-10 have limited diversity in image types. Algorithms tuned for such benchmarks may fail to generalize well to real-world datasets.
      • -
    • Statistical insignificance - Benchmarks must have enough trials and data samples to produce statistically significant results. For example, benchmarking an OCR model on only a few text scans may not adequately capture its true error rates.
      • -
    • Limited reproducibility—Varying hardware, software versions, codebases, and other factors can reduce the reproducibility of benchmark results. MLPerf addresses this by providing reference implementations and environment specifications.
      • -
    • Misalignment with end goals - Benchmarks focusing only on speed or accuracy metrics may misalign real-world objectives like cost and power efficiency. Benchmarks must reflect all critical performance axes.
      • -
    • Rapid staleness—Due to the rapid pace of advancements in AI and computing, benchmarks and their datasets can quickly become outdated. Maintaining up-to-date benchmarks is thus a persistent challenge.
      • +
    • Incomplete problem coverage: Benchmark tasks may not fully represent the problem space. For instance, common image classification datasets like CIFAR-10 have limited diversity in image types. Algorithms tuned for such benchmarks may fail to generalize well to real-world datasets.
      • +
    • Statistical insignificance: Benchmarks must have enough trials and data samples to produce statistically significant results. For example, benchmarking an OCR model on only a few text scans may not adequately capture its true error rates.
      • +
    • Limited reproducibility: Varying hardware, software versions, codebases, and other factors can reduce the reproducibility of benchmark results. MLPerf addresses this by providing reference implementations and environment specifications.
      • +
    • Misalignment with end goals: Benchmarks focusing only on speed or accuracy metrics may misalign real-world objectives like cost and power efficiency. Benchmarks must reflect all critical performance axes.
      • +
    • Rapid staleness: Due to the rapid pace of advancements in AI and computing, benchmarks and their datasets can quickly become outdated. Maintaining up-to-date benchmarks is thus a persistent challenge.
    -

    But of all these, the most important challenge is benchmark engineering.

    +

    However, of all these challenges, the most significant and probmeatic ones are the “hardware lottery” and benchmark engineering.

    Hardware Lottery

    -

    The “hardware lottery” in benchmarking machine learning systems refers to the situation where the success or efficiency of a machine learning model is significantly influenced by the compatibility of the model with the underlying hardware (Chu et al. 2021). In other words, some models perform exceptionally well because they are a good fit for the particular characteristics or capabilities of the hardware they are run on rather than because they are intrinsically superior models. Figure 11.2 demonstrates the performance of different models on different hardware: notice how (follow the big yellow arrow) the Mobilenet V3 Large model (in green) has the lowest latency among all models when run unquantized on the Pixel4 CPU. At the same time, it performs the worst on Pixel4 DSP Qualcomm Snapdragon 855. Unfortunately, the hardware used is often omitted from papers or only briefly mentioned, making reproducing results difficult, if possible.

    +

    The “hardware lottery” in benchmarking machine learning systems refers to the situation where the success or efficiency of a machine learning model is significantly influenced by the compatibility of the model with the underlying hardware (Chu et al. 2021). In other words, some models perform exceptionally well because they are a good fit for the particular characteristics or capabilities of the hardware they are run on rather than because they are intrinsically superior models.

    Chu, Grace, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, and Andrew Howard. 2021. “Discovering Multi-Hardware Mobile Models via Architecture Search.” In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 3022–31. IEEE. https://doi.org/10.1109/cvprw53098.2021.00337. -
    +

    Figure 11.4 demonstrates the performance of different models on different hardware: notice how (follow the big yellow arrow) the Mobilenet V3 Large model (in green) has the lowest latency among all models when run unquantized on the Pixel4 CPU. At the same time, it performs the worst on Pixel4 DSP Qualcomm Snapdragon 855. Unfortunately, the hardware used is often omitted from papers or only briefly mentioned, making reproducing results difficult, if possible.

    +
    -Figure 11.2: Hardware Lottery. +Figure 11.4: Hardware Lottery.

    For instance, certain machine learning models may be designed and optimized to take advantage of the parallel processing capabilities of specific hardware accelerators, such as Graphics Processing Units (GPUs) or Tensor Processing Units (TPUs). As a result, these models might show superior performance when benchmarked on such hardware compared to other models that are not optimized for the hardware.

    -

    For example, a 2018 paper introduced a new convolutional neural network architecture for image classification that achieved state-of-the-art accuracy on ImageNet. However, the paper only mentioned that the model was trained on 8 GPUs without specifying the model, memory size, or other relevant details. A follow-up study tried to reproduce the results but found that training the same model on commonly available GPUs achieved 10% lower accuracy, even after hyperparameter tuning. The original hardware likely had far higher memory bandwidth and compute power. As another example, training times for large language models can vary drastically based on the GPUs used.

    The “hardware lottery” can introduce challenges and biases in benchmarking machine learning systems, as the model’s performance is not solely dependent on the model’s architecture or algorithm but also on the compatibility and synergies with the underlying hardware. This can make it difficult to compare different models fairly and to identify the best model based on its intrinsic merits. It can also lead to a situation where the community converges on models that are a good fit for the popular hardware of the day, potentially overlooking other models that might be superior but incompatible with the current hardware trends.

    +

    This has additional impacts on hardware benchmarks. Modern popular models are often optimized specifically for GPUs as they are the most common hardware for training and inference. This puts other hardware architectures at a disadvantage when compared against GPUs since so much engineering effort has been put into optimizing for that type of hardware architecture. This can cause a feedback loop where GPUs look the best on benchmarks, so new models are optimized for GPUs, so GPUs win the benchmarks, and so on. Without careful design of benchmarks, machine learning can fall into a local minimum and not explore new and promising types of ML hardware architecture.

    Benchmark Engineering

    -

    Hardware lottery occurs when a machine learning model unintentionally performs exceptionally well or poorly on a specific hardware setup due to unforeseen compatibility or incompatibility. The model is not explicitly designed or optimized for that particular hardware by the developers or engineers; rather, it happens to align or (mis)align with the hardware’s capabilities or limitations. In this case, the model’s performance on the hardware is a byproduct of coincidence rather than design.

    -

    In contrast to the accidental hardware lottery, benchmark engineering involves deliberately optimizing or designing a machine learning model to perform exceptionally well on specific hardware, often to win benchmarks or competitions. This intentional optimization might include tweaking the model’s architecture, algorithms, or parameters to exploit the hardware’s features and capabilities fully.

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    Problem

    Benchmark engineering refers to tweaking or modifying an AI system to optimize performance on specific benchmark tests, often at the expense of generalizability or real-world performance. This can include adjusting hyperparameters, training data, or other aspects of the system specifically to achieve high scores on benchmark metrics without necessarily improving the overall functionality or utility of the system.

    The motivation behind benchmark engineering often stems from the desire to achieve high-performance scores for marketing or competitive purposes. High benchmark scores can demonstrate the superiority of an AI system compared to competitors and can be a key selling point for potential users or investors. This pressure to perform well on benchmarks sometimes leads to prioritizing benchmark-specific optimizations over more holistic improvements to the system.

    -

    It can lead to several risks and challenges. One of the primary risks is that the AI system may perform better in real-world applications than the benchmark scores suggest. This can lead to user dissatisfaction, reputational damage, and potential safety or ethical concerns. Furthermore, benchmark engineering can contribute to a lack of transparency and accountability in the AI community, as it can be difficult to discern how much of an AI system’s performance is due to genuine improvements versus benchmark-specific optimizations.

    +

    It can lead to several risks and challenges. One of the primary risks is that the AI system may perform worse in real-world applications than the benchmark scores suggest. This can lead to user dissatisfaction, reputational damage, and potential safety or ethical concerns. Furthermore, benchmark engineering can contribute to a lack of transparency and accountability in the AI community, as it can be difficult to discern how much of an AI system’s performance is due to genuine improvements versus benchmark-specific optimizations.

    The AI community must prioritize transparency and accountability to mitigate the risks associated with benchmark engineering. This can include disclosing any optimizations or adjustments made specifically for benchmark tests and providing more comprehensive evaluations of AI systems that include real-world performance metrics and benchmark scores. Researchers and developers must prioritize holistic improvements to AI systems that improve their generalizability and functionality across various applications rather than focusing solely on benchmark-specific optimizations.

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    Issues

    -

    One of the primary problems with benchmark engineering is that it can compromise the real-world performance of AI systems. When developers focus on optimizing their systems to achieve high scores on specific benchmark tests, they may neglect other important system performance aspects crucial in real-world applications. For example, an AI system designed for image recognition might be engineered to perform exceptionally well on a benchmark test that includes a specific set of images but needs help to recognize images slightly different from those in the test set accurately.

    -

    Another area for improvement with benchmark engineering is that it can result in AI systems that lack generalizability. In other words, while the system may perform well on the benchmark test, it may need help handling a diverse range of inputs or scenarios. For instance, an AI model developed for natural language processing might be engineered to achieve high scores on a benchmark test that includes a specific type of text but fails to process text that falls outside of that specific type accurately.

    -

    It can also lead to misleading results. When AI systems are engineered to perform well on benchmark tests, the results may not accurately reflect the system’s true capabilities. This can be problematic for users or investors who rely on benchmark scores to make informed decisions about which AI systems to use or invest in. For example, an AI system engineered to achieve high scores on a benchmark test for speech recognition might need to be more capable of accurately recognizing speech in real-world situations, leading users or investors to make decisions based on inaccurate information.

    -
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    Mitigation

    There are several ways to mitigate benchmark engineering. Transparency in the benchmarking process is crucial to maintaining benchmark accuracy and reliability. This involves clearly disclosing the methodologies, data sets, and evaluation criteria used in benchmark tests, as well as any optimizations or adjustments made to the AI system for the purpose of the benchmark.

    One way to achieve transparency is through the use of open-source benchmarks. Open-source benchmarks are made publicly available, allowing researchers, developers, and other stakeholders to review, critique, and contribute to them, thereby ensuring their accuracy and reliability. This collaborative approach also facilitates sharing best practices and developing more robust and comprehensive benchmarks.

    -

    One example is the MLPerf Tiny. It’s an open-source framework designed to make it easy to compare different solutions in the world of TinyML. Its modular design allows components to be swapped out for comparison or improvement. The reference implementations, shown in green and orange in Figure 11.3, act as the baseline for results. TinyML often needs optimization across the entire system, and users can contribute by focusing on specific parts, like quantization. The modular benchmark design allows users to showcase their contributions and competitive advantage by modifying a reference implementation. In short, MLPerf Tiny offers a flexible and modular way to assess and enhance TinyML applications, making it easier to compare and improve different aspects of the technology.

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    -Figure 11.3: MLPerf Tiny modular design. Credit: Mattson et al. (2020a). -
    -
    -———, et al. 2020a. “MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance.” IEEE Micro 40 (2): 8–16. https://doi.org/10.1109/mm.2020.2974843. -
    -

    Another method for achieving transparency is through peer review of benchmarks. This involves having independent experts review and validate the benchmark’s methodology, data sets, and results to ensure their credibility and reliability. Peer review can provide a valuable means of verifying the accuracy of benchmark tests and help build confidence in the results.

    Standardization of benchmarks is another important solution to mitigate benchmark engineering. Standardized benchmarks provide a common framework for evaluating AI systems, ensuring consistency and comparability across different systems and applications. This can be achieved by developing industry-wide standards and best practices for benchmarking and through common metrics and evaluation criteria.

    Third-party verification of results can also be valuable in mitigating benchmark engineering. This involves having an independent third party verify the results of a benchmark test to ensure their credibility and reliability. Third-party verification can build confidence in the results and provide a valuable means of validating the performance and capabilities of AI systems.

    @@ -1256,14 +1191,14 @@

    Machine learning datasets have a rich history and have evolved significantly over the years, growing in size, complexity, and diversity to meet the ever-increasing demands of the field. Let’s take a closer look at this evolution, starting from one of the earliest and most iconic datasets – MNIST.

    MNIST (1998)

    -

    The MNIST dataset, created by Yann LeCun, Corinna Cortes, and Christopher J.C. Burges in 1998, can be considered a cornerstone in the history of machine learning datasets. It comprises 70,000 labeled 28x28 pixel grayscale images of handwritten digits (0-9). MNIST has been widely used for benchmarking algorithms in image processing and machine learning as a starting point for many researchers and practitioners. Figure 11.4 shows some examples of handwritten digits.

    +

    The MNIST dataset, created by Yann LeCun, Corinna Cortes, and Christopher J.C. Burges in 1998, can be considered a cornerstone in the history of machine learning datasets. It comprises 70,000 labeled 28x28 pixel grayscale images of handwritten digits (0-9). MNIST has been widely used for benchmarking algorithms in image processing and machine learning as a starting point for many researchers and practitioners. Figure 11.5 shows some examples of handwritten digits.

    -Figure 11.4: MNIST handwritten digits. Credit: Suvanjanprasai. +Figure 11.5: MNIST handwritten digits. Credit: Suvanjanprasai.
    @@ -1298,14 +1233,14 @@

    Present and Future

    The development of machine learning models relies heavily on the availability of diverse, large, high-quality, and open-access data sets. As we move forward, addressing the ethical considerations and privacy concerns associated with using large data sets is crucial to ensure that machine learning technologies benefit society. There is a growing awareness that data acts as the rocket fuel for machine learning, driving and fueling the development of machine learning models. Consequently, more focus is being placed on developing the data sets themselves. We will explore this in further detail in the data benchmarking section.

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    11.5.2 Model Metrics

    Machine learning model evaluation has evolved from a narrow focus on accuracy to a more comprehensive approach considering a range of factors, from ethical considerations and real-world applicability to practical constraints like model size and efficiency. This shift reflects the field’s maturation as machine learning models are increasingly applied in diverse, complex real-world scenarios.

    Accuracy

    Accuracy is one of the most intuitive and commonly used metrics for evaluating machine learning models. At its core, accuracy measures the proportion of correct predictions made by the model out of all predictions. For example, imagine we have developed a machine learning model to classify images as either containing a cat or not. If we test this model on a dataset of 100 images, and it correctly identifies 90 of them, we would calculate its accuracy as 90%.

    In the initial stages of machine learning, accuracy was often the primary, if not the only, metric considered when evaluating model performance. This is understandable, given its straightforward nature and ease of interpretation. However, as the field has progressed, the limitations of relying solely on accuracy have become more apparent.

    -

    Consider the example of a medical diagnosis model with an accuracy of 95%. While at first glance this may seem impressive, we must delve deeper to assess the model’s performance fully. Suppose the model fails to accurately diagnose severe conditions that, while rare, can have severe consequences; its high accuracy may not be as meaningful. A pertinent example of this is Google’s retinopathy machine learning model, which was designed to diagnose diabetic retinopathy and diabetic macular edema from retinal photographs.

    +

    Consider the example of a medical diagnosis model with an accuracy of 95%. While at first glance this may seem impressive, this high-level metric may obscure that model’s true performance. Suppose the model fails to accurately diagnose severe conditions that, while rare, can have severe consequences; its high accuracy may not be as meaningful. A pertinent example of this is Google’s retinopathy machine learning model, which was designed to diagnose diabetic retinopathy and diabetic macular edema from retinal photographs.

    The Google model demonstrated impressive accuracy levels in lab settings. Still, when deployed in real-world clinical environments in Thailand, it faced significant challenges. In the real-world setting, the model encountered diverse patient populations, varying image quality, and a range of different medical conditions that it had not been exposed to during its training. Consequently, its performance could have been better, and it struggled to maintain the same accuracy levels observed in lab settings. This example serves as a clear reminder that while high accuracy is an important and desirable attribute for a medical diagnosis model, it must be evaluated in conjunction with other factors, such as the model’s ability to generalize to different populations and handle diverse and unpredictable real-world conditions, to understand its value and potential impact on patient care truly.

    Similarly, if the model performs well on average but exhibits significant disparities in performance across different demographic groups, this, too, would be cause for concern.

    The evolution of machine learning has thus seen a shift towards a more holistic approach to model evaluation, taking into account not just accuracy, but also other crucial factors such as fairness, transparency, and real-world applicability. A prime example is the Gender Shades project at MIT Media Lab, led by Joy Buolamwini, highlighting significant racial and gender biases in commercial facial recognition systems. The project evaluated the performance of three facial recognition technologies developed by IBM, Microsoft, and Face++. It found that they all exhibited biases, performing better on lighter-skinned and male faces compared to darker-skinned and female faces.

    @@ -1320,7 +1255,7 @@

    Fairness

    Additionally, transparency and interpretability of models are fundamental to achieving fairness. Understanding how a model makes decisions can reveal potential biases and enable stakeholders to hold developers accountable. Open-source tools like AI Fairness 360 by IBM and Fairness Indicators by TensorFlow are being developed to facilitate fairness assessments and mitigation of biases in machine learning models.

    Ensuring fairness in machine learning models, particularly in applications that significantly impact people’s lives, requires rigorous evaluation of the model’s performance across diverse groups, careful identification and mitigation of biases, and implementation of transparency and interpretability measures. By comprehensively addressing fairness, we can work towards developing machine learning models that are equitable, just, and beneficial for society.

    -
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    Complexity

    Parameters*
    @@ -1329,10 +1264,23 @@
    Parameters*

    Relying on parameter counts as a proxy for model complexity also fails to consider the model’s efficiency. If optimized for efficiency, a model with fewer parameters might be just as effective, if not more so, than a model with a higher parameter count. For instance, MobileNets, developed by Google, is a family of models designed specifically for mobile and edge devices. They utilize depth-wise separable convolutions to reduce the number of parameters and computational costs while still achieving competitive performance.

    In light of these limitations, the field has moved towards a more holistic approach to model benchmarking that considers parameter counts and other crucial factors such as floating-point operations per second (FLOPs), memory consumption, and latency. FLOPs, in particular, have emerged as an important metric as they provide a more accurate representation of the computational load a model imposes. This shift towards a more comprehensive approach to model benchmarking reflects a recognition of the need to balance performance with practicality, ensuring that models are effective, efficient, and deployable in real-world scenarios.

    -
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    FLOPS

    The size of a machine learning model is an essential aspect that directly impacts its usability in practical scenarios, especially when computational resources are limited. Traditionally, the number of parameters in a model was often used as a proxy for its size, with the underlying assumption being that more parameters would translate to better performance. However, this simplistic view does not consider the computational cost of processing these parameters. This is where the concept of floating-point operations per second (FLOPs) comes into play, providing a more accurate representation of the computational load a model imposes.

    FLOPs measure the number of floating-point operations a model performs to generate a prediction. A model with many FLOPs requires substantial computational resources to process the vast number of operations, which may render it impractical for certain applications. Conversely, a model with a lower FLOP count is more lightweight and can be easily deployed in scenarios where computational resources are limited.

    +

    Figure 11.6, from (Bianco et al. 2018), shows the relationship between Top-1 Accuracy on ImageNet (y-axis), the model’s G-FLOPs (x-axis), and the model’s parameter count (circle-size).

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    +Figure 11.6: A graph that depicts the top-1 imagenet accuracy vs. the FLOP count of a model along with the model’s parameter count. The figure shows a overall tradeoff between model complexity and accuracy, although some model architectures are more efficiency than others. Credit: Bianco et al. (2018). +
    +
    +Bianco, Simone, Remi Cadene, Luigi Celona, and Paolo Napoletano. 2018. “Benchmark Analysis of Representative Deep Neural Network Architectures.” IEEE Access 6: 64270–77. +
    +

    Let’s consider an example. BERT Bidirectional Encoder Representations from Transformers, a popular natural language processing model, has over 340 million parameters, making it a large model with high accuracy and impressive performance across various tasks. However, the sheer size of BERT, coupled with its high FLOP count, makes it a computationally intensive model that may not be suitable for real-time applications or deployment on edge devices with limited computational capabilities.

    In light of this, there has been a growing interest in developing smaller models that can achieve similar performance levels as their larger counterparts while being more efficient in computational load. DistilBERT, for instance, is a smaller version of BERT that retains 97% of its performance while being 40% smaller in terms of parameter count. The size reduction also translates to a lower FLOP count, making DistilBERT a more practical choice for resource-constrained scenarios.

    In summary, while parameter count provides a useful indication of model size, it is not a comprehensive metric as it needs to consider the computational cost associated with processing these parameters. FLOPs, on the other hand, offer a more accurate representation of a model’s computational load and are thus an essential consideration when deploying machine learning models in real-world scenarios, particularly when computational resources are limited. The evolution from relying solely on parameter count to considering FLOPs signifies a maturation in the field, reflecting a greater awareness of the practical constraints and challenges of deploying machine learning models in diverse settings.

    @@ -1383,7 +1331,7 @@

    11.6 Data Benchmarking

    -

    For the past several years, AI has focused on developing increasingly sophisticated machine learning models like large language models. The goal has been to create models capable of human-level or superhuman performance on a wide range of tasks by training them on massive datasets. This model-centric approach produced rapid progress, with models attaining state-of-the-art results on many established benchmarks. Figure 11.5 shows the performance of AI systems relative to human performance (marked by the horizontal line at 0) across five applications: handwriting recognition, speech recognition, image recognition, reading comprehension, and language understanding. Over the past decade, the AI performance has surpassed that of humans.

    +

    For the past several years, AI has focused on developing increasingly sophisticated machine learning models like large language models. The goal has been to create models capable of human-level or superhuman performance on a wide range of tasks by training them on massive datasets. This model-centric approach produced rapid progress, with models attaining state-of-the-art results on many established benchmarks. Figure 11.7 shows the performance of AI systems relative to human performance (marked by the horizontal line at 0) across five applications: handwriting recognition, speech recognition, image recognition, reading comprehension, and language understanding. Over the past decade, the AI performance has surpassed that of humans.

    However, growing concerns about issues like bias, safety, and robustness persist even in models that achieve high accuracy on standard benchmarks. Additionally, some popular datasets used for evaluating models are beginning to saturate, with models reaching near-perfect performance on existing test splits (Kiela et al. 2021). As a simple example, there are test images in the classic MNIST handwritten digit dataset that may look indecipherable to most human evaluators but were assigned a label when the dataset was created - models that happen to agree with those labels may appear to exhibit superhuman performance but instead may only be capturing idiosyncrasies of the labeling and acquisition process from the dataset’s creation in 1994. In the same spirit, computer vision researchers now ask, “Are we done with ImageNet?” (Beyer et al. 2020). This highlights limitations in the conventional model-centric approach of optimizing accuracy on fixed datasets through architectural innovations.

    Beyer, Lucas, Olivier J Hénaff, Alexander Kolesnikov, Xiaohua Zhai, and Aäron van den Oord. 2020. “Are We Done with Imagenet?” ArXiv Preprint abs/2006.07159. https://arxiv.org/abs/2006.07159. @@ -1393,7 +1341,7 @@

    -Figure 11.5: AI vs human performane. Credit: Kiela et al. (2021). +Figure 11.7: AI vs human performane. Credit: Kiela et al. (2021).
    Kiela, Douwe, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, et al. 2021. “Dynabench: Rethinking Benchmarking in NLP.” In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 4110–24. Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.324. @@ -1448,21 +1396,21 @@

    “A Unified Approach to Interpreting Model Predictions.” In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, edited by Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, and Roman Garnett, 4765–74. https://proceedings.neurips.cc/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html.

    Coleman, Cody, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, and I. Zeki Yalniz. 2022. “Similarity Search for Efficient Active Learning and Search of Rare Concepts.” In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, the Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 6402–10. AAAI Press. https://ojs.aaai.org/index.php/AAAI/article/view/20591. -

    There are many other methods in the wild. But the goal is the same. Refining the dataset and ensuring it is of the highest quality can reduce the training time required for models to converge. However, achieving this requires developing and implementing sophisticated methods, algorithms, and techniques that can clean, preprocess, and augment data while retaining the most informative samples. This is an ongoing challenge that will require continued research and innovation in the field of machine learning.

    +

    There are many other methods in the wild. But the goal is the same. Refining the dataset and ensuring it is of the highest quality can reduce the training time required for models to converge. However, achieving this requires developing and implementing sophisticated methods, algorithms, and techniques that can clean, preprocess, and augment data while retaining the most informative samples. This is an ongoing challenge that will require continued research and innovation in machine learning.

    11.7 The Trifecta

    While system, model, and data benchmarks have traditionally been studied in isolation, there is a growing recognition that to understand and advance AI fully, we must take a more holistic view. By iterating between benchmarking systems, models, and datasets together, novel insights that are not apparent when these components are analyzed separately may emerge. System performance impacts model accuracy, model capabilities drive data needs, and data characteristics shape system requirements.

    Benchmarking the triad of system, model, and data in an integrated fashion will likely lead to discoveries about the co-design of AI systems, the generalization properties of models, and the role of data curation and quality in enabling performance. Rather than narrow benchmarks of individual components, the future of AI requires benchmarks that evaluate the symbiotic relationship between computing platforms, algorithms, and training data. This systems-level perspective will be critical to overcoming current limitations and unlocking the next level of AI capabilities.

    -

    Figure 11.6 illustrates the many potential ways to interplay data benchmarking, model benchmarking, and system infrastructure benchmarking together. Exploring these intricate interactions is likely to uncover new optimization opportunities and enhancement capabilities. The data, model, and system benchmark triad offers a rich space for co-design and co-optimization.

    +

    Figure 11.8 illustrates the many potential ways to interplay data benchmarking, model benchmarking, and system infrastructure benchmarking together. Exploring these intricate interactions is likely to uncover new optimization opportunities and enhancement capabilities. The data, model, and system benchmark triad offers a rich space for co-design and co-optimization.

    -Figure 11.6: Benchmarking trifecta. +Figure 11.8: Benchmarking trifecta.
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    Kleinbard
    Kleinbard
    +Matthew Stewart
    Matthew Stewart
    + + Jared Ping
    Jared Ping
    @@ -713,25 +716,22 @@

    Contributors

    ishapira
    ishapira
    - -Maximilian Lam
    Maximilian Lam
    - Marcelo Rovai
    Marcelo Rovai
    -Jayson Lin
    Jayson Lin
    +Maximilian Lam
    Maximilian Lam
    -Matthew Stewart
    Matthew Stewart
    +Jayson Lin
    Jayson Lin
    -Jeffrey Ma
    Jeffrey Ma
    +Sophia Cho
    Sophia Cho
    -Sophia Cho
    Sophia Cho
    +Jeffrey Ma
    Jeffrey Ma
    @@ -756,9 +756,15 @@

    Contributors

    Aghyad Deeb
    Aghyad Deeb
    +Abdulrahman Mahmoud
    Abdulrahman Mahmoud
    + + Aghyad Deeb
    Aghyad Deeb
    +arnaumarin
    arnaumarin
    + + Divya
    Divya
    @@ -784,6 +790,9 @@

    Contributors

    ELSuitorHarvard
    ELSuitorHarvard
    + +Jared Ni
    Jared Ni
    + diff --git a/docs/references.html b/docs/references.html index 0c7b77ef..34c55e9f 100644 --- a/docs/references.html +++ b/docs/references.html @@ -803,6 +803,12 @@

    References

    Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 338–43. IEEE; IEEE. https://doi.org/10.1109/3ict56508.2022.9990661. +
    +Banbury, Colby, Vijay Janapa Reddi, Peter Torelli, Nat Jeffries, Csaba +Kiraly, Jeremy Holleman, Pietro Montino, et al. 2021. “MLPerf Tiny +Benchmark.” In Thirty-Fifth Conference on Neural Information +Processing Systems Datasets and Benchmarks Track (Round 1). +
    Bank, Dor, Noam Koenigstein, and Raja Giryes. 2023. “Autoencoders.” Machine Learning for Data Science @@ -873,6 +879,11 @@

    References

    ACM/IEEE International Symposium on Low Power Electronics and Design    , 145–50. ACM. https://doi.org/10.1145/3370748.3406564.
    +
    +Bianco, Simone, Remi Cadene, Luigi Celona, and Paolo Napoletano. 2018. +“Benchmark Analysis of Representative Deep Neural Network +Architectures.” IEEE Access 6: 64270–77. +
    Biega, Asia J., Peter Potash, Hal Daumé, Fernando Diaz, and Michèle Finck. 2020. “Operationalizing the Legal Principle of Data diff --git a/docs/search.json b/docs/search.json index 852a7be7..2ecfd36d 100644 --- a/docs/search.json +++ b/docs/search.json @@ -59,7 +59,7 @@ "href": "contents/contributors.html", "title": "Contributors", "section": "", - "text": "We extend our sincere thanks to the diverse group of individuals who have generously contributed their expertise, insights, and time to enhance both the content and codebase of this project. Below you will find a list of all contributors. If you would like to contribute to this project, please see our GitHub page.\n\n\n\n\n\n\n\n\nVijay Janapa Reddi\n\n\nIkechukwu Uchendu\n\n\nnaeemkh\n\n\nDouwe den Blanken\n\n\nShanzeh Batool\n\n\n\n\nKleinbard\n\n\nJared Ping\n\n\neliasab16\n\n\nishapira\n\n\nMaximilian Lam\n\n\n\n\nMarcelo Rovai\n\n\nJayson Lin\n\n\nMatthew Stewart\n\n\nJeffrey Ma\n\n\nSophia Cho\n\n\n\n\nKorneel Van den Berghe\n\n\nZishen\n\n\nSrivatsan Krishnan\n\n\nAlex Rodriguez\n\n\nAndrea Murillo\n\n\n\n\nAghyad Deeb\n\n\nAghyad Deeb\n\n\nDivya\n\n\narnaumarin\n\n\nAbdulrahman Mahmoud\n\n\n\n\nMichael Schnebly\n\n\nEmil Njor\n\n\nJared Ni\n\n\noishib\n\n\nELSuitorHarvard\n\n\n\n\nMark Mazumder\n\n\nJae-Won Chung\n\n\nSara Khosravi\n\n\nHenry Bae\n\n\nYU SHUN, HSIAO\n\n\n\n\nAditi Raju\n\n\nPong Trairatvorakul\n\n\nMarco Zennaro\n\n\neurashin\n\n\nJennifer Zhou\n\n\n\n\nAndrew Bass\n\n\nColby Banbury\n\n\nShvetank Prakash\n\n\nAlex Oesterling\n\n\nBruno Scaglione\n\n\n\n\nGauri Jain\n\n\nEric D\n\n\nAllen-Kuang\n\n\nSercan Aygün\n\n\nAnnie Laurie Cook\n\n\n\n\nCurren Iyer\n\n\nyanjingl\n\n\nYang Zhou\n\n\nabigailswallow\n\n\nBatur Arslan\n\n\n\n\nCostin-Andrei Oncescu\n\n\nYu-Shun Hsiao\n\n\nsonghan\n\n\nJessica Quaye\n\n\nEmeka Ezike\n\n\n\n\nhappyappledog\n\n\nJason Yik\n\n\nShreya Johri\n\n\nSonia Murthy\n\n\nVijay Edupuganti\n\n\n\n\nThe Random DIY", + "text": "We extend our sincere thanks to the diverse group of individuals who have generously contributed their expertise, insights, and time to enhance both the content and codebase of this project. Below you will find a list of all contributors. If you would like to contribute to this project, please see our GitHub page.\n\n\n\n\n\n\n\n\nVijay Janapa Reddi\n\n\nIkechukwu Uchendu\n\n\nnaeemkh\n\n\nDouwe den Blanken\n\n\nShanzeh Batool\n\n\n\n\nKleinbard\n\n\nMatthew Stewart\n\n\nJared Ping\n\n\neliasab16\n\n\nishapira\n\n\n\n\nMarcelo Rovai\n\n\nMaximilian Lam\n\n\nJayson Lin\n\n\nSophia Cho\n\n\nJeffrey Ma\n\n\n\n\nKorneel Van den Berghe\n\n\nZishen\n\n\nSrivatsan Krishnan\n\n\nAlex Rodriguez\n\n\nAndrea Murillo\n\n\n\n\nAghyad Deeb\n\n\nAbdulrahman Mahmoud\n\n\nAghyad Deeb\n\n\narnaumarin\n\n\nDivya\n\n\narnaumarin\n\n\nAbdulrahman Mahmoud\n\n\n\n\nMichael Schnebly\n\n\nEmil Njor\n\n\nJared Ni\n\n\noishib\n\n\nELSuitorHarvard\n\n\nJared Ni\n\n\n\n\nMark Mazumder\n\n\nJae-Won Chung\n\n\nSara Khosravi\n\n\nHenry Bae\n\n\nYU SHUN, HSIAO\n\n\n\n\nAditi Raju\n\n\nPong Trairatvorakul\n\n\nMarco Zennaro\n\n\neurashin\n\n\nJennifer Zhou\n\n\n\n\nAndrew Bass\n\n\nColby Banbury\n\n\nShvetank Prakash\n\n\nAlex Oesterling\n\n\nBruno Scaglione\n\n\n\n\nGauri Jain\n\n\nEric D\n\n\nAllen-Kuang\n\n\nSercan Aygün\n\n\nAnnie Laurie Cook\n\n\n\n\nCurren Iyer\n\n\nyanjingl\n\n\nYang Zhou\n\n\nabigailswallow\n\n\nBatur Arslan\n\n\n\n\nCostin-Andrei Oncescu\n\n\nYu-Shun Hsiao\n\n\nsonghan\n\n\nJessica Quaye\n\n\nEmeka Ezike\n\n\n\n\nhappyappledog\n\n\nJason Yik\n\n\nShreya Johri\n\n\nSonia Murthy\n\n\nVijay Edupuganti\n\n\n\n\nThe Random DIY", "crumbs": [ "FRONT MATTER", "Contributors" @@ -1126,7 +1126,7 @@ "href": "contents/benchmarking/benchmarking.html", "title": "11  Benchmarking AI", "section": "", - "text": "11.1 Introduction\nBenchmarking provides the essential measurements needed to drive machine learning progress and truly understand system performance. As the physicist Lord Kelvin famously said, “To measure is to know.” Benchmarks allow us to quantitatively know the capabilities of different models, software, and hardware. They allow ML developers to measure the inference time, memory usage, power consumption, and other metrics that characterize a system. Moreover, benchmarks create standardized processes for measurement, enabling fair comparisons across different solutions.\nWhen benchmarks are maintained over time, they become instrumental in capturing progress across generations of algorithms, datasets, and hardware. The models and techniques that set new records on ML benchmarks from one year to the next demonstrate tangible improvements in what’s possible for on-device machine learning. By using benchmarks to measure, ML practitioners can know the real-world capabilities of their systems and have confidence that each step reflects genuine progress towards the state-of-the-art.\nBenchmarking has several important goals and objectives that guide its implementation for machine learning systems.\nThis chapter will cover the 3 types of AI benchmarks, the standard metrics, tools, and techniques designers use to optimize their systems, and the challenges and trends in benchmarking.", + "text": "11.1 Introduction\nBenchmarking provides the necessary measurements to drive machine learning progress and truly understand system performance. As the physicist Lord Kelvin famously said, “To measure is to know.” Benchmarks allow us to quantitatively know the capabilities of different models, software, and hardware. They allow ML developers to measure the inference time, memory usage, power consumption, and other metrics that characterize a system. Moreover, benchmarks create standardized processes for measurement, enabling fair comparisons across different solutions.\nWhen benchmarks are maintained over time, they become instrumental in capturing progress across generations of algorithms, datasets, and hardware. The models and techniques that set new records on ML benchmarks from one year to the next demonstrate tangible improvements in what’s possible for on-device machine learning. By using benchmarks to measure, ML practitioners can know the real-world capabilities of their systems and have confidence that each step reflects genuine progress towards the state-of-the-art.\nFigure 11.1 shows the progress of the MLPerf Training Benchmark over time. The chart demonstrates the relative performance improvement on each task over each iteration of the benchmark. The results show a steady improvement in performance across all tasks over time, even beating out the rate of hardware progress predicted by Moore’s Law.\nBenchmarking has several important goals and objectives that guide its implementation for machine learning systems.\nThis chapter will cover the 3 types of AI benchmarks, the standard metrics, tools, and techniques designers use to optimize their systems, and the challenges and trends in benchmarking.", "crumbs": [ "Deployment", "11  Benchmarking AI" @@ -1137,7 +1137,7 @@ "href": "contents/benchmarking/benchmarking.html#sec-benchmarking-ai", "title": "11  Benchmarking AI", "section": "", - "text": "Performance assessment. This involves evaluating key metrics like a given model’s speed, accuracy, and efficiency. For instance, in a TinyML context, it is crucial to benchmark how quickly a voice assistant can recognize commands, as this evaluates real-time performance.\nResource evaluation. This means assessing the model’s impact on critical system resources, including battery life, memory usage, and computational overhead. A relevant example is comparing the battery drain of two different image recognition algorithms running on a wearable device.\nValidation and verification. Benchmarking helps ensure the system functions correctly and meets specified requirements. One way is by checking the accuracy of an algorithm, like a heart rate monitor on a smartwatch, against readings from medical-grade equipment as a form of clinical validation.\nCompetitive analysis. This enables comparing solutions against competing offerings in the market. For example, benchmarking a custom object detection model versus common TinyML benchmarks like MobileNet and Tiny-YOLO.\nCredibility. Accurate benchmarks uphold the credibility of AI solutions and the organizations that develop them. They demonstrate a commitment to transparency, honesty, and quality, which are essential in building trust with users and stakeholders.\nRegulation and Standardization. As the AI industry continues to grow, there is an increasing need for regulation and standardization to ensure that AI solutions are safe, ethical, and effective. Accurate and reliable benchmarks are essential to this regulatory framework, as they provide the data and evidence needed to assess compliance with industry standards and legal requirements.", + "text": "Figure 11.1: MLPerf Training Benchmark results over time. The chart shows the relative performance improvement on each task over each interation of the benchmark. The results show a steady improvement in performance across all tasks over time, beating out the imporvements predicted by moore’s law. Credit: MLPerf-Training.\n\n\n\n\n\nPerformance assessment. This involves evaluating key metrics like a given model’s speed, accuracy, and efficiency. For instance, in a TinyML context, it is crucial to benchmark how quickly a voice assistant can recognize commands, as this evaluates real-time performance.\nResource evaluation. This means assessing the model’s impact on critical system resources, including battery life, memory usage, and computational overhead. A relevant example is comparing the battery drain of two different image recognition algorithms running on a wearable device.\nValidation and verification. Benchmarking helps ensure the system functions correctly and meets specified requirements. One way is by checking the accuracy of an algorithm, like a heart rate monitor on a smartwatch, against readings from medical-grade equipment as a form of clinical validation.\nCompetitive analysis. This enables comparing solutions against competing offerings in the market. For example, benchmarking a custom object detection model versus common TinyML benchmarks like MobileNet and Tiny-YOLO.\nCredibility. Accurate benchmarks uphold the credibility of AI solutions and the organizations that develop them. They demonstrate a commitment to transparency, honesty, and quality, which are essential in building trust with users and stakeholders.\nRegulation and Standardization. As the AI industry continues to grow, there is an increasing need for regulation and standardization to ensure that AI solutions are safe, ethical, and effective. Accurate and reliable benchmarks are essential to this regulatory framework, as they provide the data and evidence needed to assess compliance with industry standards and legal requirements.", "crumbs": [ "Deployment", "11  Benchmarking AI" @@ -1170,7 +1170,7 @@ "href": "contents/benchmarking/benchmarking.html#system-benchmarking", "title": "11  Benchmarking AI", "section": "11.4 System Benchmarking", - "text": "11.4 System Benchmarking\n\n11.4.1 Granularity\nMachine learning system benchmarking provides a structured and systematic approach to assessing a system’s performance across various dimensions. Given the complexity of ML systems, we can dissect their performance through different levels of granularity and obtain a comprehensive view of the system’s efficiency, identify potential bottlenecks, and pinpoint areas for improvement. To this end, various types of benchmarks have evolved over the years and continue to persist.\nFigure 11.1 illustrates the different layers of granularity of an ML system. At the application level, end-to-end benchmarks assess the overall system performance, considering factors like data preprocessing, model training, and inference. While at the model layer, benchmarks focus on assessing the efficiency and accuracy of specific models. This includes evaluating how well models generalize to new data and their computational efficiency during training and inference. Furthermore, benchmarking can extend to hardware and software infrastructure, examining the performance of individual components like GPUs or TPUs.\n\n\n\n\n\n\nFigure 11.1: ML system granularity.\n\n\n\n\nMicro Benchmarks\nMicro-benchmarks in AI are specialized, evaluating distinct components or specific operations within a broader machine learning process. These benchmarks zero in on individual tasks, offering insights into the computational demands of a particular neural network layer, the efficiency of a unique optimization technique, or the throughput of a specific activation function. For instance, practitioners might use micro-benchmarks to measure the computational time required by a convolutional layer in a deep learning model or to evaluate the speed of data preprocessing that feeds data into the model. Such granular assessments are instrumental in fine-tuning and optimizing discrete aspects of AI models, ensuring that each component operates at its peak potential.\nThese types of microbenchmarks include zooming into very specific operations or components of the AI pipeline, such as the following:\n\nTensor Operations: Libraries like cuDNN (by NVIDIA) often have benchmarks to measure the performance of individual tensor operations, such as convolutions or matrix multiplications, which are foundational to deep learning computations.\nActivation Functions: Benchmarks that measure the speed and efficiency of various activation functions like ReLU, Sigmoid, or Tanh in isolation.\nLayer Benchmarks: Evaluations of the computational efficiency of distinct neural network layers, such as LSTM or Transformer blocks, when operating on standardized input sizes.\n\nExample: DeepBench, introduced by Baidu, is a good example of something that assesses the above. DeepBench assesses the performance of basic operations in deep learning models, providing insights into how different hardware platforms handle neural network training and inference.\n\n\n\n\n\n\nExercise 11.1: System Benchmarking - Tensor Operations\n\n\n\n\n\nEver wonder how your image filters get so fast? Special libraries like cuDNN supercharge those calculations on certain hardware. In this Colab, we’ll use cuDNN with PyTorch to speed up image filtering. Think of it as a tiny benchmark, showing how the right software can unlock your GPU’s power!\n\n\n\n\n\n\nMacro Benchmarks\nMacro benchmarks provide a holistic view, assessing the end-to-end performance of entire machine learning models or comprehensive AI systems. Rather than focusing on individual operations, macro-benchmarks evaluate the collective efficacy of models under real-world scenarios or tasks. For example, a macro-benchmark might assess the complete performance of a deep learning model undertaking image classification on a dataset like ImageNet. This includes gauging accuracy, computational speed, and resource consumption. Similarly, one might measure the cumulative time and resources needed to train a natural language processing model on extensive text corpora or evaluate the performance of an entire recommendation system, from data ingestion to final user-specific outputs.\nExamples: These benchmarks evaluate the AI model:\n\nMLPerf Inference(Reddi et al. (2020)): An industry-standard set of benchmarks for measuring the performance of machine learning software and hardware. MLPerf has a suite of dedicated benchmarks for specific scales, such as MLPerf Mobile for mobile class devices and MLPerf Tiny, which focuses on microcontrollers and other resource-constrained devices.\nEEMBC’s MLMark: A benchmarking suite for evaluating the performance and power efficiency of embedded devices running machine learning workloads. This benchmark provides insights into how different hardware platforms handle tasks like image recognition or audio processing.\nAI-Benchmark(Ignatov et al. (2019)): A benchmarking tool designed for Android devices, it evaluates the performance of AI tasks on mobile devices, encompassing various real-world scenarios like image recognition, face parsing, and optical character recognition.\n\n\nReddi, Vijay Janapa, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, et al. 2020. “MLPerf Inference Benchmark.” In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 446–59. IEEE; IEEE. https://doi.org/10.1109/isca45697.2020.00045.\n\nIgnatov, Andrey, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, and Luc Van Gool. 2019. “AI Benchmark: All about Deep Learning on Smartphones in 2019.” In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 0–0. IEEE. https://doi.org/10.1109/iccvw.2019.00447.\n\n\nEnd-to-end Benchmarks\nEnd-to-end benchmarks provide an all-inclusive evaluation that extends beyond the boundaries of the AI model itself. Instead of focusing solely on a machine learning model’s computational efficiency or accuracy, these benchmarks encompass the entire pipeline of an AI system. This includes initial data preprocessing, the core model’s performance, post-processing of the model’s outputs, and other integral components like storage and network interactions.\nData preprocessing is the first stage in many AI systems, transforming raw data into a format suitable for model training or inference. These preprocessing steps’ efficiency, scalability, and accuracy are vital for the overall system’s performance. End-to-end benchmarks assess this phase, ensuring that data cleaning, normalization, augmentation, or any other transformation process doesn’t become a bottleneck.\nThe post-processing phase also takes center stage. This involves interpreting the model’s raw outputs, possibly converting scores into meaningful categories, filtering results, or even integrating with other systems. In real-world applications, this phase is crucial for delivering actionable insights, and end-to-end benchmarks ensure it’s both efficient and effective.\nBeyond the core AI operations, other system components are important in the overall performance and user experience. Storage solutions, whether cloud-based, on-premises, or hybrid, can significantly impact data retrieval and storage times, especially with vast AI datasets. Similarly, network interactions, vital for cloud-based AI solutions or distributed systems, can become performance bottlenecks if not optimized. End-to-end benchmarks holistically evaluate these components, ensuring that the entire system operates seamlessly, from data retrieval to final output delivery.\nTo date, there are no public, end-to-end benchmarks that take into account the role of data storage, network, and compute performance. Arguably, MLPerf Training and Inference come close to the idea of an end-to-end benchmark, but they are exclusively focused on ML model performance and do not represent real-world deployment scenarios of how models are used in the field. Nonetheless, they provide a very useful signal that helps assess AI system performance.\nGiven the inherent specificity of end-to-end benchmarking, it is typically performed internally at a company by instrumenting real production deployments of AI. This allows engineers to have a realistic understanding and breakdown of the performance, but given the sensitivity and specificity of the information, it is rarely reported outside of the company.\n\n\nUnderstanding the Trade-offs\nDifferent issues arise at different stages of an AI system. Micro-benchmarks help fine-tune individual components, macro-benchmarks aid in refining model architectures or algorithms, and end-to-end benchmarks guide the optimization of the entire workflow. By understanding where a problem lies, developers can apply targeted optimizations.\nMoreover, while individual components of an AI system might perform optimally in isolation, bottlenecks can emerge when they interact. End-to-end benchmarks, in particular, are crucial to ensure that the entire system, when operating collectively, meets desired performance and efficiency standards.\nFinally, organizations can make informed decisions on where to allocate resources by discerning performance bottlenecks or inefficiencies. For instance, if micro-benchmarks reveal inefficiencies in specific tensor operations, investments can be directed toward specialized hardware accelerators. Conversely, if end-to-end benchmarks indicate data retrieval issues, investments might be channeled toward better storage solutions.\n\n\n\n11.4.2 Benchmark Components\nAt its core, an AI benchmark is more than just a test or a score; it’s a comprehensive evaluation framework. To understand this in-depth, let’s break down the typical components that go into an AI benchmark.\n\nStandardized Datasets\nDatasets serve as the foundation for most AI benchmarks. They provide a consistent data set on which models are trained and evaluated, ensuring a level playing field for comparisons.\nExample: ImageNet, a large-scale dataset containing millions of labeled images spanning thousands of categories, is a popular benchmarking standard for image classification tasks.\n\n\nPre-defined Tasks\nA benchmark should have a clear objective or task that models aim to achieve. This task defines the problem the AI system is trying to solve.\nExample: Tasks for natural language processing benchmarks might include sentiment analysis, named entity recognition, or machine translation.\n\n\nEvaluation Metrics\nOnce a task is defined, benchmarks require metrics to quantify performance. These metrics offer objective measures to compare different models or systems.\nIn classification tasks, metrics like accuracy, precision, recall, and F1 score are commonly used. Mean squared or absolute errors might be employed for regression tasks.\n\n\nBaseline Models\nBenchmarks often include baseline models or reference implementations. These serve as starting points or minimum performance standards against which new models or techniques can be compared.\nExample: In many benchmark suites, simple models like linear regression or basic neural networks serve as baselines to provide context for more complex model evaluations.\n\n\nHardware and Software Specifications\nGiven the variability introduced by different hardware and software configurations, benchmarks often specify or document the hardware and software environments in which tests are conducted.\nExample: An AI benchmark might note that evaluations were conducted on an NVIDIA Tesla V100 GPU using TensorFlow v2.4.\n\n\nEnvironmental Conditions\nAs external factors can influence benchmark results, it’s essential to either control or document conditions like temperature, power source, or system background processes.\nExample: Mobile AI benchmarks might specify that tests were conducted at room temperature with devices plugged into a power source to eliminate battery-level variances.\n\n\nReproducibility Rules\nTo ensure benchmarks are credible and can be replicated by others in the community, they often include detailed protocols covering everything from random seeds used to exact hyperparameters.\nExample: A benchmark for a reinforcement learning task might detail the exact training episodes, exploration-exploitation ratios, and reward structures used.\n\n\nResult Interpretation Guidelines\nBeyond raw scores or metrics, benchmarks often provide guidelines or context to interpret results, helping practitioners understand the broader implications.\nExample: A benchmark might highlight that while Model A scored higher than Model B in accuracy, it offers better real-time performance, making it more suitable for time-sensitive applications.\n\n\n\n11.4.3 Training vs. Inference\nThe development life cycle of a machine learning model involves two critical phases - training and inference. Training is the process of learning patterns from data to create the model. Inference refers to the model making predictions on new unlabeled data. Both phases play indispensable yet distinct roles. Consequently, each phase warrants rigorous benchmarking to evaluate performance metrics like speed, accuracy, and computational efficiency.\nBenchmarking the training phase provides insights into how different model architectures, hyperparameter values, and optimization algorithms impact the time and resources needed to train the model. For instance, benchmarking shows how neural network depth affects training time on a given dataset. Benchmarking also reveals how hardware accelerators like GPUs and TPUs can speed up training.\nOn the other hand, benchmarking inference evaluates model performance in real-world conditions after deployment. Key metrics include latency, throughput, memory footprint, and power consumption. Inference benchmarking determines if a model meets the requirements of its target application regarding response time and device constraints, which is typically the focus of TinyML. However, we will discuss these broadly to ensure a general understanding.\n\n\n11.4.4 Training Benchmarks\nTraining represents the phase where the system processes and ingests raw data to adjust and refine its parameters. Therefore, it is an algorithmic activity and involves system-level considerations, including data pipelines, storage, computing resources, and orchestration mechanisms. The goal is to ensure that the ML system can efficiently learn from data, optimizing both the model’s performance and the system’s resource utilization.\n\nPurpose\nFrom an ML systems perspective, training benchmarks evaluate how well the system scales with increasing data volumes and computational demands. It’s about understanding the interplay between hardware, software, and the data pipeline in the training process.\nConsider a distributed ML system designed to train on vast datasets, like those used in large-scale e-commerce product recommendations. A training benchmark would assess how efficiently the system scales across multiple nodes, manage data sharding and handle failures or node drop-offs during training.\nTraining benchmarks evaluate CPU, GPU, memory, and network utilization during the training phase, guiding system optimizations. When training a model in a cloud-based ML system, it’s crucial to understand how resources are being utilized. Are GPUs being fully leveraged? Is there unnecessary memory overhead? Benchmarks can highlight bottlenecks or inefficiencies in resource utilization, leading to cost savings and performance improvements.\nTraining an ML model is contingent on timely and efficient data delivery. Benchmarks in this context would also assess the efficiency of data pipelines, data preprocessing speed, and storage retrieval times. For real-time analytics systems, like those used in fraud detection, the speed at which training data is ingested, preprocessed, and fed into the model can be critical. Benchmarks would evaluate the latency of data pipelines, the efficiency of storage systems (like SSDs vs. HDDs), and the speed of data augmentation or transformation tasks.\n\n\nMetrics\nWhen viewed from a systems perspective, training metrics offer insights that transcend conventional algorithmic performance indicators. These metrics measure the model’s learning efficacy and gauge the efficiency, scalability, and robustness of the entire ML system during the training phase. Let’s delve deeper into these metrics and their significance.\nThe following metrics are often considered important:\n\nTraining Time: The time it takes to train a model from scratch until it reaches a satisfactory performance level. It directly measures the computational resources required to train a model. For example, Google’s BERT(Devlin et al. (2019)) is a natural language processing model that requires several days to train on a massive corpus of text data using multiple GPUs. The long training time is a significant resource consumption and cost challenge.\nScalability: How well the training process can handle increases in data size or model complexity. Scalability can be assessed by measuring training time, memory usage, and other resource consumption as data size or model complexity increases. OpenAI’s GPT-3(Brown et al. (2020)) model has 175 billion parameters, making it one of the largest language models in existence. Training GPT-3 required extensive engineering efforts to scale the training process to handle the massive model size. This involved using specialized hardware, distributed training, and other techniques to ensure the model could be trained efficiently.\nResource Utilization: The extent to which the training process utilizes available computational resources such as CPU, GPU, memory, and disk I/O. High resource utilization can indicate an efficient training process, while low utilization can suggest bottlenecks or inefficiencies. For instance, training a convolutional neural network (CNN) for image classification requires significant GPU resources. Utilizing multi-GPU setups and optimizing the training code for GPU acceleration can greatly improve resource utilization and training efficiency.\nMemory Consumption: The amount of memory the training process uses. Memory consumption can be a limiting factor for training large models or datasets. For example, Google researchers faced significant memory consumption challenges when training BERT. The model has hundreds of millions of parameters, requiring large amounts of memory. The researchers had to develop techniques to reduce memory consumption, such as gradient checkpointing and model parallelism.\nEnergy Consumption: The energy consumed during training. As machine learning models become more complex, energy consumption has become an important consideration. Training large machine learning models can consume significant energy, leading to a large carbon footprint. For instance, the training of OpenAI’s GPT-3 was estimated to have a carbon footprint equivalent to traveling by car for 700,000 kilometers.\nThroughput: The number of training samples processed per unit time. Higher throughput generally indicates a more efficient training process. The throughput is an important metric to consider when training a recommendation system for an e-commerce platform. A high throughput ensures that the model can process large volumes of user interaction data promptly, which is crucial for maintaining the relevance and accuracy of the recommendations. But it’s also important to understand how to balance throughput with latency bounds. Therefore, a latency-bounded throughput constraint is often imposed on service-level agreements for data center application deployments.\nCost: The cost of training a model can include both computational and human resources. Cost is important when considering the practicality and feasibility of training large or complex models. Training large language models like GPT-3 is estimated to cost millions of dollars. This cost includes computational, electricity and human resources required for model development and training.\nFault Tolerance and Robustness: The ability of the training process to handle failures or errors without crashing or producing incorrect results. This is important for ensuring the reliability of the training process. Network failures or hardware malfunctions can occur in a real-world scenario where a machine-learning model is being trained on a distributed system. In recent years, it has become abundantly clear that faults arising from silent data corruption have emerged as a major issue. A fault-tolerant and robust training process can recover from such failures without compromising the model’s integrity.\nEase of Use and Flexibility: The ease with which the training process can be set up and used and its flexibility in handling different types of data and models. In companies like Google, efficiency can sometimes be measured by the number of Software Engineer (SWE) years saved since that translates directly to impact. Ease of use and flexibility can reduce the time and effort required to train a model. TensorFlow and PyTorch are popular machine-learning frameworks that provide user-friendly interfaces and flexible APIs for building and training machine-learning models. These frameworks support many model architectures and are equipped with tools that simplify the training process.\nReproducibility: The ability to reproduce the training process results. Reproducibility is important for verifying a model’s correctness and validity. However, variations due to stochastic network characteristics often make it hard to reproduce the precise behavior of applications being trained, which can present a challenge for benchmarking.\n\n\nDevlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” In Proceedings of the 2019 Conference of the North, 4171–86. Minneapolis, Minnesota: Association for Computational Linguistics. https://doi.org/10.18653/v1/n19-1423.\nBy benchmarking for these types of metrics, we can obtain a comprehensive view of the training process’s performance and efficiency from a systems perspective. This can help identify areas for improvement and ensure that resources are used effectively.\n\n\nTasks\nSelecting a handful of representative tasks for benchmarking machine learning systems is challenging because machine learning is applied to various domains with unique characteristics and requirements. Here are some of the challenges faced in selecting representative tasks:\n\nDiversity of Applications: Machine learning is used in numerous fields such as healthcare, finance, natural language processing, computer vision, and many more. Each field has specific tasks that may not be representative of other fields. For example, image classification tasks in computer vision may not be relevant to financial fraud detection.\nVariability in Data Types and Quality: Different tasks require different data types, such as text, images, videos, or numerical data. Data quality and availability can vary greatly between tasks, making it difficult to select tasks that are representative of the general challenges faced in machine learning.\nTask Complexity and Difficulty: The complexity of tasks varies greatly. Some are relatively straightforward, while others are highly complex and require sophisticated models and techniques. Selecting representative tasks that cover the complexities encountered in machine learning is challenging.\nEthical and Privacy Concerns: Some tasks may involve sensitive or private data, such as medical records or personal information. These tasks may have ethical and privacy concerns that need to be addressed, making them less suitable as representative tasks for benchmarking.\nScalability and Resource Requirements: Different tasks may have different scalability and resource requirements. Some tasks may require extensive computational resources, while others can be performed with minimal resources. Selecting tasks that represent the general resource requirements in machine learning is difficult.\nEvaluation Metrics: The metrics used to evaluate the performance of machine learning models vary between tasks. Some tasks may have well-established evaluation metrics, while others lack clear or standardized metrics. This can make it challenging to compare performance across different tasks.\nGeneralizability of Results: The results obtained from benchmarking on a specific task may not be generalizable to other tasks. This means that a machine learning system’s performance on a selected task may not be indicative of its performance on other tasks.\n\nIt is important to carefully consider these factors when designing benchmarks to ensure they are meaningful and relevant to the diverse range of tasks encountered in machine learning.\n\n\nBenchmarks\nHere are some original works that laid the fundamental groundwork for developing systematic benchmarks for training machine learning systems.\nMLPerf Training Benchmark\nMLPerf is a suite of benchmarks designed to measure the performance of machine learning hardware, software, and services. The MLPerf Training benchmark (Mattson et al. 2020a) focuses on the time it takes to train models to a target quality metric. It includes diverse workloads, such as image classification, object detection, translation, and reinforcement learning.\nMetrics:\n\nTraining time to target quality\nThroughput (examples per second)\nResource utilization (CPU, GPU, memory, disk I/O)\n\nDAWNBench\nDAWNBench (Coleman et al. 2019) is a benchmark suite focusing on end-to-end deep learning training time and inference performance. It includes common tasks such as image classification and question answering.\n\nColeman, Cody, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Chris Ré, and Matei Zaharia. 2019. “Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.” ACM SIGOPS Operating Systems Review 53 (1): 14–25. https://doi.org/10.1145/3352020.3352024.\nMetrics:\n\nTime to train to target accuracy\nInference latency\nCost (in terms of cloud computing and storage resources)\n\nFathom\nFathom (Adolf et al. 2016) is a benchmark from Harvard University that evaluates the performance of deep learning models using a diverse set of workloads. These include common tasks such as image classification, speech recognition, and language modeling.\n\nAdolf, Robert, Saketh Rama, Brandon Reagen, Gu-yeon Wei, and David Brooks. 2016. “Fathom: Reference Workloads for Modern Deep Learning Methods.” In 2016 IEEE International Symposium on Workload Characterization (IISWC), 1–10. IEEE; IEEE. https://doi.org/10.1109/iiswc.2016.7581275.\nMetrics:\n\nOperations per second (to measure computational efficiency)\nTime to completion for each workload\nMemory bandwidth\n\nExample Use Case\nConsider a scenario where we want to benchmark the training of an image classification model on a specific hardware platform.\n\nTask: The task is to train a convolutional neural network (CNN) for image classification on the CIFAR-10 dataset.\nBenchmark: We can use the MLPerf Training benchmark for this task. It includes an image classification workload that is relevant to our task.\nMetrics: We will measure the following metrics:\n\n\nTraining time to reach a target accuracy of 90%.\nThroughput in terms of images processed per second.\nGPU and CPU utilization during training.\n\nBy measuring these metrics, we can assess the performance and efficiency of the training process on the selected hardware platform. This information can then be used to identify potential bottlenecks or areas for improvement.\n\n\n\n11.4.5 Inference Benchmarks\nInference in machine learning refers to using a trained model to make predictions on new, unseen data. It is the phase where the model applies its learned knowledge to solve the problem it was designed for, such as classifying images, recognizing speech, or translating text.\n\nPurpose\nWhen we build machine learning models, our ultimate goal is to deploy them in real-world applications where they can provide accurate and reliable predictions on new, unseen data. This process of using a trained model to make predictions is known as inference. A machine learning model’s real-world performance can differ significantly from its performance on training or validation datasets, which makes benchmarking inference a crucial step in the development and deployment of machine learning models.\nBenchmarking inference allows us to evaluate how well a machine-learning model performs in real-world scenarios. This evaluation ensures that the model is practical and reliable when deployed in applications, providing a more comprehensive understanding of the model’s behavior with real data. Additionally, benchmarking can help identify potential bottlenecks or limitations in the model’s performance. For example, if a model takes less time to predict, it may be impractical for real-time applications such as autonomous driving or voice assistants.\nResource efficiency is another critical aspect of inference, as it can be computationally intensive and require significant memory and processing power. Benchmarking helps ensure that the model is efficient regarding resource usage, which is particularly important for edge devices with limited computational capabilities, such as smartphones or IoT devices. Moreover, benchmarking allows us to compare the performance of our model with competing models or previous versions of the same model. This comparison is essential for making informed decisions about which model to deploy in a specific application.\nFinally, it is vital to ensure that the model’s predictions are not only accurate but also consistent across different data points. Benchmarking helps verify the model’s accuracy and consistency, ensuring that it meets the application’s requirements. It also assesses the model’s robustness, ensuring that it can handle real-world data variability and still make accurate predictions.\n\n\nMetrics\n\nAccuracy: Accuracy is one of the most vital metrics when benchmarking machine learning models. It quantifies the proportion of correct predictions made by the model compared to the true values or labels. For example, if a spam detection model can correctly classify 95 out of 100 email messages as spam or not, its accuracy would be calculated as 95%.\nLatency: Latency is a performance metric that calculates the time lag or delay between the input receipt and the production of the corresponding output by the machine learning system. An example that clearly depicts latency is a real-time translation application; if a half-second delay exists from the moment a user inputs a sentence to the time the app displays the translated text, then the system’s latency is 0.5 seconds.\nLatency-Bounded Throughput: Latency-bounded throughput is a valuable metric that combines the aspects of latency and throughput, measuring the maximum throughput of a system while still meeting a specified latency constraint. For example, in a video streaming application that utilizes a machine learning model to generate and display subtitles automatically, latency-bounded throughput would measure how many video frames the system can process per second (throughput) while ensuring that the subtitles are displayed with no more than a 1-second delay (latency). This metric is particularly important in real-time applications where meeting latency requirements is crucial to the user experience.\nThroughput: Throughput assesses the system’s capacity by measuring the number of inferences or predictions a machine learning model can handle within a specific unit of time. Consider a speech recognition system that employs a Recurrent Neural Network (RNN) as its underlying model; if this system can process and understand 50 different audio clips in a minute, then its throughput rate stands at 50 clips per minute.\nInference Time: Inference time is a crucial metric that measures the duration a machine learning system, such as a Convolutional Neural Network (CNN) used in image recognition tasks, takes to process an input and generate a prediction or output. For instance, if a CNN takes approximately 2 milliseconds to identify and label a cat within a given photo accurately, then its inference time is said to be 2 milliseconds.\nEnergy Efficiency: Energy efficiency is a metric that determines the amount of energy consumed by the machine learning model to perform a single inference. A prime example of this would be a natural language processing model built on a Transformer network architecture; if it utilizes 0.1 Joules of energy to translate a sentence from English to French, its energy efficiency is measured at 0.1 Joules per inference.\nMemory Usage: Memory usage quantifies the volume of RAM needed by a machine learning model to carry out inference tasks. A relevant example to illustrate this would be a face recognition system based on a CNN; if such a system requires 150 MB of RAM to process and recognize faces within an image, its memory usage is 150 MB.\n\n\n\nTasks\nThe challenges in picking representative tasks for benchmarking inference machine learning systems are, by and large, somewhat similar to the taxonomy we have provided for training. Nevertheless, to be pedantic, let’s discuss those in the context of inference machine learning systems.\n\nDiversity of Applications: Inference machine learning is employed across numerous domains such as healthcare, finance, entertainment, security, and more. Each domain has unique tasks, and what’s representative in one domain might not be in another. For example, an inference task for predicting stock prices in the financial domain might differ from image recognition tasks in the medical domain.\nVariability in Data Types: Different inference tasks require different types of data—text, images, videos, numerical data, etc. Ensuring that benchmarks address the wide variety of data types used in real-world applications is challenging. For example, voice recognition systems process audio data, which is vastly different from the visual data processed by facial recognition systems.\nTask Complexity: The complexity of inference tasks can differ immensely, from basic classification tasks to intricate tasks requiring state-of-the-art models. For example, differentiating between two categories (binary classification) is typically simpler than detecting hundreds of object types in a crowded scene.\nReal-time Requirements: Some applications demand immediate or real-time responses, while others may allow for some delay. In autonomous driving, real-time object detection and decision-making are paramount, whereas a recommendation engine for a shopping website might tolerate slight delays.\nScalability Concerns: Given the varied scale of applications, from edge devices to cloud-based servers, tasks must represent the diverse computational environments where inference occurs. For example, an inference task running on a smartphone’s limited resources differs from a powerful cloud server.\nEvaluation Metrics Diversity: The metrics used to evaluate performance can differ significantly depending on the task. Finding a common ground or universally accepted metric for diverse tasks is challenging. For example, precision and recall might be vital for a medical diagnosis task, whereas throughput (inferences per second) might be more crucial for video processing tasks.\nEthical and Privacy Concerns: Concerns related to ethics and privacy exist, especially in sensitive areas like facial recognition or personal data processing. These concerns can impact the selection and nature of tasks used for benchmarking. For example, using real-world facial data for benchmarking can raise privacy issues, whereas synthetic data might not replicate real-world challenges.\nHardware Diversity: With a wide range of devices from GPUs, CPUs, and TPUs to custom ASICs used for inference, ensuring that tasks are representative across varied hardware is challenging. For example, a task optimized for inference on a GPU might perform sub-optimally on an edge device.\n\n\n\nBenchmarks\nHere are some original works that laid the fundamental groundwork for developing systematic benchmarks for inference machine learning systems.\nMLPerf Inference Benchmark\nMLPerf Inference is a comprehensive benchmark suite that assesses machine learning models’ performance during the inference phase. It encompasses a variety of workloads, including image classification, object detection, and natural language processing, aiming to provide standardized and insightful metrics for evaluating different inference systems.\nMetrics:\n\nInference time\nLatency\nThroughput\nAccuracy\nEnergy consumption\n\nAI Benchmark\nAI Benchmark is a benchmarking tool that evaluates the performance of AI and machine learning models on mobile devices and edge computing platforms. It includes tests for image classification, object detection, and natural language processing tasks, providing a detailed analysis of the inference performance on different hardware platforms.\nMetrics:\n\nInference time\nLatency\nEnergy consumption\nMemory usage\nThroughput\n\nOpenVINO toolkit\nOpenVINO toolkit provides a benchmark tool to measure the performance of deep learning models for various tasks, such as image classification, object detection, and facial recognition, on Intel hardware. It offers detailed insights into the models’ inference performance on different hardware configurations.\nMetrics:\n\nInference time\nThroughput\nLatency\nCPU and GPU utilization\n\nExample Use Case\nConsider a scenario where we want to evaluate the inference performance of an object detection model on a specific edge device.\nTask: The task is to perform real-time object detection on video streams, detecting and identifying objects such as vehicles, pedestrians, and traffic signs.\nBenchmark: We can use the AI Benchmark for this task as it evaluates inference performance on edge devices, which suits our scenario.\nMetrics: We will measure the following metrics:\n\nInference time to process each video frame\nLatency to generate the bounding boxes for detected objects\nEnergy consumption during the inference process\nThroughput in terms of video frames processed per second\n\nBy measuring these metrics, we can assess the performance of the object detection model on the edge device and identify any potential bottlenecks or areas for optimization to enhance real-time processing capabilities.\n\n\n\n\n\n\nExercise 11.2: Inference Benchmarks - MLPerf\n\n\n\n\n\nGet ready to put your AI models to the ultimate test! MLPerf is like the Olympics for machine learning performance. In this Colab, we’ll use a toolkit called CK to run official MLPerf benchmarks, measure how fast and accurate your model is, and even use TVM to give it a super speed boost. Are you ready to see your model earn its medal?\n\n\n\n\n\n\n\n11.4.6 Benchmark Example\nTo properly illustrate the components of a systems benchmark, we can look at the keyword spotting benchmark in MLPerf Tiny and explain the motivation behind each decision.\n\nTask\nKeyword spotting was selected as a task because it is a common use case in TinyML that has been well-established for years. Additionally, the typical hardware used for keyword spotting differs substantially from the offerings of other benchmarks, such as MLPerf Inference’s speech recognition task.\n\n\nDataset\nGoogle Speech Commands(Warden (2018)) was selected as the best dataset to represent the task. The dataset is well-established in the research community and has permissive licensing, allowing it to be easily used in a benchmark.\n\nWarden, Pete. 2018. “Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.” ArXiv Preprint abs/1804.03209. https://arxiv.org/abs/1804.03209.\n\n\nModel\nThe next core component is the model, which will act as the primary workload for the benchmark. The model should be well established as a solution to the selected task rather than a state-of-the-art solution. The model selected is a simple depthwise separable convolution model. This architecture is not the state-of-the-art solution to the task, but it is well-established and not designed for a specific hardware platform like many state-of-the-art solutions. Despite being an inference benchmark, the benchmark also establishes a reference training recipe to be fully reproducible and transparent.\n\n\nMetrics\nLatency was selected as the primary metric for the benchmark, as keyword spotting systems need to react quickly to maintain user satisfaction. Additionally, given that TinyML systems are often battery-powered, energy consumption is measured to ensure the hardware platform is efficient. The accuracy of the model is also measured to ensure that the optimizations applied by a submitter, such as quantization, don’t degrade the accuracy beyond a threshold.\n\n\nBenchmark Harness\nMLPerf Tiny uses EEMBCs EnergyRunner benchmark harness to load the inputs to the model and isolate and measure the device’s energy consumption. When measuring energy consumption, it’s critical to select a harness that is accurate at the expected power levels of the devices under test and simple enough not to become a burden for the benchmark participants.\n\n\nBaseline Submission\nBaseline submissions are critical for contextualizing results and as a reference point to help participants get started. The baseline submission should prioritize simplicity and readability over state-of-the-art performance. The keyword spotting baseline uses a standard STM microcontroller as its hardware and TensorFlow Lite for Microcontrollers (David et al. (2021)) as its inference framework.\n\nDavid, Robert, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, et al. 2021. “Tensorflow Lite Micro: Embedded Machine Learning for Tinyml Systems.” Proceedings of Machine Learning and Systems 3: 800–811.\n\n\n\n11.4.7 Challenges and Limitations\nWhile benchmarking provides a structured methodology for performance evaluation in complex domains like artificial intelligence and computing, the process also poses several challenges. If not properly addressed, these challenges can undermine the credibility and accuracy of benchmarking results. Some of the predominant difficulties faced in benchmarking include the following:\n\nIncomplete problem coverage—Benchmark tasks may not fully represent the problem space. For instance, common image classification datasets like CIFAR-10 have limited diversity in image types. Algorithms tuned for such benchmarks may fail to generalize well to real-world datasets.\nStatistical insignificance - Benchmarks must have enough trials and data samples to produce statistically significant results. For example, benchmarking an OCR model on only a few text scans may not adequately capture its true error rates.\nLimited reproducibility—Varying hardware, software versions, codebases, and other factors can reduce the reproducibility of benchmark results. MLPerf addresses this by providing reference implementations and environment specifications.\nMisalignment with end goals - Benchmarks focusing only on speed or accuracy metrics may misalign real-world objectives like cost and power efficiency. Benchmarks must reflect all critical performance axes.\nRapid staleness—Due to the rapid pace of advancements in AI and computing, benchmarks and their datasets can quickly become outdated. Maintaining up-to-date benchmarks is thus a persistent challenge.\n\nBut of all these, the most important challenge is benchmark engineering.\n\nHardware Lottery\nThe “hardware lottery” in benchmarking machine learning systems refers to the situation where the success or efficiency of a machine learning model is significantly influenced by the compatibility of the model with the underlying hardware (Chu et al. 2021). In other words, some models perform exceptionally well because they are a good fit for the particular characteristics or capabilities of the hardware they are run on rather than because they are intrinsically superior models. Figure 11.2 demonstrates the performance of different models on different hardware: notice how (follow the big yellow arrow) the Mobilenet V3 Large model (in green) has the lowest latency among all models when run unquantized on the Pixel4 CPU. At the same time, it performs the worst on Pixel4 DSP Qualcomm Snapdragon 855. Unfortunately, the hardware used is often omitted from papers or only briefly mentioned, making reproducing results difficult, if possible.\n\nChu, Grace, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, and Andrew Howard. 2021. “Discovering Multi-Hardware Mobile Models via Architecture Search.” In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 3022–31. IEEE. https://doi.org/10.1109/cvprw53098.2021.00337.\n\n\n\n\n\n\nFigure 11.2: Hardware Lottery.\n\n\n\nFor instance, certain machine learning models may be designed and optimized to take advantage of the parallel processing capabilities of specific hardware accelerators, such as Graphics Processing Units (GPUs) or Tensor Processing Units (TPUs). As a result, these models might show superior performance when benchmarked on such hardware compared to other models that are not optimized for the hardware.\nFor example, a 2018 paper introduced a new convolutional neural network architecture for image classification that achieved state-of-the-art accuracy on ImageNet. However, the paper only mentioned that the model was trained on 8 GPUs without specifying the model, memory size, or other relevant details. A follow-up study tried to reproduce the results but found that training the same model on commonly available GPUs achieved 10% lower accuracy, even after hyperparameter tuning. The original hardware likely had far higher memory bandwidth and compute power. As another example, training times for large language models can vary drastically based on the GPUs used.\nThe “hardware lottery” can introduce challenges and biases in benchmarking machine learning systems, as the model’s performance is not solely dependent on the model’s architecture or algorithm but also on the compatibility and synergies with the underlying hardware. This can make it difficult to compare different models fairly and to identify the best model based on its intrinsic merits. It can also lead to a situation where the community converges on models that are a good fit for the popular hardware of the day, potentially overlooking other models that might be superior but incompatible with the current hardware trends.\n\n\nBenchmark Engineering\nHardware lottery occurs when a machine learning model unintentionally performs exceptionally well or poorly on a specific hardware setup due to unforeseen compatibility or incompatibility. The model is not explicitly designed or optimized for that particular hardware by the developers or engineers; rather, it happens to align or (mis)align with the hardware’s capabilities or limitations. In this case, the model’s performance on the hardware is a byproduct of coincidence rather than design.\nIn contrast to the accidental hardware lottery, benchmark engineering involves deliberately optimizing or designing a machine learning model to perform exceptionally well on specific hardware, often to win benchmarks or competitions. This intentional optimization might include tweaking the model’s architecture, algorithms, or parameters to exploit the hardware’s features and capabilities fully.\n\n\nProblem\nBenchmark engineering refers to tweaking or modifying an AI system to optimize performance on specific benchmark tests, often at the expense of generalizability or real-world performance. This can include adjusting hyperparameters, training data, or other aspects of the system specifically to achieve high scores on benchmark metrics without necessarily improving the overall functionality or utility of the system.\nThe motivation behind benchmark engineering often stems from the desire to achieve high-performance scores for marketing or competitive purposes. High benchmark scores can demonstrate the superiority of an AI system compared to competitors and can be a key selling point for potential users or investors. This pressure to perform well on benchmarks sometimes leads to prioritizing benchmark-specific optimizations over more holistic improvements to the system.\nIt can lead to several risks and challenges. One of the primary risks is that the AI system may perform better in real-world applications than the benchmark scores suggest. This can lead to user dissatisfaction, reputational damage, and potential safety or ethical concerns. Furthermore, benchmark engineering can contribute to a lack of transparency and accountability in the AI community, as it can be difficult to discern how much of an AI system’s performance is due to genuine improvements versus benchmark-specific optimizations.\nThe AI community must prioritize transparency and accountability to mitigate the risks associated with benchmark engineering. This can include disclosing any optimizations or adjustments made specifically for benchmark tests and providing more comprehensive evaluations of AI systems that include real-world performance metrics and benchmark scores. Researchers and developers must prioritize holistic improvements to AI systems that improve their generalizability and functionality across various applications rather than focusing solely on benchmark-specific optimizations.\n\n\nIssues\nOne of the primary problems with benchmark engineering is that it can compromise the real-world performance of AI systems. When developers focus on optimizing their systems to achieve high scores on specific benchmark tests, they may neglect other important system performance aspects crucial in real-world applications. For example, an AI system designed for image recognition might be engineered to perform exceptionally well on a benchmark test that includes a specific set of images but needs help to recognize images slightly different from those in the test set accurately.\nAnother area for improvement with benchmark engineering is that it can result in AI systems that lack generalizability. In other words, while the system may perform well on the benchmark test, it may need help handling a diverse range of inputs or scenarios. For instance, an AI model developed for natural language processing might be engineered to achieve high scores on a benchmark test that includes a specific type of text but fails to process text that falls outside of that specific type accurately.\nIt can also lead to misleading results. When AI systems are engineered to perform well on benchmark tests, the results may not accurately reflect the system’s true capabilities. This can be problematic for users or investors who rely on benchmark scores to make informed decisions about which AI systems to use or invest in. For example, an AI system engineered to achieve high scores on a benchmark test for speech recognition might need to be more capable of accurately recognizing speech in real-world situations, leading users or investors to make decisions based on inaccurate information.\n\n\nMitigation\nThere are several ways to mitigate benchmark engineering. Transparency in the benchmarking process is crucial to maintaining benchmark accuracy and reliability. This involves clearly disclosing the methodologies, data sets, and evaluation criteria used in benchmark tests, as well as any optimizations or adjustments made to the AI system for the purpose of the benchmark.\nOne way to achieve transparency is through the use of open-source benchmarks. Open-source benchmarks are made publicly available, allowing researchers, developers, and other stakeholders to review, critique, and contribute to them, thereby ensuring their accuracy and reliability. This collaborative approach also facilitates sharing best practices and developing more robust and comprehensive benchmarks.\nOne example is the MLPerf Tiny. It’s an open-source framework designed to make it easy to compare different solutions in the world of TinyML. Its modular design allows components to be swapped out for comparison or improvement. The reference implementations, shown in green and orange in Figure 11.3, act as the baseline for results. TinyML often needs optimization across the entire system, and users can contribute by focusing on specific parts, like quantization. The modular benchmark design allows users to showcase their contributions and competitive advantage by modifying a reference implementation. In short, MLPerf Tiny offers a flexible and modular way to assess and enhance TinyML applications, making it easier to compare and improve different aspects of the technology.\n\n\n\n\n\n\nFigure 11.3: MLPerf Tiny modular design. Credit: Mattson et al. (2020a).\n\n\n———, et al. 2020a. “MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance.” IEEE Micro 40 (2): 8–16. https://doi.org/10.1109/mm.2020.2974843.\n\n\nAnother method for achieving transparency is through peer review of benchmarks. This involves having independent experts review and validate the benchmark’s methodology, data sets, and results to ensure their credibility and reliability. Peer review can provide a valuable means of verifying the accuracy of benchmark tests and help build confidence in the results.\nStandardization of benchmarks is another important solution to mitigate benchmark engineering. Standardized benchmarks provide a common framework for evaluating AI systems, ensuring consistency and comparability across different systems and applications. This can be achieved by developing industry-wide standards and best practices for benchmarking and through common metrics and evaluation criteria.\nThird-party verification of results can also be valuable in mitigating benchmark engineering. This involves having an independent third party verify the results of a benchmark test to ensure their credibility and reliability. Third-party verification can build confidence in the results and provide a valuable means of validating the performance and capabilities of AI systems.", + "text": "11.4 System Benchmarking\n\n11.4.1 Granularity\nMachine learning system benchmarking provides a structured and systematic approach to assessing a system’s performance across various dimensions. Given the complexity of ML systems, we can dissect their performance through different levels of granularity and obtain a comprehensive view of the system’s efficiency, identify potential bottlenecks, and pinpoint areas for improvement. To this end, various types of benchmarks have evolved over the years and continue to persist.\nFigure 11.2 illustrates the different layers of granularity of an ML system. At the application level, end-to-end benchmarks assess the overall system performance, considering factors like data preprocessing, model training, and inference. While at the model layer, benchmarks focus on assessing the efficiency and accuracy of specific models. This includes evaluating how well models generalize to new data and their computational efficiency during training and inference. Furthermore, benchmarking can extend to hardware and software infrastructure, examining the performance of individual components like GPUs or TPUs.\n\n\n\n\n\n\nFigure 11.2: ML system granularity.\n\n\n\n\nMicro Benchmarks\nMicro-benchmarks in AI are specialized, evaluating distinct components or specific operations within a broader machine learning process. These benchmarks zero in on individual tasks, offering insights into the computational demands of a particular neural network layer, the efficiency of a unique optimization technique, or the throughput of a specific activation function. For instance, practitioners might use micro-benchmarks to measure the computational time required by a convolutional layer in a deep learning model or to evaluate the speed of data preprocessing that feeds data into the model. Such granular assessments are instrumental in fine-tuning and optimizing discrete aspects of AI models, ensuring that each component operates at its peak potential.\nThese types of microbenchmarks include zooming into very specific operations or components of the AI pipeline, such as the following:\n\nTensor Operations: Libraries like cuDNN (by NVIDIA) often have benchmarks to measure the performance of individual tensor operations, such as convolutions or matrix multiplications, which are foundational to deep learning computations.\nActivation Functions: Benchmarks that measure the speed and efficiency of various activation functions like ReLU, Sigmoid, or Tanh in isolation.\nLayer Benchmarks: Evaluations of the computational efficiency of distinct neural network layers, such as LSTM or Transformer blocks, when operating on standardized input sizes.\n\nExample: DeepBench, introduced by Baidu, is a good example of something that assesses the above. DeepBench assesses the performance of basic operations in deep learning models, providing insights into how different hardware platforms handle neural network training and inference.\n\n\n\n\n\n\nExercise 11.1: System Benchmarking - Tensor Operations\n\n\n\n\n\nEver wonder how your image filters get so fast? Special libraries like cuDNN supercharge those calculations on certain hardware. In this Colab, we’ll use cuDNN with PyTorch to speed up image filtering. Think of it as a tiny benchmark, showing how the right software can unlock your GPU’s power!\n\n\n\n\n\n\nMacro Benchmarks\nMacro benchmarks provide a holistic view, assessing the end-to-end performance of entire machine learning models or comprehensive AI systems. Rather than focusing on individual operations, macro-benchmarks evaluate the collective efficacy of models under real-world scenarios or tasks. For example, a macro-benchmark might assess the complete performance of a deep learning model undertaking image classification on a dataset like ImageNet. This includes gauging accuracy, computational speed, and resource consumption. Similarly, one might measure the cumulative time and resources needed to train a natural language processing model on extensive text corpora or evaluate the performance of an entire recommendation system, from data ingestion to final user-specific outputs.\nExamples: These benchmarks evaluate the AI model:\n\nMLPerf Inference (Reddi et al. 2020): An industry-standard set of benchmarks for measuring the performance of machine learning software and hardware. MLPerf has a suite of dedicated benchmarks for specific scales, such as MLPerf Mobile for mobile class devices and MLPerf Tiny, which focuses on microcontrollers and other resource-constrained devices.\nEEMBC’s MLMark: A benchmarking suite for evaluating the performance and power efficiency of embedded devices running machine learning workloads. This benchmark provides insights into how different hardware platforms handle tasks like image recognition or audio processing.\nAI-Benchmark (Ignatov et al. 2019): A benchmarking tool designed for Android devices, it evaluates the performance of AI tasks on mobile devices, encompassing various real-world scenarios like image recognition, face parsing, and optical character recognition.\n\n\nReddi, Vijay Janapa, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, et al. 2020. “MLPerf Inference Benchmark.” In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 446–59. IEEE; IEEE. https://doi.org/10.1109/isca45697.2020.00045.\n\nIgnatov, Andrey, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, and Luc Van Gool. 2019. “AI Benchmark: All about Deep Learning on Smartphones in 2019.” In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 0–0. IEEE. https://doi.org/10.1109/iccvw.2019.00447.\n\n\nEnd-to-end Benchmarks\nEnd-to-end benchmarks provide an all-inclusive evaluation that extends beyond the boundaries of the AI model itself. Instead of focusing solely on a machine learning model’s computational efficiency or accuracy, these benchmarks encompass the entire pipeline of an AI system. This includes initial data preprocessing, the core model’s performance, post-processing of the model’s outputs, and other integral components like storage and network interactions.\nData preprocessing is the first stage in many AI systems, transforming raw data into a format suitable for model training or inference. These preprocessing steps’ efficiency, scalability, and accuracy are vital for the overall system’s performance. End-to-end benchmarks assess this phase, ensuring that data cleaning, normalization, augmentation, or any other transformation process doesn’t become a bottleneck.\nThe post-processing phase also takes center stage. This involves interpreting the model’s raw outputs, possibly converting scores into meaningful categories, filtering results, or even integrating with other systems. In real-world applications, this phase is crucial for delivering actionable insights, and end-to-end benchmarks ensure it’s both efficient and effective.\nBeyond the core AI operations, other system components are important in the overall performance and user experience. Storage solutions, whether cloud-based, on-premises, or hybrid, can significantly impact data retrieval and storage times, especially with vast AI datasets. Similarly, network interactions, vital for cloud-based AI solutions or distributed systems, can become performance bottlenecks if not optimized. End-to-end benchmarks holistically evaluate these components, ensuring that the entire system operates seamlessly, from data retrieval to final output delivery.\nTo date, there are no public, end-to-end benchmarks that take into account the role of data storage, network, and compute performance. Arguably, MLPerf Training and Inference come close to the idea of an end-to-end benchmark, but they are exclusively focused on ML model performance and do not represent real-world deployment scenarios of how models are used in the field. Nonetheless, they provide a very useful signal that helps assess AI system performance.\nGiven the inherent specificity of end-to-end benchmarking, it is typically performed internally at a company by instrumenting real production deployments of AI. This allows engineers to have a realistic understanding and breakdown of the performance, but given the sensitivity and specificity of the information, it is rarely reported outside of the company.\n\n\nUnderstanding the Trade-offs\nDifferent issues arise at different stages of an AI system. Micro-benchmarks help fine-tune individual components, macro-benchmarks aid in refining model architectures or algorithms, and end-to-end benchmarks guide the optimization of the entire workflow. By understanding where a problem lies, developers can apply targeted optimizations.\nMoreover, while individual components of an AI system might perform optimally in isolation, bottlenecks can emerge when they interact. End-to-end benchmarks, in particular, are crucial to ensure that the entire system, when operating collectively, meets desired performance and efficiency standards.\nFinally, organizations can make informed decisions on where to allocate resources by discerning performance bottlenecks or inefficiencies. For instance, if micro-benchmarks reveal inefficiencies in specific tensor operations, investments can be directed toward specialized hardware accelerators. Conversely, if end-to-end benchmarks indicate data retrieval issues, investments might be channeled toward better storage solutions.\n\n\n\n11.4.2 Benchmark Components\nAt its core, an AI benchmark is more than just a test or a score; it’s a comprehensive evaluation framework. To understand this in-depth, let’s break down the typical components that go into an AI benchmark.\n\nTask & Datasets\nDatasets serve as the foundation for most AI benchmarks and specify the task that the model aims to achieve. They provide a consistent data set on which models are trained and evaluated, ensuring a level playing field for comparisons. When selecting the tasks in a benchmark, you must account for the task diversity. For example, the selected tasks should span various data types, levels of complexity, and scale in order to appropriately represent the wide range of possible applications. Additionally, one must consider the availability of a suitable dataset and the relevance of the task to meaningful real-world applications. ImageNet is an example of a large-scale dataset containing millions of labeled images spanning thousands of categories, is a popular benchmarking standard for image classification tasks (Deng et al. 2009).\n\nDeng, Jia, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. “Imagenet: A Large-Scale Hierarchical Image Database.” In 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–55. Ieee.\n\n\nEvaluation Metrics\nOnce a task is defined, benchmarks require metrics to quantify performance. These metrics offer objective measures to compare different models or systems. In classification tasks, metrics like accuracy, precision, recall, and F1 score are commonly used. Mean squared or absolute errors might be employed for regression tasks.\n\n\nBaselines\nBenchmarks often include baseline models or reference implementations. These serve as starting points or minimum performance standards against which new models or techniques can be compared. In many benchmark suites, simple models like linear regression or basic neural networks serve as baselines to provide context for more complex model evaluations.\n\n\nHardware and Software Specifications\nGiven the variability introduced by different hardware and software configurations, benchmarks often specify or document the hardware and software environments in which tests are conducted. An AI benchmark might note that evaluations were conducted on an NVIDIA Tesla V100 GPU using TensorFlow v2.4.\nThese components form the basis of a benchmark, but successful benchmarks go beyond the core components. To have interpretable and reproducible results, you often need to control for environmental conditions (e.g., temperature) and specify how the results should be interpreted and compared (e.g., latency per joule). These specifications are commonly referred to as “run rules.” For example, in mobile AI benchmarks, the run rules might specify that the tests should be conducted at room temperature with devices plugged into a power source to eliminate battery-level variances.\n\n\n\n11.4.3 Training vs. Inference\nThe development life cycle of a machine learning model involves two critical phases - training and inference. Training is the process of learning patterns from data to create the model. Inference refers to the model making predictions on new unlabeled data. These distinct phases often have different hardware requirements, and therefore, ML systems designed for training and inference can vary substantially.\nBenchmarking the training phase typically measures the time and resources needed to train the model, and can demonstrate the degree to which hardware accelerators like GPUs and TPUs speed up training.\nOn the other hand, benchmarking inference evaluates model performance in real-world conditions after deployment. Key metrics include latency, throughput, memory footprint, and power consumption. Inference benchmarking determines if a model meets the requirements of its target application regarding response time and device constraints, which is typically the focus of TinyML. However, we will discuss these broadly to ensure a general understanding.\n\n\n11.4.4 Training Benchmarks\nTraining represents the phase where the system processes and ingests raw data to adjust and refine its parameters. Therefore, it is an algorithmic activity and involves system-level considerations, including data pipelines, storage, computing resources, and orchestration mechanisms. The goal is to ensure that the ML system can efficiently learn from data, optimizing both the model’s performance and the system’s resource utilization.\n\nPurpose\nFrom an ML systems perspective, training benchmarks evaluate how well the system scales with increasing data volumes and computational demands. It’s about understanding the interplay between hardware, software, and the data pipeline in the training process.\nConsider a distributed ML system designed to train on vast datasets, like those used in large-scale e-commerce product recommendations. A training benchmark would assess how efficiently the system scales across multiple nodes, manage data sharding and handle failures or node drop-offs during training.\nTraining benchmarks evaluate CPU, GPU, memory, and network utilization during the training phase, guiding system optimizations. When training a model in a cloud-based ML system, it’s crucial to understand how resources are being utilized. Are GPUs being fully leveraged? Is there unnecessary memory overhead? Benchmarks can highlight bottlenecks or inefficiencies in resource utilization, leading to cost savings and performance improvements.\nTraining an ML model is contingent on timely and efficient data delivery. Benchmarks in this context would also assess the efficiency of data pipelines, data preprocessing speed, and storage retrieval times. For real-time analytics systems, like those used in fraud detection, the speed at which training data is ingested, preprocessed, and fed into the model can be critical. Benchmarks would evaluate the latency of data pipelines, the efficiency of storage systems (like SSDs vs. HDDs), and the speed of data augmentation or transformation tasks.\n\n\nMetrics\nWhen viewed from a systems perspective, training metrics offer insights that transcend conventional algorithmic performance indicators. These metrics measure the model’s learning efficacy and gauge the efficiency, scalability, and robustness of the entire ML system during the training phase. Let’s dig into these metrics and their significance.\nThe following metrics are often considered important:\n\nTraining Time: The time it takes to train a model from scratch until it reaches a satisfactory performance level. It directly measures the computational resources required to train a model. For example, Google’s BERT(Devlin et al. (2019)) is a natural language processing model that requires several days to train on a massive corpus of text data using multiple GPUs. The long training time is a significant resource consumption and cost challenge. In some cases, benchmarks can instead measure the training throughput (training samples per unit of time). Throughput can be calculated much faster and easier than training time but may obscure the metrics we really care about (e.g. time to train).\nScalability: How well the training process can handle increases in data size or model complexity. Scalability can be assessed by measuring training time, memory usage, and other resource consumption as data size or model complexity increases. OpenAI’s GPT-3(Brown et al. (2020)) model has 175 billion parameters, making it one of the largest language models in existence. Training GPT-3 required extensive engineering efforts to scale the training process to handle the massive model size. This involved using specialized hardware, distributed training, and other techniques to ensure the model could be trained efficiently.\nResource Utilization: The extent to which the training process utilizes available computational resources such as CPU, GPU, memory, and disk I/O. High resource utilization can indicate an efficient training process, while low utilization can suggest bottlenecks or inefficiencies. For instance, training a convolutional neural network (CNN) for image classification requires significant GPU resources. Utilizing multi-GPU setups and optimizing the training code for GPU acceleration can greatly improve resource utilization and training efficiency.\nEnergy Consumption: The energy consumed during training. As machine learning models become more complex, energy consumption has become an important consideration. Training large machine learning models can consume significant energy, leading to a large carbon footprint. For instance, the training of OpenAI’s GPT-3 was estimated to have a carbon footprint equivalent to traveling by car for 700,000 kilometers.\nCost: The cost of training a model can include both computational and human resources. Cost is important when considering the practicality and feasibility of training large or complex models. Training large language models like GPT-3 is estimated to cost millions of dollars. This cost includes computational, electricity, and human resources required for model development and training.\nFault Tolerance and Robustness: The ability of the training process to handle failures or errors without crashing or producing incorrect results. This is important for ensuring the reliability of the training process. Network failures or hardware malfunctions can occur in a real-world scenario where a machine-learning model is being trained on a distributed system. In recent years, it has become abundantly clear that faults arising from silent data corruption have emerged as a major issue. A fault-tolerant and robust training process can recover from such failures without compromising the model’s integrity.\n\n\nDevlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” In Proceedings of the 2019 Conference of the North, 4171–86. Minneapolis, Minnesota: Association for Computational Linguistics. https://doi.org/10.18653/v1/n19-1423.\nBy benchmarking for these types of metrics, we can obtain a comprehensive view of the training process’s performance and efficiency from a systems perspective. This can help identify areas for improvement and ensure that resources are used effectively.\n\n\nBenchmarks\nHere are some original works that laid the fundamental groundwork for developing systematic benchmarks for training machine learning systems.\nDAWNBench: DAWNBench (Coleman et al. 2019) was the first benchmark suite focusing on end-to-end deep learning training time, and subsequently inference performance. It include common tasks such as image classification and question answering. It’s metrics include:\n\nColeman, Cody, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Chris Ré, and Matei Zaharia. 2019. “Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.” ACM SIGOPS Operating Systems Review 53 (1): 14–25. https://doi.org/10.1145/3352020.3352024.\n\nTime to train to target accuracy\nInference latency\nCost (in terms of cloud computing and storage resources)\n\nFathom: Fathom (Adolf et al. 2016) was one of the first benchmarks (from Harvard University) to evaluate the performance of deep learning models using a diverse set of workloads. These include common tasks such as image classification, speech recognition, and language modeling. It’s metrics include:\n\nAdolf, Robert, Saketh Rama, Brandon Reagen, Gu-yeon Wei, and David Brooks. 2016. “Fathom: Reference Workloads for Modern Deep Learning Methods.” In 2016 IEEE International Symposium on Workload Characterization (IISWC), 1–10. IEEE; IEEE. https://doi.org/10.1109/iiswc.2016.7581275.\n\nOperations per second (to measure computational efficiency)\nTime to completion for each workload\nMemory bandwidth\n\nMLPerf Training Benchmark: MLPerf is a suite of benchmarks that grew out of DAWNBench and Fathom and other collective works such as DeepBench that was designed to measure the performance of machine learning hardware, software, and services. The MLPerf Training benchmark (Mattson et al. 2020a) focuses on the time it takes to train models to a target quality metric. It includes diverse workloads, such as image classification, object detection, translation, and reinforcement learning. It’s metrics include:\n\n———, et al. 2020a. “MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance.” IEEE Micro 40 (2): 8–16. https://doi.org/10.1109/mm.2020.2974843.\n\nTraining time to target quality\nThroughput (examples per second)\nResource utilization (CPU, GPU, memory, disk I/O)\n\n\nExample Use Case\nConsider a scenario where we want to benchmark the training of an image classification model on a specific hardware platform.\n\nTask: The task is to train a convolutional neural network (CNN) for image classification on the CIFAR-10 dataset.\nBenchmark: We can use the MLPerf Training benchmark for this task. It includes an image classification workload that is relevant to our task.\nMetrics: We will measure the following metrics:\n\n\nTraining time to reach a target accuracy of 90%.\nThroughput in terms of images processed per second.\nGPU and CPU utilization during training.\n\nBy measuring these metrics, we can assess the performance and efficiency of the training process on the selected hardware platform. This information can then be used to identify potential bottlenecks or areas for improvement.\n\n\n\n\n11.4.5 Inference Benchmarks\nInference in machine learning refers to using a trained model to make predictions on new, unseen data. It is the phase where the model applies its learned knowledge to solve the problem it was designed for, such as classifying images, recognizing speech, or translating text.\n\nPurpose\nWhen we build machine learning models, our ultimate goal is to deploy them in real-world applications where they can provide accurate and reliable predictions on new, unseen data. This process of using a trained model to make predictions is known as inference. A machine learning model’s real-world performance can differ significantly from its performance on training or validation datasets, which makes benchmarking inference a crucial step in the development and deployment of machine learning models.\nBenchmarking inference allows us to evaluate how well a machine-learning model performs in real-world scenarios. This evaluation ensures that the model is practical and reliable when deployed in applications, providing a more comprehensive understanding of the model’s behavior with real data. Additionally, benchmarking can help identify potential bottlenecks or limitations in the model’s performance. For example, if a model takes less time to predict, it may be impractical for real-time applications such as autonomous driving or voice assistants.\nResource efficiency is another critical aspect of inference, as it can be computationally intensive and require significant memory and processing power. Benchmarking helps ensure that the model is efficient regarding resource usage, which is particularly important for edge devices with limited computational capabilities, such as smartphones or IoT devices. Moreover, benchmarking allows us to compare the performance of our model with competing models or previous versions of the same model. This comparison is essential for making informed decisions about which model to deploy in a specific application.\nFinally, it is vital to ensure that the model’s predictions are not only accurate but also consistent across different data points. Benchmarking helps verify the model’s accuracy and consistency, ensuring that it meets the application’s requirements. It also assesses the model’s robustness, ensuring that it can handle real-world data variability and still make accurate predictions.\n\n\nMetrics\n\nAccuracy: Accuracy is one of the most vital metrics when benchmarking machine learning models. It quantifies the proportion of correct predictions made by the model compared to the true values or labels. For example, if a spam detection model can correctly classify 95 out of 100 email messages as spam or not, its accuracy would be calculated as 95%.\nLatency or Throughput: The appropriate performance metric depends on the task. Latency is a performance metric that calculates the time lag or delay between the input receipt and the production of the corresponding output by the machine learning system. An example that clearly depicts latency is a real-time translation application; if a half-second delay exists from the moment a user inputs a sentence to the time the app displays the translated text, then the system’s latency is 0.5 seconds.\nIn many cases, the throughput is more important.Throughput assesses the system’s capacity by measuring the number of inferences or predictions a machine learning model can handle within a specific unit of time. Consider a speech recognition system that employs a Recurrent Neural Network (RNN) as its underlying model; if this system can process and understand 50 different audio clips in a minute, then its throughput rate stands at 50 clips per minute.\nIn some cases, you care about both metrics and measure latency-bounded throughput, which measures the maximum throughput of a system while still meeting a specified latency constraint.\nEnergy Efficiency: Energy efficiency is a metric that determines the amount of energy consumed by the machine learning model to perform a single inference. A prime example of this would be a natural language processing model built on a Transformer network architecture; if it utilizes 0.1 Joules of energy to translate a sentence from English to French, its energy efficiency is measured at 0.1 Joules per inference.\n\nOther inference considerations, such as memory consumption, are typically constraints rather than directly benchmarked metrics. For example, if a system does not have enough memory to fit the model onto the device then it can’t run the model and produce a result. In some cases, one can use compression techniques to make the model fit, such as quantization, but any negative impact of those techniques are captured in the accuracy metric.\n\n\nBenchmarks\nHere are some original works that laid the fundamental groundwork for developing systematic benchmarks for inference machine learning systems.\nMLPerf Inference Benchmark: MLPerf Inference is a comprehensive benchmark suite that assesses machine learning models’ performance during the inference phase. It encompasses a variety of workloads, including image classification, object detection, and natural language processing, aiming to provide standardized and insightful metrics for evaluating different inference systems. It’s metrics include:\n\nInference time\nLatency and/or throughput\nAccuracy\nEnergy consumption\n\nAI Benchmark: AI Benchmark is a benchmarking tool that evaluates the performance of AI and machine learning models on mobile devices and edge computing platforms. It includes tests for image classification, object detection, and natural language processing tasks, providing a detailed analysis of the inference performance on different hardware platforms. It’s metrics include:\n\nInference time\nLatency\nEnergy consumption\nMemory usage\nThroughput\n\nOpenVINO toolkit: OpenVINO toolkit provides a benchmark tool to measure the performance of deep learning models for various tasks, such as image classification, object detection, and facial recognition, on Intel hardware. It offers detailed insights into the models’ inference performance on different hardware configurations. It’s metrics include:\n\nInference time\nThroughput\nLatency\nCPU and GPU utilization\n\n\n\nExample Use Case\nConsider a scenario where we want to evaluate the inference performance of an object detection model on a specific edge device. The task is to perform real-time object detection on video streams, detecting and identifying objects such as vehicles, pedestrians, and traffic signs. We can use the AI Benchmark for this task as it evaluates inference performance on edge devices, which suits our scenario. We will measure the following metrics:\n\nInference time to process each video frame\nLatency to generate the bounding boxes for detected objects\nEnergy consumption during the inference process\nThroughput in terms of video frames processed per second\n\nBy measuring these metrics, we can assess the performance of the object detection model on the edge device and identify any potential bottlenecks or areas for optimization to enhance real-time processing capabilities.\n\n\n\n\n\n\nExercise 11.2: Inference Benchmarks - MLPerf\n\n\n\n\n\nGet ready to put your AI models to the ultimate test! MLPerf is like the Olympics for machine learning performance. In this Colab, we’ll use a toolkit called CK to run official MLPerf benchmarks, measure how fast and accurate your model is, and even use TVM to give it a super speed boost. Are you ready to see your model earn its medal?\n\n\n\n\n\n\n\n11.4.6 Benchmark Example\nTo properly illustrate the components of a systems benchmark, we can look at the keyword spotting benchmark in MLPerf Tiny and explain the motivation behind each decision.\n\nTask\nKeyword spotting was selected as a task because it is a common use case in TinyML that has been well-established for years. Additionally, the typical hardware used for keyword spotting differs substantially from the offerings of other benchmarks, such as MLPerf Inference’s speech recognition task.\n\n\nDataset\nGoogle Speech Commands(Warden (2018)) was selected as the best dataset to represent the task. The dataset is well-established in the research community and has permissive licensing, allowing it to be easily used in a benchmark.\n\nWarden, Pete. 2018. “Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.” ArXiv Preprint abs/1804.03209. https://arxiv.org/abs/1804.03209.\n\n\nModel\nThe next core component is the model, which will act as the primary workload for the benchmark. The model should be well established as a solution to the selected task rather than a state-of-the-art solution. The model selected is a simple depthwise separable convolution model. This architecture is not the state-of-the-art solution to the task, but it is well-established and not designed for a specific hardware platform like many state-of-the-art solutions. Despite being an inference benchmark, the benchmark also establishes a reference training recipe to be fully reproducible and transparent.\n\n\nMetrics\nLatency was selected as the primary metric for the benchmark, as keyword spotting systems need to react quickly to maintain user satisfaction. Additionally, given that TinyML systems are often battery-powered, energy consumption is measured to ensure the hardware platform is efficient. The accuracy of the model is also measured to ensure that the optimizations applied by a submitter, such as quantization, don’t degrade the accuracy beyond a threshold.\n\n\nBenchmark Harness\nMLPerf Tiny uses EEMBCs EnergyRunner benchmark harness to load the inputs to the model and isolate and measure the device’s energy consumption. When measuring energy consumption, it’s critical to select a harness that is accurate at the expected power levels of the devices under test and simple enough not to become a burden for the benchmark participants.\n\n\nBaseline Submission\nBaseline submissions are critical for contextualizing results and as a reference point to help participants get started. The baseline submission should prioritize simplicity and readability over state-of-the-art performance. The keyword spotting baseline uses a standard STM microcontroller as its hardware and TensorFlow Lite for Microcontrollers (David et al. (2021)) as its inference framework.\n\nDavid, Robert, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, et al. 2021. “Tensorflow Lite Micro: Embedded Machine Learning for Tinyml Systems.” Proceedings of Machine Learning and Systems 3: 800–811.\n\n\nModular Design\nMLPerf Tiny (Banbury et al. 2021) supports the benchmarking of any component of the ML system stack without sacrificing the comparability of two results. Its modular design allows components to be swapped out for comparison or improvement. The reference implementations, shown in green and orange in Figure 11.3, act as the baseline for results.\nIn the closed division, the hardware can be swapped out while the model and dataset remain fixed, leading to apples-to-apples comparisons between two devices. This approach ensures that the performance differences observed can be attributed solely to the hardware changes, providing valuable insights into the capabilities of different devices.\nOn the other hand, the open division allows users to showcase their contributions and competitive advantages elsewhere in the stack by modifying a reference implementation (e.g., the model). This flexibility enables participants to demonstrate their innovative solutions and optimizations across various components of the ML system.\nIn short, MLPerf Tiny offers a flexible and modular way to assess and enhance TinyML applications. By allowing the benchmarking of individual components or the entire system, MLPerf Tiny makes it easier to compare and improve different aspects of the technology, ultimately driving advancements in TinyML.\n\n\n\n\n\n\nFigure 11.3: MLPerf Tiny modular design. Credit: Banbury et al. (2021).\n\n\nBanbury, Colby, Vijay Janapa Reddi, Peter Torelli, Nat Jeffries, Csaba Kiraly, Jeremy Holleman, Pietro Montino, et al. 2021. “MLPerf Tiny Benchmark.” In Thirty-Fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 1).\n\n\n\n\n\n11.4.7 Challenges and Limitations\nWhile benchmarking provides a structured methodology for performance evaluation in complex domains like artificial intelligence and computing, the process also poses several challenges. If not properly addressed, these challenges can undermine the credibility and accuracy of benchmarking results. Some of the predominant difficulties faced in benchmarking include the following:\n\nIncomplete problem coverage: Benchmark tasks may not fully represent the problem space. For instance, common image classification datasets like CIFAR-10 have limited diversity in image types. Algorithms tuned for such benchmarks may fail to generalize well to real-world datasets.\nStatistical insignificance: Benchmarks must have enough trials and data samples to produce statistically significant results. For example, benchmarking an OCR model on only a few text scans may not adequately capture its true error rates.\nLimited reproducibility: Varying hardware, software versions, codebases, and other factors can reduce the reproducibility of benchmark results. MLPerf addresses this by providing reference implementations and environment specifications.\nMisalignment with end goals: Benchmarks focusing only on speed or accuracy metrics may misalign real-world objectives like cost and power efficiency. Benchmarks must reflect all critical performance axes.\nRapid staleness: Due to the rapid pace of advancements in AI and computing, benchmarks and their datasets can quickly become outdated. Maintaining up-to-date benchmarks is thus a persistent challenge.\n\nHowever, of all these challenges, the most significant and probmeatic ones are the “hardware lottery” and benchmark engineering.\n\nHardware Lottery\nThe “hardware lottery” in benchmarking machine learning systems refers to the situation where the success or efficiency of a machine learning model is significantly influenced by the compatibility of the model with the underlying hardware (Chu et al. 2021). In other words, some models perform exceptionally well because they are a good fit for the particular characteristics or capabilities of the hardware they are run on rather than because they are intrinsically superior models.\n\nChu, Grace, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, and Andrew Howard. 2021. “Discovering Multi-Hardware Mobile Models via Architecture Search.” In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 3022–31. IEEE. https://doi.org/10.1109/cvprw53098.2021.00337.\nFigure 11.4 demonstrates the performance of different models on different hardware: notice how (follow the big yellow arrow) the Mobilenet V3 Large model (in green) has the lowest latency among all models when run unquantized on the Pixel4 CPU. At the same time, it performs the worst on Pixel4 DSP Qualcomm Snapdragon 855. Unfortunately, the hardware used is often omitted from papers or only briefly mentioned, making reproducing results difficult, if possible.\n\n\n\n\n\n\nFigure 11.4: Hardware Lottery.\n\n\n\nFor instance, certain machine learning models may be designed and optimized to take advantage of the parallel processing capabilities of specific hardware accelerators, such as Graphics Processing Units (GPUs) or Tensor Processing Units (TPUs). As a result, these models might show superior performance when benchmarked on such hardware compared to other models that are not optimized for the hardware.\nThe “hardware lottery” can introduce challenges and biases in benchmarking machine learning systems, as the model’s performance is not solely dependent on the model’s architecture or algorithm but also on the compatibility and synergies with the underlying hardware. This can make it difficult to compare different models fairly and to identify the best model based on its intrinsic merits. It can also lead to a situation where the community converges on models that are a good fit for the popular hardware of the day, potentially overlooking other models that might be superior but incompatible with the current hardware trends.\nThis has additional impacts on hardware benchmarks. Modern popular models are often optimized specifically for GPUs as they are the most common hardware for training and inference. This puts other hardware architectures at a disadvantage when compared against GPUs since so much engineering effort has been put into optimizing for that type of hardware architecture. This can cause a feedback loop where GPUs look the best on benchmarks, so new models are optimized for GPUs, so GPUs win the benchmarks, and so on. Without careful design of benchmarks, machine learning can fall into a local minimum and not explore new and promising types of ML hardware architecture.\n\n\nBenchmark Engineering\nBenchmark engineering refers to tweaking or modifying an AI system to optimize performance on specific benchmark tests, often at the expense of generalizability or real-world performance. This can include adjusting hyperparameters, training data, or other aspects of the system specifically to achieve high scores on benchmark metrics without necessarily improving the overall functionality or utility of the system.\nThe motivation behind benchmark engineering often stems from the desire to achieve high-performance scores for marketing or competitive purposes. High benchmark scores can demonstrate the superiority of an AI system compared to competitors and can be a key selling point for potential users or investors. This pressure to perform well on benchmarks sometimes leads to prioritizing benchmark-specific optimizations over more holistic improvements to the system.\nIt can lead to several risks and challenges. One of the primary risks is that the AI system may perform worse in real-world applications than the benchmark scores suggest. This can lead to user dissatisfaction, reputational damage, and potential safety or ethical concerns. Furthermore, benchmark engineering can contribute to a lack of transparency and accountability in the AI community, as it can be difficult to discern how much of an AI system’s performance is due to genuine improvements versus benchmark-specific optimizations.\nThe AI community must prioritize transparency and accountability to mitigate the risks associated with benchmark engineering. This can include disclosing any optimizations or adjustments made specifically for benchmark tests and providing more comprehensive evaluations of AI systems that include real-world performance metrics and benchmark scores. Researchers and developers must prioritize holistic improvements to AI systems that improve their generalizability and functionality across various applications rather than focusing solely on benchmark-specific optimizations.\n\n\nMitigation\nThere are several ways to mitigate benchmark engineering. Transparency in the benchmarking process is crucial to maintaining benchmark accuracy and reliability. This involves clearly disclosing the methodologies, data sets, and evaluation criteria used in benchmark tests, as well as any optimizations or adjustments made to the AI system for the purpose of the benchmark.\nOne way to achieve transparency is through the use of open-source benchmarks. Open-source benchmarks are made publicly available, allowing researchers, developers, and other stakeholders to review, critique, and contribute to them, thereby ensuring their accuracy and reliability. This collaborative approach also facilitates sharing best practices and developing more robust and comprehensive benchmarks.\nAnother method for achieving transparency is through peer review of benchmarks. This involves having independent experts review and validate the benchmark’s methodology, data sets, and results to ensure their credibility and reliability. Peer review can provide a valuable means of verifying the accuracy of benchmark tests and help build confidence in the results.\nStandardization of benchmarks is another important solution to mitigate benchmark engineering. Standardized benchmarks provide a common framework for evaluating AI systems, ensuring consistency and comparability across different systems and applications. This can be achieved by developing industry-wide standards and best practices for benchmarking and through common metrics and evaluation criteria.\nThird-party verification of results can also be valuable in mitigating benchmark engineering. This involves having an independent third party verify the results of a benchmark test to ensure their credibility and reliability. Third-party verification can build confidence in the results and provide a valuable means of validating the performance and capabilities of AI systems.", "crumbs": [ "Deployment", "11  Benchmarking AI" @@ -1181,7 +1181,7 @@ "href": "contents/benchmarking/benchmarking.html#model-benchmarking", "title": "11  Benchmarking AI", "section": "11.5 Model Benchmarking", - "text": "11.5 Model Benchmarking\nBenchmarking machine learning models is important for determining the effectiveness and efficiency of various machine learning algorithms in solving specific tasks or problems. By analyzing the results obtained from benchmarking, developers and researchers can identify their models’ strengths and weaknesses, leading to more informed decisions on model selection and further optimization.\nThe evolution and progress of machine learning models are intrinsically linked to the availability and quality of data sets. In machine learning, data acts as the raw material that powers the algorithms, allowing them to learn, adapt, and ultimately perform tasks that were traditionally the domain of humans. Therefore, it is important to understand this history.\n\n11.5.1 Historical Context\nMachine learning datasets have a rich history and have evolved significantly over the years, growing in size, complexity, and diversity to meet the ever-increasing demands of the field. Let’s take a closer look at this evolution, starting from one of the earliest and most iconic datasets – MNIST.\n\nMNIST (1998)\nThe MNIST dataset, created by Yann LeCun, Corinna Cortes, and Christopher J.C. Burges in 1998, can be considered a cornerstone in the history of machine learning datasets. It comprises 70,000 labeled 28x28 pixel grayscale images of handwritten digits (0-9). MNIST has been widely used for benchmarking algorithms in image processing and machine learning as a starting point for many researchers and practitioners. Figure 11.4 shows some examples of handwritten digits.\n\n\n\n\n\n\nFigure 11.4: MNIST handwritten digits. Credit: Suvanjanprasai.\n\n\n\n\n\nImageNet (2009)\nFast forward to 2009, and we see the introduction of the ImageNet dataset, which marked a significant leap in the scale and complexity of datasets. ImageNet consists of over 14 million labeled images spanning more than 20,000 categories. Fei-Fei Li and her team developed it to advance object recognition and computer vision research. The dataset became synonymous with the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), an annual competition crucial in developing deep learning models, including the famous AlexNet in 2012.\n\n\nCOCO (2014)\nThe Common Objects in Context (COCO) dataset(Lin et al. (2014)), released in 2014, further expanded the landscape of machine learning datasets by introducing a richer set of annotations. COCO consists of images containing complex scenes with multiple objects, and each image is annotated with object bounding boxes, segmentation masks, and captions. This dataset has been instrumental in advancing research in object detection, segmentation, and image captioning.\n\nLin, Tsung-Yi, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014. “Microsoft Coco: Common Objects in Context.” In Computer VisionECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part v 13, 740–55. Springer.\nhttps://cocodataset.org/images/jpg/coco-examples.jpg\n\n\nGPT-3 (2020)\nWhile the above examples primarily focus on image datasets, there have also been significant developments in text datasets. One notable example is GPT-3 (Brown et al. 2020), developed by OpenAI. GPT-3 is a language model trained on diverse internet text. Although the dataset used to train GPT-3 is not publicly available, the model itself, consisting of 175 billion parameters, is a testament to the scale and complexity of modern machine learning datasets and models.\n\nBrown, Tom B., Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, et al. 2020. “Language Models Are Few-Shot Learners.” In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, Virtual, edited by Hugo Larochelle, Marc’Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin. https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html.\n\n\nPresent and Future\nToday, we have a plethora of datasets spanning various domains, including healthcare, finance, social sciences, and more. The following characteristics help us taxonomize the space and growth of machine learning datasets that fuel model development.\n\nDiversity of Data Sets: The variety of data sets available to researchers and engineers has expanded dramatically, covering many fields, including natural language processing, image recognition, and more. This diversity has fueled the development of specialized machine-learning models tailored to specific tasks, such as translation, speech recognition, and facial recognition.\nVolume of Data: The sheer volume of data that has become available in the digital age has also played a crucial role in advancing machine learning models. Large data sets enable models to capture the complexity and nuances of real-world phenomena, leading to more accurate and reliable predictions.\nQuality and Cleanliness of Data: The quality of data is another critical factor that influences the performance of machine learning models. Clean, well-labeled, and unbiased data sets are essential for training models that are robust and fair.\nOpen Access to Data: The availability of open-access data sets has also contributed significantly to machine learning’s progress. Open data allows researchers from around the world to collaborate, share insights, and build upon each other’s work, leading to faster innovation and the development of more advanced models.\nEthics and Privacy Concerns: As data sets grow in size and complexity, ethical considerations and privacy concerns become increasingly important. There is an ongoing debate about the balance between leveraging data for machine learning advancements and protecting individuals’ privacy rights.\n\nThe development of machine learning models relies heavily on the availability of diverse, large, high-quality, and open-access data sets. As we move forward, addressing the ethical considerations and privacy concerns associated with using large data sets is crucial to ensure that machine learning technologies benefit society. There is a growing awareness that data acts as the rocket fuel for machine learning, driving and fueling the development of machine learning models. Consequently, more focus is being placed on developing the data sets themselves. We will explore this in further detail in the data benchmarking section.\n\n\n\n11.5.2 Model Metrics\nMachine learning model evaluation has evolved from a narrow focus on accuracy to a more comprehensive approach considering a range of factors, from ethical considerations and real-world applicability to practical constraints like model size and efficiency. This shift reflects the field’s maturation as machine learning models are increasingly applied in diverse, complex real-world scenarios.\n\nAccuracy\nAccuracy is one of the most intuitive and commonly used metrics for evaluating machine learning models. At its core, accuracy measures the proportion of correct predictions made by the model out of all predictions. For example, imagine we have developed a machine learning model to classify images as either containing a cat or not. If we test this model on a dataset of 100 images, and it correctly identifies 90 of them, we would calculate its accuracy as 90%.\nIn the initial stages of machine learning, accuracy was often the primary, if not the only, metric considered when evaluating model performance. This is understandable, given its straightforward nature and ease of interpretation. However, as the field has progressed, the limitations of relying solely on accuracy have become more apparent.\nConsider the example of a medical diagnosis model with an accuracy of 95%. While at first glance this may seem impressive, we must delve deeper to assess the model’s performance fully. Suppose the model fails to accurately diagnose severe conditions that, while rare, can have severe consequences; its high accuracy may not be as meaningful. A pertinent example of this is Google’s retinopathy machine learning model, which was designed to diagnose diabetic retinopathy and diabetic macular edema from retinal photographs.\nThe Google model demonstrated impressive accuracy levels in lab settings. Still, when deployed in real-world clinical environments in Thailand, it faced significant challenges. In the real-world setting, the model encountered diverse patient populations, varying image quality, and a range of different medical conditions that it had not been exposed to during its training. Consequently, its performance could have been better, and it struggled to maintain the same accuracy levels observed in lab settings. This example serves as a clear reminder that while high accuracy is an important and desirable attribute for a medical diagnosis model, it must be evaluated in conjunction with other factors, such as the model’s ability to generalize to different populations and handle diverse and unpredictable real-world conditions, to understand its value and potential impact on patient care truly.\nSimilarly, if the model performs well on average but exhibits significant disparities in performance across different demographic groups, this, too, would be cause for concern.\nThe evolution of machine learning has thus seen a shift towards a more holistic approach to model evaluation, taking into account not just accuracy, but also other crucial factors such as fairness, transparency, and real-world applicability. A prime example is the Gender Shades project at MIT Media Lab, led by Joy Buolamwini, highlighting significant racial and gender biases in commercial facial recognition systems. The project evaluated the performance of three facial recognition technologies developed by IBM, Microsoft, and Face++. It found that they all exhibited biases, performing better on lighter-skinned and male faces compared to darker-skinned and female faces.\nWhile accuracy remains a fundamental and valuable metric for evaluating machine learning models, a more comprehensive approach is required to fully assess a model’s performance. This means considering additional metrics that account for fairness, transparency, and real-world applicability, as well as conducting rigorous testing across diverse datasets to uncover and mitigate any potential biases. The move towards a more holistic approach to model evaluation reflects the maturation of the field and its increasing recognition of the real-world implications and ethical considerations associated with deploying machine learning models.\n\n\nFairness\nFairness in machine learning models is a multifaceted and critical aspect that requires careful attention, particularly in high-stakes applications that significantly affect people’s lives, such as in loan approval processes, hiring, and criminal justice. It refers to the equitable treatment of all individuals, irrespective of their demographic or social attributes such as race, gender, age, or socioeconomic status.\nSimply relying on accuracy can be insufficient and potentially misleading when evaluating models. For instance, consider a loan approval model with a 95% accuracy rate. While this figure may appear impressive at first glance, it does not reveal how the model performs across different demographic groups. If this model consistently discriminates against a particular group, its accuracy is less commendable, and its fairness is questioned.\nDiscrimination can manifest in various forms, such as direct discrimination, where a model explicitly uses sensitive attributes like race or gender in its decision-making process, or indirect discrimination, where seemingly neutral variables correlate with sensitive attributes, indirectly influencing the model’s outcomes. An infamous example of the latter is the COMPAS tool used in the US criminal justice system, which exhibited racial biases in predicting recidivism rates despite not explicitly using race as a variable.\nAddressing fairness involves careful examination of the model’s performance across diverse groups, identifying potential biases, and rectifying disparities through corrective measures such as re-balancing datasets, adjusting model parameters, and implementing fairness-aware algorithms. Researchers and practitioners continuously develop metrics and methodologies tailored to specific use cases to evaluate fairness in real-world scenarios. For example, disparate impact analysis, demographic parity, and equal opportunity are some of the metrics employed to assess fairness.\nAdditionally, transparency and interpretability of models are fundamental to achieving fairness. Understanding how a model makes decisions can reveal potential biases and enable stakeholders to hold developers accountable. Open-source tools like AI Fairness 360 by IBM and Fairness Indicators by TensorFlow are being developed to facilitate fairness assessments and mitigation of biases in machine learning models.\nEnsuring fairness in machine learning models, particularly in applications that significantly impact people’s lives, requires rigorous evaluation of the model’s performance across diverse groups, careful identification and mitigation of biases, and implementation of transparency and interpretability measures. By comprehensively addressing fairness, we can work towards developing machine learning models that are equitable, just, and beneficial for society.\n\n\nComplexity\n\nParameters*\nIn the initial stages of machine learning, model benchmarking often relied on parameter counts as a proxy for model complexity. The rationale was that more parameters typically lead to a more complex model, which should, in turn, deliver better performance. However, this approach has proven inadequate as it needs to account for the computational cost associated with processing many parameters.\nFor example, GPT-3, developed by OpenAI, is a language model that boasts an astounding 175 billion parameters. While it achieves state-of-the-art performance on various natural language processing tasks, its size and the computational resources required to run it make it impractical for deployment in many real-world scenarios, especially those with limited computational capabilities.\nRelying on parameter counts as a proxy for model complexity also fails to consider the model’s efficiency. If optimized for efficiency, a model with fewer parameters might be just as effective, if not more so, than a model with a higher parameter count. For instance, MobileNets, developed by Google, is a family of models designed specifically for mobile and edge devices. They utilize depth-wise separable convolutions to reduce the number of parameters and computational costs while still achieving competitive performance.\nIn light of these limitations, the field has moved towards a more holistic approach to model benchmarking that considers parameter counts and other crucial factors such as floating-point operations per second (FLOPs), memory consumption, and latency. FLOPs, in particular, have emerged as an important metric as they provide a more accurate representation of the computational load a model imposes. This shift towards a more comprehensive approach to model benchmarking reflects a recognition of the need to balance performance with practicality, ensuring that models are effective, efficient, and deployable in real-world scenarios.\n\n\nFLOPS\nThe size of a machine learning model is an essential aspect that directly impacts its usability in practical scenarios, especially when computational resources are limited. Traditionally, the number of parameters in a model was often used as a proxy for its size, with the underlying assumption being that more parameters would translate to better performance. However, this simplistic view does not consider the computational cost of processing these parameters. This is where the concept of floating-point operations per second (FLOPs) comes into play, providing a more accurate representation of the computational load a model imposes.\nFLOPs measure the number of floating-point operations a model performs to generate a prediction. A model with many FLOPs requires substantial computational resources to process the vast number of operations, which may render it impractical for certain applications. Conversely, a model with a lower FLOP count is more lightweight and can be easily deployed in scenarios where computational resources are limited.\nLet’s consider an example. BERT Bidirectional Encoder Representations from Transformers, a popular natural language processing model, has over 340 million parameters, making it a large model with high accuracy and impressive performance across various tasks. However, the sheer size of BERT, coupled with its high FLOP count, makes it a computationally intensive model that may not be suitable for real-time applications or deployment on edge devices with limited computational capabilities.\nIn light of this, there has been a growing interest in developing smaller models that can achieve similar performance levels as their larger counterparts while being more efficient in computational load. DistilBERT, for instance, is a smaller version of BERT that retains 97% of its performance while being 40% smaller in terms of parameter count. The size reduction also translates to a lower FLOP count, making DistilBERT a more practical choice for resource-constrained scenarios.\nIn summary, while parameter count provides a useful indication of model size, it is not a comprehensive metric as it needs to consider the computational cost associated with processing these parameters. FLOPs, on the other hand, offer a more accurate representation of a model’s computational load and are thus an essential consideration when deploying machine learning models in real-world scenarios, particularly when computational resources are limited. The evolution from relying solely on parameter count to considering FLOPs signifies a maturation in the field, reflecting a greater awareness of the practical constraints and challenges of deploying machine learning models in diverse settings.\n\n\nEfficiency\nEfficiency metrics, such as memory consumption and latency/throughput, have also gained prominence. These metrics are particularly crucial when deploying models on edge devices or in real-time applications, as they measure how quickly a model can process data and how much memory it requires. In this context, Pareto curves are often used to visualize the trade-off between different metrics, helping stakeholders decide which model best suits their needs.\n\n\n\n\n11.5.3 Lessons Learned\nModel benchmarking has offered us several valuable insights that can be leveraged to drive innovation in system benchmarks. The progression of machine learning models has been profoundly influenced by the advent of leaderboards and the open-source availability of models and datasets. These elements have served as significant catalysts, propelling innovation and accelerating the integration of cutting-edge models into production environments. However, as we will explore further, these are not the only contributors to the development of machine learning benchmarks.\nLeaderboards play a vital role in providing an objective and transparent method for researchers and practitioners to evaluate the efficacy of different models, ranking them based on their performance in benchmarks. This system fosters a competitive environment, encouraging the development of models that are not only accurate but also efficient. The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is a prime example of this, with its annual leaderboard significantly contributing to developing groundbreaking models such as AlexNet.\nOpen-source access to state-of-the-art models and datasets further democratizes machine learning, facilitating collaboration among researchers and practitioners worldwide. This open access accelerates the process of testing, validation, and deployment of new models in production environments, as evidenced by the widespread adoption of models like BERT and GPT-3 in various applications, from natural language processing to more complex, multi-modal tasks.\nCommunity collaboration platforms like Kaggle have revolutionized the field by hosting competitions that unite data scientists from across the globe to solve intricate problems. Specific benchmarks serve as the goalposts for innovation and model development.\nMoreover, the availability of diverse and high-quality datasets is paramount in training and testing machine learning models. Datasets such as ImageNet have played an instrumental role in the evolution of image recognition models, while extensive text datasets have facilitated advancements in natural language processing models.\nLastly, the contributions of academic and research institutions must be supported. Their role in publishing research papers, sharing findings at conferences, and fostering collaboration between various institutions has significantly contributed to advancing machine learning models and benchmarks.\n\nEmerging Trends\nAs machine learning models become more sophisticated, so do the benchmarks required to assess them accurately. There are several emerging benchmarks and datasets that are gaining popularity due to their ability to evaluate models in more complex and realistic scenarios:\nMultimodal Datasets: These datasets contain multiple data types, such as text, images, and audio, to represent real-world situations better. An example is the VQA (Visual Question Answering) dataset (Antol et al. 2015), where models’ ability to answer text-based questions about images is tested.\n\nAntol, Stanislaw, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, and Devi Parikh. 2015. “VQA: Visual Question Answering.” In 2015 IEEE International Conference on Computer Vision (ICCV), 2425–33. IEEE. https://doi.org/10.1109/iccv.2015.279.\nFairness and Bias Evaluation: There is an increasing focus on creating benchmarks assessing machine learning models’ fairness and bias. Examples include the AI Fairness 360 toolkit, which offers a comprehensive set of metrics and datasets for evaluating bias in models.\nOut-of-Distribution Generalization: Testing how well models perform on data different from the original training distribution. This evaluates the model’s ability to generalize to new, unseen data. Example benchmarks are Wilds (Koh et al. 2021), RxRx, and ANC-Bench.\n\nKoh, Pang Wei, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, et al. 2021. “WILDS: A Benchmark of in-the-Wild Distribution Shifts.” In Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, edited by Marina Meila and Tong Zhang, 139:5637–64. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v139/koh21a.html.\n\nHendrycks, Dan, Kevin Zhao, Steven Basart, Jacob Steinhardt, and Dawn Song. 2021. “Natural Adversarial Examples.” In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15262–71. IEEE. https://doi.org/10.1109/cvpr46437.2021.01501.\n\nXie, Cihang, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, and Quoc V. Le. 2020. “Adversarial Examples Improve Image Recognition.” In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 816–25. IEEE. https://doi.org/10.1109/cvpr42600.2020.00090.\nAdversarial Robustness: Evaluating model performance under adversarial attacks or perturbations to the input data. This tests the model’s robustness. Example benchmarks are ImageNet-A (Hendrycks et al. 2021), ImageNet-C (Xie et al. 2020), and CIFAR-10.1.\nReal-World Performance: Testing models on real-world datasets that closely match end tasks rather than just canned benchmark datasets. Examples are medical imaging datasets for healthcare tasks or customer support chat logs for dialogue systems.\nEnergy and Compute Efficiency: Benchmarks that measure the computational resources required to achieve a particular accuracy. This evaluates the model’s Efficiency. Examples are MLPerf and Greenbench, already discussed in the Systems benchmarking section.\nInterpretability and Explainability: Benchmarks that assess how easy it is to understand and explain a model’s internal logic and predictions. Example metrics are faithfulness to input gradients and coherence of explanations.\n\n\n\n11.5.4 Limitations and Challenges\nWhile model benchmarks are an essential tool in assessing machine learning models, several limitations and challenges should be addressed to ensure that they accurately reflect a model’s performance in real-world scenarios.\nDataset does not Correspond to Real-World Scenarios: Often, the data used in model benchmarks is cleaned and preprocessed to such an extent that it may need to accurately represent the data that a model would encounter in real-world applications. This idealized data version can lead to overestimating a model’s performance. In the case of the ImageNet dataset, the images are well-labeled and categorized. Still, in a real-world scenario, a model may need to deal with blurry images that could be better lit or taken from awkward angles. This discrepancy can significantly affect the model’s performance.\nSim2Real Gap: The Sim2Real gap refers to the difference in the performance of a model when transitioning from a simulated environment to a real-world environment. This gap is often observed in robotics, where a robot trained in a simulated environment struggles to perform tasks in the real world due to the complexity and unpredictability of real-world environments. A robot trained to pick up objects in a simulated environment may need help to perform the same task in the real world because the simulated environment does not accurately represent the complexities of real-world physics, lighting, and object variability.\nChallenges in Creating Datasets: Creating a dataset for model benchmarking is a challenging task that requires careful consideration of various factors such as data quality, diversity, and representation. As discussed in the data engineering section, ensuring that the data is clean, unbiased, and representative of the real-world scenario is crucial for the accuracy and reliability of the benchmark. For example, when creating a dataset for a healthcare-related task, it is important to ensure that the data is representative of the entire population and not biased towards a particular demographic. This ensures that the model performs well across diverse patient populations.\nModel benchmarks are essential in measuring the capability of a model architecture in solving a fixed task, but it is important to address the limitations and challenges associated with them. This includes ensuring that the dataset accurately represents real-world scenarios, addressing the Sim2Real gap, and overcoming the challenges of creating unbiased and representative datasets. By addressing these challenges and many others, we can ensure that model benchmarks provide a more accurate and reliable assessment of a model’s performance in real-world applications.\nThe Speech Commands dataset and its successor MSWC, are common benchmarks for one of the quintessential TinyML applications, keyword spotting. Speech commands establish streaming error metrics beyond the standard top-1 classification accuracy more relevant to the keyword spotting use case. Using case-relevant metrics is what elevates a dataset to a model benchmark.", + "text": "11.5 Model Benchmarking\nBenchmarking machine learning models is important for determining the effectiveness and efficiency of various machine learning algorithms in solving specific tasks or problems. By analyzing the results obtained from benchmarking, developers and researchers can identify their models’ strengths and weaknesses, leading to more informed decisions on model selection and further optimization.\nThe evolution and progress of machine learning models are intrinsically linked to the availability and quality of data sets. In machine learning, data acts as the raw material that powers the algorithms, allowing them to learn, adapt, and ultimately perform tasks that were traditionally the domain of humans. Therefore, it is important to understand this history.\n\n11.5.1 Historical Context\nMachine learning datasets have a rich history and have evolved significantly over the years, growing in size, complexity, and diversity to meet the ever-increasing demands of the field. Let’s take a closer look at this evolution, starting from one of the earliest and most iconic datasets – MNIST.\n\nMNIST (1998)\nThe MNIST dataset, created by Yann LeCun, Corinna Cortes, and Christopher J.C. Burges in 1998, can be considered a cornerstone in the history of machine learning datasets. It comprises 70,000 labeled 28x28 pixel grayscale images of handwritten digits (0-9). MNIST has been widely used for benchmarking algorithms in image processing and machine learning as a starting point for many researchers and practitioners. Figure 11.5 shows some examples of handwritten digits.\n\n\n\n\n\n\nFigure 11.5: MNIST handwritten digits. Credit: Suvanjanprasai.\n\n\n\n\n\nImageNet (2009)\nFast forward to 2009, and we see the introduction of the ImageNet dataset, which marked a significant leap in the scale and complexity of datasets. ImageNet consists of over 14 million labeled images spanning more than 20,000 categories. Fei-Fei Li and her team developed it to advance object recognition and computer vision research. The dataset became synonymous with the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), an annual competition crucial in developing deep learning models, including the famous AlexNet in 2012.\n\n\nCOCO (2014)\nThe Common Objects in Context (COCO) dataset(Lin et al. (2014)), released in 2014, further expanded the landscape of machine learning datasets by introducing a richer set of annotations. COCO consists of images containing complex scenes with multiple objects, and each image is annotated with object bounding boxes, segmentation masks, and captions. This dataset has been instrumental in advancing research in object detection, segmentation, and image captioning.\n\nLin, Tsung-Yi, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014. “Microsoft Coco: Common Objects in Context.” In Computer VisionECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part v 13, 740–55. Springer.\nhttps://cocodataset.org/images/jpg/coco-examples.jpg\n\n\nGPT-3 (2020)\nWhile the above examples primarily focus on image datasets, there have also been significant developments in text datasets. One notable example is GPT-3 (Brown et al. 2020), developed by OpenAI. GPT-3 is a language model trained on diverse internet text. Although the dataset used to train GPT-3 is not publicly available, the model itself, consisting of 175 billion parameters, is a testament to the scale and complexity of modern machine learning datasets and models.\n\nBrown, Tom B., Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, et al. 2020. “Language Models Are Few-Shot Learners.” In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, Virtual, edited by Hugo Larochelle, Marc’Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin. https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html.\n\n\nPresent and Future\nToday, we have a plethora of datasets spanning various domains, including healthcare, finance, social sciences, and more. The following characteristics help us taxonomize the space and growth of machine learning datasets that fuel model development.\n\nDiversity of Data Sets: The variety of data sets available to researchers and engineers has expanded dramatically, covering many fields, including natural language processing, image recognition, and more. This diversity has fueled the development of specialized machine-learning models tailored to specific tasks, such as translation, speech recognition, and facial recognition.\nVolume of Data: The sheer volume of data that has become available in the digital age has also played a crucial role in advancing machine learning models. Large data sets enable models to capture the complexity and nuances of real-world phenomena, leading to more accurate and reliable predictions.\nQuality and Cleanliness of Data: The quality of data is another critical factor that influences the performance of machine learning models. Clean, well-labeled, and unbiased data sets are essential for training models that are robust and fair.\nOpen Access to Data: The availability of open-access data sets has also contributed significantly to machine learning’s progress. Open data allows researchers from around the world to collaborate, share insights, and build upon each other’s work, leading to faster innovation and the development of more advanced models.\nEthics and Privacy Concerns: As data sets grow in size and complexity, ethical considerations and privacy concerns become increasingly important. There is an ongoing debate about the balance between leveraging data for machine learning advancements and protecting individuals’ privacy rights.\n\nThe development of machine learning models relies heavily on the availability of diverse, large, high-quality, and open-access data sets. As we move forward, addressing the ethical considerations and privacy concerns associated with using large data sets is crucial to ensure that machine learning technologies benefit society. There is a growing awareness that data acts as the rocket fuel for machine learning, driving and fueling the development of machine learning models. Consequently, more focus is being placed on developing the data sets themselves. We will explore this in further detail in the data benchmarking section.\n\n\n\n11.5.2 Model Metrics\nMachine learning model evaluation has evolved from a narrow focus on accuracy to a more comprehensive approach considering a range of factors, from ethical considerations and real-world applicability to practical constraints like model size and efficiency. This shift reflects the field’s maturation as machine learning models are increasingly applied in diverse, complex real-world scenarios.\n\nAccuracy\nAccuracy is one of the most intuitive and commonly used metrics for evaluating machine learning models. At its core, accuracy measures the proportion of correct predictions made by the model out of all predictions. For example, imagine we have developed a machine learning model to classify images as either containing a cat or not. If we test this model on a dataset of 100 images, and it correctly identifies 90 of them, we would calculate its accuracy as 90%.\nIn the initial stages of machine learning, accuracy was often the primary, if not the only, metric considered when evaluating model performance. This is understandable, given its straightforward nature and ease of interpretation. However, as the field has progressed, the limitations of relying solely on accuracy have become more apparent.\nConsider the example of a medical diagnosis model with an accuracy of 95%. While at first glance this may seem impressive, this high-level metric may obscure that model’s true performance. Suppose the model fails to accurately diagnose severe conditions that, while rare, can have severe consequences; its high accuracy may not be as meaningful. A pertinent example of this is Google’s retinopathy machine learning model, which was designed to diagnose diabetic retinopathy and diabetic macular edema from retinal photographs.\nThe Google model demonstrated impressive accuracy levels in lab settings. Still, when deployed in real-world clinical environments in Thailand, it faced significant challenges. In the real-world setting, the model encountered diverse patient populations, varying image quality, and a range of different medical conditions that it had not been exposed to during its training. Consequently, its performance could have been better, and it struggled to maintain the same accuracy levels observed in lab settings. This example serves as a clear reminder that while high accuracy is an important and desirable attribute for a medical diagnosis model, it must be evaluated in conjunction with other factors, such as the model’s ability to generalize to different populations and handle diverse and unpredictable real-world conditions, to understand its value and potential impact on patient care truly.\nSimilarly, if the model performs well on average but exhibits significant disparities in performance across different demographic groups, this, too, would be cause for concern.\nThe evolution of machine learning has thus seen a shift towards a more holistic approach to model evaluation, taking into account not just accuracy, but also other crucial factors such as fairness, transparency, and real-world applicability. A prime example is the Gender Shades project at MIT Media Lab, led by Joy Buolamwini, highlighting significant racial and gender biases in commercial facial recognition systems. The project evaluated the performance of three facial recognition technologies developed by IBM, Microsoft, and Face++. It found that they all exhibited biases, performing better on lighter-skinned and male faces compared to darker-skinned and female faces.\nWhile accuracy remains a fundamental and valuable metric for evaluating machine learning models, a more comprehensive approach is required to fully assess a model’s performance. This means considering additional metrics that account for fairness, transparency, and real-world applicability, as well as conducting rigorous testing across diverse datasets to uncover and mitigate any potential biases. The move towards a more holistic approach to model evaluation reflects the maturation of the field and its increasing recognition of the real-world implications and ethical considerations associated with deploying machine learning models.\n\n\nFairness\nFairness in machine learning models is a multifaceted and critical aspect that requires careful attention, particularly in high-stakes applications that significantly affect people’s lives, such as in loan approval processes, hiring, and criminal justice. It refers to the equitable treatment of all individuals, irrespective of their demographic or social attributes such as race, gender, age, or socioeconomic status.\nSimply relying on accuracy can be insufficient and potentially misleading when evaluating models. For instance, consider a loan approval model with a 95% accuracy rate. While this figure may appear impressive at first glance, it does not reveal how the model performs across different demographic groups. If this model consistently discriminates against a particular group, its accuracy is less commendable, and its fairness is questioned.\nDiscrimination can manifest in various forms, such as direct discrimination, where a model explicitly uses sensitive attributes like race or gender in its decision-making process, or indirect discrimination, where seemingly neutral variables correlate with sensitive attributes, indirectly influencing the model’s outcomes. An infamous example of the latter is the COMPAS tool used in the US criminal justice system, which exhibited racial biases in predicting recidivism rates despite not explicitly using race as a variable.\nAddressing fairness involves careful examination of the model’s performance across diverse groups, identifying potential biases, and rectifying disparities through corrective measures such as re-balancing datasets, adjusting model parameters, and implementing fairness-aware algorithms. Researchers and practitioners continuously develop metrics and methodologies tailored to specific use cases to evaluate fairness in real-world scenarios. For example, disparate impact analysis, demographic parity, and equal opportunity are some of the metrics employed to assess fairness.\nAdditionally, transparency and interpretability of models are fundamental to achieving fairness. Understanding how a model makes decisions can reveal potential biases and enable stakeholders to hold developers accountable. Open-source tools like AI Fairness 360 by IBM and Fairness Indicators by TensorFlow are being developed to facilitate fairness assessments and mitigation of biases in machine learning models.\nEnsuring fairness in machine learning models, particularly in applications that significantly impact people’s lives, requires rigorous evaluation of the model’s performance across diverse groups, careful identification and mitigation of biases, and implementation of transparency and interpretability measures. By comprehensively addressing fairness, we can work towards developing machine learning models that are equitable, just, and beneficial for society.\n\n\nComplexity\n\nParameters*\nIn the initial stages of machine learning, model benchmarking often relied on parameter counts as a proxy for model complexity. The rationale was that more parameters typically lead to a more complex model, which should, in turn, deliver better performance. However, this approach has proven inadequate as it needs to account for the computational cost associated with processing many parameters.\nFor example, GPT-3, developed by OpenAI, is a language model that boasts an astounding 175 billion parameters. While it achieves state-of-the-art performance on various natural language processing tasks, its size and the computational resources required to run it make it impractical for deployment in many real-world scenarios, especially those with limited computational capabilities.\nRelying on parameter counts as a proxy for model complexity also fails to consider the model’s efficiency. If optimized for efficiency, a model with fewer parameters might be just as effective, if not more so, than a model with a higher parameter count. For instance, MobileNets, developed by Google, is a family of models designed specifically for mobile and edge devices. They utilize depth-wise separable convolutions to reduce the number of parameters and computational costs while still achieving competitive performance.\nIn light of these limitations, the field has moved towards a more holistic approach to model benchmarking that considers parameter counts and other crucial factors such as floating-point operations per second (FLOPs), memory consumption, and latency. FLOPs, in particular, have emerged as an important metric as they provide a more accurate representation of the computational load a model imposes. This shift towards a more comprehensive approach to model benchmarking reflects a recognition of the need to balance performance with practicality, ensuring that models are effective, efficient, and deployable in real-world scenarios.\n\n\nFLOPS\nThe size of a machine learning model is an essential aspect that directly impacts its usability in practical scenarios, especially when computational resources are limited. Traditionally, the number of parameters in a model was often used as a proxy for its size, with the underlying assumption being that more parameters would translate to better performance. However, this simplistic view does not consider the computational cost of processing these parameters. This is where the concept of floating-point operations per second (FLOPs) comes into play, providing a more accurate representation of the computational load a model imposes.\nFLOPs measure the number of floating-point operations a model performs to generate a prediction. A model with many FLOPs requires substantial computational resources to process the vast number of operations, which may render it impractical for certain applications. Conversely, a model with a lower FLOP count is more lightweight and can be easily deployed in scenarios where computational resources are limited.\nFigure 11.6, from (Bianco et al. 2018), shows the relationship between Top-1 Accuracy on ImageNet (y-axis), the model’s G-FLOPs (x-axis), and the model’s parameter count (circle-size).\n\n\n\n\n\n\nFigure 11.6: A graph that depicts the top-1 imagenet accuracy vs. the FLOP count of a model along with the model’s parameter count. The figure shows a overall tradeoff between model complexity and accuracy, although some model architectures are more efficiency than others. Credit: Bianco et al. (2018).\n\n\nBianco, Simone, Remi Cadene, Luigi Celona, and Paolo Napoletano. 2018. “Benchmark Analysis of Representative Deep Neural Network Architectures.” IEEE Access 6: 64270–77.\n\n\nLet’s consider an example. BERT Bidirectional Encoder Representations from Transformers, a popular natural language processing model, has over 340 million parameters, making it a large model with high accuracy and impressive performance across various tasks. However, the sheer size of BERT, coupled with its high FLOP count, makes it a computationally intensive model that may not be suitable for real-time applications or deployment on edge devices with limited computational capabilities.\nIn light of this, there has been a growing interest in developing smaller models that can achieve similar performance levels as their larger counterparts while being more efficient in computational load. DistilBERT, for instance, is a smaller version of BERT that retains 97% of its performance while being 40% smaller in terms of parameter count. The size reduction also translates to a lower FLOP count, making DistilBERT a more practical choice for resource-constrained scenarios.\nIn summary, while parameter count provides a useful indication of model size, it is not a comprehensive metric as it needs to consider the computational cost associated with processing these parameters. FLOPs, on the other hand, offer a more accurate representation of a model’s computational load and are thus an essential consideration when deploying machine learning models in real-world scenarios, particularly when computational resources are limited. The evolution from relying solely on parameter count to considering FLOPs signifies a maturation in the field, reflecting a greater awareness of the practical constraints and challenges of deploying machine learning models in diverse settings.\n\n\nEfficiency\nEfficiency metrics, such as memory consumption and latency/throughput, have also gained prominence. These metrics are particularly crucial when deploying models on edge devices or in real-time applications, as they measure how quickly a model can process data and how much memory it requires. In this context, Pareto curves are often used to visualize the trade-off between different metrics, helping stakeholders decide which model best suits their needs.\n\n\n\n\n11.5.3 Lessons Learned\nModel benchmarking has offered us several valuable insights that can be leveraged to drive innovation in system benchmarks. The progression of machine learning models has been profoundly influenced by the advent of leaderboards and the open-source availability of models and datasets. These elements have served as significant catalysts, propelling innovation and accelerating the integration of cutting-edge models into production environments. However, as we will explore further, these are not the only contributors to the development of machine learning benchmarks.\nLeaderboards play a vital role in providing an objective and transparent method for researchers and practitioners to evaluate the efficacy of different models, ranking them based on their performance in benchmarks. This system fosters a competitive environment, encouraging the development of models that are not only accurate but also efficient. The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is a prime example of this, with its annual leaderboard significantly contributing to developing groundbreaking models such as AlexNet.\nOpen-source access to state-of-the-art models and datasets further democratizes machine learning, facilitating collaboration among researchers and practitioners worldwide. This open access accelerates the process of testing, validation, and deployment of new models in production environments, as evidenced by the widespread adoption of models like BERT and GPT-3 in various applications, from natural language processing to more complex, multi-modal tasks.\nCommunity collaboration platforms like Kaggle have revolutionized the field by hosting competitions that unite data scientists from across the globe to solve intricate problems. Specific benchmarks serve as the goalposts for innovation and model development.\nMoreover, the availability of diverse and high-quality datasets is paramount in training and testing machine learning models. Datasets such as ImageNet have played an instrumental role in the evolution of image recognition models, while extensive text datasets have facilitated advancements in natural language processing models.\nLastly, the contributions of academic and research institutions must be supported. Their role in publishing research papers, sharing findings at conferences, and fostering collaboration between various institutions has significantly contributed to advancing machine learning models and benchmarks.\n\nEmerging Trends\nAs machine learning models become more sophisticated, so do the benchmarks required to assess them accurately. There are several emerging benchmarks and datasets that are gaining popularity due to their ability to evaluate models in more complex and realistic scenarios:\nMultimodal Datasets: These datasets contain multiple data types, such as text, images, and audio, to represent real-world situations better. An example is the VQA (Visual Question Answering) dataset (Antol et al. 2015), where models’ ability to answer text-based questions about images is tested.\n\nAntol, Stanislaw, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, and Devi Parikh. 2015. “VQA: Visual Question Answering.” In 2015 IEEE International Conference on Computer Vision (ICCV), 2425–33. IEEE. https://doi.org/10.1109/iccv.2015.279.\nFairness and Bias Evaluation: There is an increasing focus on creating benchmarks assessing machine learning models’ fairness and bias. Examples include the AI Fairness 360 toolkit, which offers a comprehensive set of metrics and datasets for evaluating bias in models.\nOut-of-Distribution Generalization: Testing how well models perform on data different from the original training distribution. This evaluates the model’s ability to generalize to new, unseen data. Example benchmarks are Wilds (Koh et al. 2021), RxRx, and ANC-Bench.\n\nKoh, Pang Wei, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, et al. 2021. “WILDS: A Benchmark of in-the-Wild Distribution Shifts.” In Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, edited by Marina Meila and Tong Zhang, 139:5637–64. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v139/koh21a.html.\n\nHendrycks, Dan, Kevin Zhao, Steven Basart, Jacob Steinhardt, and Dawn Song. 2021. “Natural Adversarial Examples.” In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15262–71. IEEE. https://doi.org/10.1109/cvpr46437.2021.01501.\n\nXie, Cihang, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, and Quoc V. Le. 2020. “Adversarial Examples Improve Image Recognition.” In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 816–25. IEEE. https://doi.org/10.1109/cvpr42600.2020.00090.\nAdversarial Robustness: Evaluating model performance under adversarial attacks or perturbations to the input data. This tests the model’s robustness. Example benchmarks are ImageNet-A (Hendrycks et al. 2021), ImageNet-C (Xie et al. 2020), and CIFAR-10.1.\nReal-World Performance: Testing models on real-world datasets that closely match end tasks rather than just canned benchmark datasets. Examples are medical imaging datasets for healthcare tasks or customer support chat logs for dialogue systems.\nEnergy and Compute Efficiency: Benchmarks that measure the computational resources required to achieve a particular accuracy. This evaluates the model’s Efficiency. Examples are MLPerf and Greenbench, already discussed in the Systems benchmarking section.\nInterpretability and Explainability: Benchmarks that assess how easy it is to understand and explain a model’s internal logic and predictions. Example metrics are faithfulness to input gradients and coherence of explanations.\n\n\n\n11.5.4 Limitations and Challenges\nWhile model benchmarks are an essential tool in assessing machine learning models, several limitations and challenges should be addressed to ensure that they accurately reflect a model’s performance in real-world scenarios.\nDataset does not Correspond to Real-World Scenarios: Often, the data used in model benchmarks is cleaned and preprocessed to such an extent that it may need to accurately represent the data that a model would encounter in real-world applications. This idealized data version can lead to overestimating a model’s performance. In the case of the ImageNet dataset, the images are well-labeled and categorized. Still, in a real-world scenario, a model may need to deal with blurry images that could be better lit or taken from awkward angles. This discrepancy can significantly affect the model’s performance.\nSim2Real Gap: The Sim2Real gap refers to the difference in the performance of a model when transitioning from a simulated environment to a real-world environment. This gap is often observed in robotics, where a robot trained in a simulated environment struggles to perform tasks in the real world due to the complexity and unpredictability of real-world environments. A robot trained to pick up objects in a simulated environment may need help to perform the same task in the real world because the simulated environment does not accurately represent the complexities of real-world physics, lighting, and object variability.\nChallenges in Creating Datasets: Creating a dataset for model benchmarking is a challenging task that requires careful consideration of various factors such as data quality, diversity, and representation. As discussed in the data engineering section, ensuring that the data is clean, unbiased, and representative of the real-world scenario is crucial for the accuracy and reliability of the benchmark. For example, when creating a dataset for a healthcare-related task, it is important to ensure that the data is representative of the entire population and not biased towards a particular demographic. This ensures that the model performs well across diverse patient populations.\nModel benchmarks are essential in measuring the capability of a model architecture in solving a fixed task, but it is important to address the limitations and challenges associated with them. This includes ensuring that the dataset accurately represents real-world scenarios, addressing the Sim2Real gap, and overcoming the challenges of creating unbiased and representative datasets. By addressing these challenges and many others, we can ensure that model benchmarks provide a more accurate and reliable assessment of a model’s performance in real-world applications.\nThe Speech Commands dataset and its successor MSWC, are common benchmarks for one of the quintessential TinyML applications, keyword spotting. Speech commands establish streaming error metrics beyond the standard top-1 classification accuracy more relevant to the keyword spotting use case. Using case-relevant metrics is what elevates a dataset to a model benchmark.", "crumbs": [ "Deployment", "11  Benchmarking AI" @@ -1192,7 +1192,7 @@ "href": "contents/benchmarking/benchmarking.html#data-benchmarking", "title": "11  Benchmarking AI", "section": "11.6 Data Benchmarking", - "text": "11.6 Data Benchmarking\nFor the past several years, AI has focused on developing increasingly sophisticated machine learning models like large language models. The goal has been to create models capable of human-level or superhuman performance on a wide range of tasks by training them on massive datasets. This model-centric approach produced rapid progress, with models attaining state-of-the-art results on many established benchmarks. Figure 11.5 shows the performance of AI systems relative to human performance (marked by the horizontal line at 0) across five applications: handwriting recognition, speech recognition, image recognition, reading comprehension, and language understanding. Over the past decade, the AI performance has surpassed that of humans.\nHowever, growing concerns about issues like bias, safety, and robustness persist even in models that achieve high accuracy on standard benchmarks. Additionally, some popular datasets used for evaluating models are beginning to saturate, with models reaching near-perfect performance on existing test splits (Kiela et al. 2021). As a simple example, there are test images in the classic MNIST handwritten digit dataset that may look indecipherable to most human evaluators but were assigned a label when the dataset was created - models that happen to agree with those labels may appear to exhibit superhuman performance but instead may only be capturing idiosyncrasies of the labeling and acquisition process from the dataset’s creation in 1994. In the same spirit, computer vision researchers now ask, “Are we done with ImageNet?” (Beyer et al. 2020). This highlights limitations in the conventional model-centric approach of optimizing accuracy on fixed datasets through architectural innovations.\n\nBeyer, Lucas, Olivier J Hénaff, Alexander Kolesnikov, Xiaohua Zhai, and Aäron van den Oord. 2020. “Are We Done with Imagenet?” ArXiv Preprint abs/2006.07159. https://arxiv.org/abs/2006.07159.\n\n\n\n\n\n\nFigure 11.5: AI vs human performane. Credit: Kiela et al. (2021).\n\n\nKiela, Douwe, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, et al. 2021. “Dynabench: Rethinking Benchmarking in NLP.” In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 4110–24. Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.324.\n\n\nAn alternative paradigm is emerging called data-centric AI. Rather than treating data as static and focusing narrowly on model performance, this approach recognizes that models are only as good as their training data. So, the emphasis shifts to curating high-quality datasets that better reflect real-world complexity, developing more informative evaluation benchmarks, and carefully considering how data is sampled, preprocessed, and augmented. The goal is to optimize model behavior by improving the data rather than just optimizing metrics on flawed datasets. Data-centric AI critically examines and enhances the data itself to produce beneficial AI. This reflects an important evolution in mindset as the field addresses the shortcomings of narrow benchmarking.\nThis section will explore the key differences between model-centric and data-centric approaches to AI. This distinction has important implications for how we benchmark AI systems. Specifically, we will see how focusing on data quality and Efficiency can directly improve machine learning performance as an alternative to optimizing model architectures solely. The data-centric approach recognizes that models are only as good as their training data. So, enhancing data curation, evaluation benchmarks, and data handling processes can produce AI systems that are safer, fairer, and more robust. Rethinking benchmarking to prioritize data alongside models represents an important evolution as the field aims to deliver trustworthy real-world impact.\n\n11.6.1 Limitations of Model-Centric AI\nIn the model-centric AI era, a prominent characteristic was the development of complex model architectures. Researchers and practitioners dedicated substantial effort to devising sophisticated and intricate models in the quest for superior performance. This frequently involved the incorporation of additional layers and the fine-tuning of a multitude of hyperparameters to achieve incremental improvements in accuracy. Concurrently, there was a significant emphasis on leveraging advanced algorithms. These algorithms, often at the forefront of the latest research, were employed to enhance the performance of AI models. The primary aim of these algorithms was to optimize the learning process of models, thereby extracting maximal information from the training data.\nWhile the model-centric approach has been central to many advancements in AI, it has several areas for improvement. First, the development of complex model architectures can often lead to overfitting. This is when the model performs well on the training data but needs to generalize to new, unseen data. The additional layers and complexity can capture noise in the training data as if it were a real pattern, harming the model’s performance on new data.\nSecond, relying on advanced algorithms can sometimes obscure the real understanding of a model’s functioning. These algorithms often act as a black box, making it difficult to interpret how the model is making decisions. This lack of transparency can be a significant hurdle, especially in critical applications such as healthcare and finance, where understanding the model’s decision-making process is crucial.\nThird, the emphasis on achieving state-of-the-art results on benchmark datasets can sometimes be misleading. These datasets need to represent the complexities and variability of real-world data more fully. A model that performs well on a benchmark dataset may not necessarily generalize well to new, unseen data in a real-world application. This discrepancy can lead to false confidence in the model’s capabilities and hinder its practical applicability.\nLastly, the model-centric approach often relies on large labeled datasets for training. However, obtaining such datasets takes time and effort in many real-world scenarios. This reliance on large datasets also limits AI’s applicability in domains where data is scarce or expensive to label.\nAs a result of the above reasons, and many more, the AI community is shifting to a more data-centric approach. Rather than focusing just on model architecture, researchers are now prioritizing curating high-quality datasets, developing better evaluation benchmarks, and considering how data is sampled and preprocessed. The key idea is that models are only as good as their training data. So, focusing on getting the right data will allow us to develop AI systems that are more fair, safe, and aligned with human values. This data-centric shift represents an important change in mindset as AI progresses.\n\n\n11.6.2 The Shift Toward Data-centric AI\nData-centric AI is a paradigm that emphasizes the importance of high-quality, well-labeled, and diverse datasets in developing AI models. In contrast to the model-centric approach, which focuses on refining and iterating on the model architecture and algorithm to improve performance, data-centric AI prioritizes the quality of the input data as the primary driver of improved model performance. High-quality data is clean, well-labeled and representative of the real-world scenarios the model will encounter. In contrast, low-quality data can lead to poor model performance, regardless of the complexity or sophistication of the model architecture.\nData-centric AI puts a strong emphasis on the cleaning and labeling of data. Cleaning involves the removal of outliers, handling missing values, and addressing other data inconsistencies. Labeling, on the other hand, involves assigning meaningful and accurate labels to the data. Both these processes are crucial in ensuring that the AI model is trained on accurate and relevant data. Another important aspect of the data-centric approach is data augmentation. This involves artificially increasing the size and diversity of the dataset by applying various transformations to the data, such as rotation, scaling, and flipping training images. Data augmentation helps in improving the model’s robustness and generalization capabilities.\nThere are several benefits to adopting a data-centric approach to AI development. First and foremost, it leads to improved model performance and generalization capabilities. By ensuring that the model is trained on high-quality, diverse data, the model can better generalize to new, unseen data (Mattson et al. 2020b).\nAdditionally, a data-centric approach can often lead to simpler models that are easier to interpret and maintain. This is because the emphasis is on the data rather than the model architecture, meaning simpler models can achieve high performance when trained on high-quality data.\nThe shift towards data-centric AI represents a significant paradigm shift. By prioritizing the quality of the input data, this approach aims to improve model performance and generalization capabilities, ultimately leading to more robust and reliable AI systems. As we continue to advance in our understanding and application of AI, the data-centric approach is likely to play an important role in shaping the future of this field.\n\n\n11.6.3 Benchmarking Data\nData benchmarking aims to evaluate common issues in datasets, such as identifying label errors, noisy features, representation imbalance (for example, out of the 1000 classes in Imagenet-1K, there are over 100 categories which are just types of dogs), class imbalance (where some classes have many more samples than others), whether models trained on a given dataset can generalize to out-of-distribution features, or what types of biases might exist in a given dataset (Mattson et al. 2020b). In its simplest form, data benchmarking aims to improve accuracy on a test set by removing noisy or mislabeled training samples while keeping the model architecture fixed. Recent competitions in data benchmarking have invited participants to submit novel augmentation strategies and active learning techniques.\n\nMattson, Peter, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, et al. 2020b. “MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance.” IEEE Micro 40 (2): 8–16. https://doi.org/10.1109/mm.2020.2974843.\nData-centric techniques continue to gain attention in benchmarking, especially as foundation models are increasingly trained on self-supervised objectives. Compared to smaller datasets like Imagenet-1K, massive datasets commonly used in self-supervised learning, such as Common Crawl, OpenImages, and LAION-5B, contain higher amounts of noise, duplicates, bias, and potentially offensive data.\nDataComp is a recently launched dataset competition that targets the evaluation of large corpora. DataComp focuses on language-image pairs used to train CLIP models. The introductory whitepaper finds that when the total compute budget for training is constant, the best-performing CLIP models on downstream tasks, such as ImageNet classification, are trained on just 30% of the available training sample pool. This suggests that proper filtering of large corpora is critical to improving the accuracy of foundation models. Similarly, Demystifying CLIP Data (Xu et al. 2023) asks whether the success of CLIP is attributable to the architecture or the dataset.\n\nXu, Hu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, and Christoph Feichtenhofer. 2023. “Demystifying CLIP Data.” ArXiv Preprint abs/2309.16671. https://arxiv.org/abs/2309.16671.\nDataPerf is another recent effort focusing on benchmarking data in various modalities. DataPerf provides rounds of online competition to spur improvement in datasets. The inaugural offering launched with challenges in vision, speech, acquisition, debugging, and text prompting for image generation.\n\n\n11.6.4 Data Efficiency\nAs machine learning models grow larger and more complex and compute resources become more scarce in the face of rising demand, it becomes challenging to meet the computation requirements even with the largest machine learning fleets. To overcome these challenges and ensure machine learning system scalability, it is necessary to explore novel opportunities that augment conventional approaches to resource scaling.\nImproving data quality can be a useful method to impact machine learning system performance significantly. One of the primary benefits of enhancing data quality is the potential to reduce the size of the training dataset while still maintaining or even improving model performance. This data size reduction directly relates to the amount of training time required, thereby allowing models to converge more quickly and efficiently. Achieving this balance between data quality and dataset size is a challenging task that requires the development of sophisticated methods, algorithms, and techniques.\nSeveral approaches can be taken to improve data quality. These methods include and are not limited to the following:\n\nData Cleaning: This involves handling missing values, correcting errors, and removing outliers. Clean data ensures that the model is not learning from noise or inaccuracies.\nData Interpretability and Explainability: Common techniques include LIME (Ribeiro, Singh, and Guestrin 2016), which provides insight into the decision boundaries of classifiers, and Shapley values (Lundberg and Lee 2017), which estimate the importance of individual samples in contributing to a model’s predictions.\nFeature Engineering: Transforming or creating new features can significantly improve model performance by providing more relevant information for learning.\nData Augmentation: Augmenting data by creating new samples through various transformations can help improve model robustness and generalization.\nActive Learning: This is a semi-supervised learning approach where the model actively queries a human oracle to label the most informative samples (Coleman et al. 2022). This ensures that the model is trained on the most relevant data.\nDimensionality Reduction: Techniques like PCA can reduce the number of features in a dataset, thereby reducing complexity and training time.\n\n\nRibeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. 2016. “” Why Should i Trust You?” Explaining the Predictions of Any Classifier.” In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1135–44.\n\nLundberg, Scott M., and Su-In Lee. 2017. “A Unified Approach to Interpreting Model Predictions.” In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, edited by Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, and Roman Garnett, 4765–74. https://proceedings.neurips.cc/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html.\n\nColeman, Cody, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, and I. Zeki Yalniz. 2022. “Similarity Search for Efficient Active Learning and Search of Rare Concepts.” In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, the Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 6402–10. AAAI Press. https://ojs.aaai.org/index.php/AAAI/article/view/20591.\nThere are many other methods in the wild. But the goal is the same. Refining the dataset and ensuring it is of the highest quality can reduce the training time required for models to converge. However, achieving this requires developing and implementing sophisticated methods, algorithms, and techniques that can clean, preprocess, and augment data while retaining the most informative samples. This is an ongoing challenge that will require continued research and innovation in the field of machine learning.", + "text": "11.6 Data Benchmarking\nFor the past several years, AI has focused on developing increasingly sophisticated machine learning models like large language models. The goal has been to create models capable of human-level or superhuman performance on a wide range of tasks by training them on massive datasets. This model-centric approach produced rapid progress, with models attaining state-of-the-art results on many established benchmarks. Figure 11.7 shows the performance of AI systems relative to human performance (marked by the horizontal line at 0) across five applications: handwriting recognition, speech recognition, image recognition, reading comprehension, and language understanding. Over the past decade, the AI performance has surpassed that of humans.\nHowever, growing concerns about issues like bias, safety, and robustness persist even in models that achieve high accuracy on standard benchmarks. Additionally, some popular datasets used for evaluating models are beginning to saturate, with models reaching near-perfect performance on existing test splits (Kiela et al. 2021). As a simple example, there are test images in the classic MNIST handwritten digit dataset that may look indecipherable to most human evaluators but were assigned a label when the dataset was created - models that happen to agree with those labels may appear to exhibit superhuman performance but instead may only be capturing idiosyncrasies of the labeling and acquisition process from the dataset’s creation in 1994. In the same spirit, computer vision researchers now ask, “Are we done with ImageNet?” (Beyer et al. 2020). This highlights limitations in the conventional model-centric approach of optimizing accuracy on fixed datasets through architectural innovations.\n\nBeyer, Lucas, Olivier J Hénaff, Alexander Kolesnikov, Xiaohua Zhai, and Aäron van den Oord. 2020. “Are We Done with Imagenet?” ArXiv Preprint abs/2006.07159. https://arxiv.org/abs/2006.07159.\n\n\n\n\n\n\nFigure 11.7: AI vs human performane. Credit: Kiela et al. (2021).\n\n\nKiela, Douwe, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, et al. 2021. “Dynabench: Rethinking Benchmarking in NLP.” In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 4110–24. Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.324.\n\n\nAn alternative paradigm is emerging called data-centric AI. Rather than treating data as static and focusing narrowly on model performance, this approach recognizes that models are only as good as their training data. So, the emphasis shifts to curating high-quality datasets that better reflect real-world complexity, developing more informative evaluation benchmarks, and carefully considering how data is sampled, preprocessed, and augmented. The goal is to optimize model behavior by improving the data rather than just optimizing metrics on flawed datasets. Data-centric AI critically examines and enhances the data itself to produce beneficial AI. This reflects an important evolution in mindset as the field addresses the shortcomings of narrow benchmarking.\nThis section will explore the key differences between model-centric and data-centric approaches to AI. This distinction has important implications for how we benchmark AI systems. Specifically, we will see how focusing on data quality and Efficiency can directly improve machine learning performance as an alternative to optimizing model architectures solely. The data-centric approach recognizes that models are only as good as their training data. So, enhancing data curation, evaluation benchmarks, and data handling processes can produce AI systems that are safer, fairer, and more robust. Rethinking benchmarking to prioritize data alongside models represents an important evolution as the field aims to deliver trustworthy real-world impact.\n\n11.6.1 Limitations of Model-Centric AI\nIn the model-centric AI era, a prominent characteristic was the development of complex model architectures. Researchers and practitioners dedicated substantial effort to devising sophisticated and intricate models in the quest for superior performance. This frequently involved the incorporation of additional layers and the fine-tuning of a multitude of hyperparameters to achieve incremental improvements in accuracy. Concurrently, there was a significant emphasis on leveraging advanced algorithms. These algorithms, often at the forefront of the latest research, were employed to enhance the performance of AI models. The primary aim of these algorithms was to optimize the learning process of models, thereby extracting maximal information from the training data.\nWhile the model-centric approach has been central to many advancements in AI, it has several areas for improvement. First, the development of complex model architectures can often lead to overfitting. This is when the model performs well on the training data but needs to generalize to new, unseen data. The additional layers and complexity can capture noise in the training data as if it were a real pattern, harming the model’s performance on new data.\nSecond, relying on advanced algorithms can sometimes obscure the real understanding of a model’s functioning. These algorithms often act as a black box, making it difficult to interpret how the model is making decisions. This lack of transparency can be a significant hurdle, especially in critical applications such as healthcare and finance, where understanding the model’s decision-making process is crucial.\nThird, the emphasis on achieving state-of-the-art results on benchmark datasets can sometimes be misleading. These datasets need to represent the complexities and variability of real-world data more fully. A model that performs well on a benchmark dataset may not necessarily generalize well to new, unseen data in a real-world application. This discrepancy can lead to false confidence in the model’s capabilities and hinder its practical applicability.\nLastly, the model-centric approach often relies on large labeled datasets for training. However, obtaining such datasets takes time and effort in many real-world scenarios. This reliance on large datasets also limits AI’s applicability in domains where data is scarce or expensive to label.\nAs a result of the above reasons, and many more, the AI community is shifting to a more data-centric approach. Rather than focusing just on model architecture, researchers are now prioritizing curating high-quality datasets, developing better evaluation benchmarks, and considering how data is sampled and preprocessed. The key idea is that models are only as good as their training data. So, focusing on getting the right data will allow us to develop AI systems that are more fair, safe, and aligned with human values. This data-centric shift represents an important change in mindset as AI progresses.\n\n\n11.6.2 The Shift Toward Data-centric AI\nData-centric AI is a paradigm that emphasizes the importance of high-quality, well-labeled, and diverse datasets in developing AI models. In contrast to the model-centric approach, which focuses on refining and iterating on the model architecture and algorithm to improve performance, data-centric AI prioritizes the quality of the input data as the primary driver of improved model performance. High-quality data is clean, well-labeled and representative of the real-world scenarios the model will encounter. In contrast, low-quality data can lead to poor model performance, regardless of the complexity or sophistication of the model architecture.\nData-centric AI puts a strong emphasis on the cleaning and labeling of data. Cleaning involves the removal of outliers, handling missing values, and addressing other data inconsistencies. Labeling, on the other hand, involves assigning meaningful and accurate labels to the data. Both these processes are crucial in ensuring that the AI model is trained on accurate and relevant data. Another important aspect of the data-centric approach is data augmentation. This involves artificially increasing the size and diversity of the dataset by applying various transformations to the data, such as rotation, scaling, and flipping training images. Data augmentation helps in improving the model’s robustness and generalization capabilities.\nThere are several benefits to adopting a data-centric approach to AI development. First and foremost, it leads to improved model performance and generalization capabilities. By ensuring that the model is trained on high-quality, diverse data, the model can better generalize to new, unseen data (Mattson et al. 2020b).\nAdditionally, a data-centric approach can often lead to simpler models that are easier to interpret and maintain. This is because the emphasis is on the data rather than the model architecture, meaning simpler models can achieve high performance when trained on high-quality data.\nThe shift towards data-centric AI represents a significant paradigm shift. By prioritizing the quality of the input data, this approach aims to improve model performance and generalization capabilities, ultimately leading to more robust and reliable AI systems. As we continue to advance in our understanding and application of AI, the data-centric approach is likely to play an important role in shaping the future of this field.\n\n\n11.6.3 Benchmarking Data\nData benchmarking aims to evaluate common issues in datasets, such as identifying label errors, noisy features, representation imbalance (for example, out of the 1000 classes in Imagenet-1K, there are over 100 categories which are just types of dogs), class imbalance (where some classes have many more samples than others), whether models trained on a given dataset can generalize to out-of-distribution features, or what types of biases might exist in a given dataset (Mattson et al. 2020b). In its simplest form, data benchmarking aims to improve accuracy on a test set by removing noisy or mislabeled training samples while keeping the model architecture fixed. Recent competitions in data benchmarking have invited participants to submit novel augmentation strategies and active learning techniques.\n\nMattson, Peter, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg Diamos, David Kanter, Paulius Micikevicius, et al. 2020b. “MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance.” IEEE Micro 40 (2): 8–16. https://doi.org/10.1109/mm.2020.2974843.\nData-centric techniques continue to gain attention in benchmarking, especially as foundation models are increasingly trained on self-supervised objectives. Compared to smaller datasets like Imagenet-1K, massive datasets commonly used in self-supervised learning, such as Common Crawl, OpenImages, and LAION-5B, contain higher amounts of noise, duplicates, bias, and potentially offensive data.\nDataComp is a recently launched dataset competition that targets the evaluation of large corpora. DataComp focuses on language-image pairs used to train CLIP models. The introductory whitepaper finds that when the total compute budget for training is constant, the best-performing CLIP models on downstream tasks, such as ImageNet classification, are trained on just 30% of the available training sample pool. This suggests that proper filtering of large corpora is critical to improving the accuracy of foundation models. Similarly, Demystifying CLIP Data (Xu et al. 2023) asks whether the success of CLIP is attributable to the architecture or the dataset.\n\nXu, Hu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, and Christoph Feichtenhofer. 2023. “Demystifying CLIP Data.” ArXiv Preprint abs/2309.16671. https://arxiv.org/abs/2309.16671.\nDataPerf is another recent effort focusing on benchmarking data in various modalities. DataPerf provides rounds of online competition to spur improvement in datasets. The inaugural offering launched with challenges in vision, speech, acquisition, debugging, and text prompting for image generation.\n\n\n11.6.4 Data Efficiency\nAs machine learning models grow larger and more complex and compute resources become more scarce in the face of rising demand, it becomes challenging to meet the computation requirements even with the largest machine learning fleets. To overcome these challenges and ensure machine learning system scalability, it is necessary to explore novel opportunities that augment conventional approaches to resource scaling.\nImproving data quality can be a useful method to impact machine learning system performance significantly. One of the primary benefits of enhancing data quality is the potential to reduce the size of the training dataset while still maintaining or even improving model performance. This data size reduction directly relates to the amount of training time required, thereby allowing models to converge more quickly and efficiently. Achieving this balance between data quality and dataset size is a challenging task that requires the development of sophisticated methods, algorithms, and techniques.\nSeveral approaches can be taken to improve data quality. These methods include and are not limited to the following:\n\nData Cleaning: This involves handling missing values, correcting errors, and removing outliers. Clean data ensures that the model is not learning from noise or inaccuracies.\nData Interpretability and Explainability: Common techniques include LIME (Ribeiro, Singh, and Guestrin 2016), which provides insight into the decision boundaries of classifiers, and Shapley values (Lundberg and Lee 2017), which estimate the importance of individual samples in contributing to a model’s predictions.\nFeature Engineering: Transforming or creating new features can significantly improve model performance by providing more relevant information for learning.\nData Augmentation: Augmenting data by creating new samples through various transformations can help improve model robustness and generalization.\nActive Learning: This is a semi-supervised learning approach where the model actively queries a human oracle to label the most informative samples (Coleman et al. 2022). This ensures that the model is trained on the most relevant data.\nDimensionality Reduction: Techniques like PCA can reduce the number of features in a dataset, thereby reducing complexity and training time.\n\n\nRibeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. 2016. “” Why Should i Trust You?” Explaining the Predictions of Any Classifier.” In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1135–44.\n\nLundberg, Scott M., and Su-In Lee. 2017. “A Unified Approach to Interpreting Model Predictions.” In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, edited by Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, and Roman Garnett, 4765–74. https://proceedings.neurips.cc/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html.\n\nColeman, Cody, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, and I. Zeki Yalniz. 2022. “Similarity Search for Efficient Active Learning and Search of Rare Concepts.” In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, the Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, 6402–10. AAAI Press. https://ojs.aaai.org/index.php/AAAI/article/view/20591.\nThere are many other methods in the wild. But the goal is the same. Refining the dataset and ensuring it is of the highest quality can reduce the training time required for models to converge. However, achieving this requires developing and implementing sophisticated methods, algorithms, and techniques that can clean, preprocess, and augment data while retaining the most informative samples. This is an ongoing challenge that will require continued research and innovation in machine learning.", "crumbs": [ "Deployment", "11  Benchmarking AI" @@ -1203,7 +1203,7 @@ "href": "contents/benchmarking/benchmarking.html#the-trifecta", "title": "11  Benchmarking AI", "section": "11.7 The Trifecta", - "text": "11.7 The Trifecta\nWhile system, model, and data benchmarks have traditionally been studied in isolation, there is a growing recognition that to understand and advance AI fully, we must take a more holistic view. By iterating between benchmarking systems, models, and datasets together, novel insights that are not apparent when these components are analyzed separately may emerge. System performance impacts model accuracy, model capabilities drive data needs, and data characteristics shape system requirements.\nBenchmarking the triad of system, model, and data in an integrated fashion will likely lead to discoveries about the co-design of AI systems, the generalization properties of models, and the role of data curation and quality in enabling performance. Rather than narrow benchmarks of individual components, the future of AI requires benchmarks that evaluate the symbiotic relationship between computing platforms, algorithms, and training data. This systems-level perspective will be critical to overcoming current limitations and unlocking the next level of AI capabilities.\nFigure 11.6 illustrates the many potential ways to interplay data benchmarking, model benchmarking, and system infrastructure benchmarking together. Exploring these intricate interactions is likely to uncover new optimization opportunities and enhancement capabilities. The data, model, and system benchmark triad offers a rich space for co-design and co-optimization.\n\n\n\n\n\n\nFigure 11.6: Benchmarking trifecta.\n\n\n\nWhile this integrated perspective represents an emerging trend, the field has much more to discover about the synergies and trade-offs between these components. As we iteratively benchmark combinations of data, models, and systems, new insights that remain hidden when these elements are studied in isolation will emerge. This multifaceted benchmarking approach charting the intersections of data, algorithms, and hardware promises to be a fruitful avenue for major progress in AI, even though it is still in its early stages.", + "text": "11.7 The Trifecta\nWhile system, model, and data benchmarks have traditionally been studied in isolation, there is a growing recognition that to understand and advance AI fully, we must take a more holistic view. By iterating between benchmarking systems, models, and datasets together, novel insights that are not apparent when these components are analyzed separately may emerge. System performance impacts model accuracy, model capabilities drive data needs, and data characteristics shape system requirements.\nBenchmarking the triad of system, model, and data in an integrated fashion will likely lead to discoveries about the co-design of AI systems, the generalization properties of models, and the role of data curation and quality in enabling performance. Rather than narrow benchmarks of individual components, the future of AI requires benchmarks that evaluate the symbiotic relationship between computing platforms, algorithms, and training data. This systems-level perspective will be critical to overcoming current limitations and unlocking the next level of AI capabilities.\nFigure 11.8 illustrates the many potential ways to interplay data benchmarking, model benchmarking, and system infrastructure benchmarking together. Exploring these intricate interactions is likely to uncover new optimization opportunities and enhancement capabilities. The data, model, and system benchmark triad offers a rich space for co-design and co-optimization.\n\n\n\n\n\n\nFigure 11.8: Benchmarking trifecta.\n\n\n\nWhile this integrated perspective represents an emerging trend, the field has much more to discover about the synergies and trade-offs between these components. As we iteratively benchmark combinations of data, models, and systems, new insights that remain hidden when these elements are studied in isolation will emerge. This multifaceted benchmarking approach charting the intersections of data, algorithms, and hardware promises to be a fruitful avenue for major progress in AI, even though it is still in its early stages.", "crumbs": [ "Deployment", "11  Benchmarking AI" @@ -3867,7 +3867,7 @@ "href": "references.html", "title": "References", "section": "", - "text": "Abadi, Martin, Andy Chu, Ian Goodfellow, H. Brendan McMahan, Ilya\nMironov, Kunal Talwar, and Li Zhang. 2016. “Deep Learning with\nDifferential Privacy.” In Proceedings of the 2016 ACM SIGSAC\nConference on Computer and Communications Security, 308–18. CCS\n’16. New York, NY, USA: ACM. https://doi.org/10.1145/2976749.2978318.\n\n\nAbdelkader, Ahmed, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi\nSchwarzschild, Manli Shu, Christoph Studer, and Chen Zhu. 2020.\n“Headless Horseman: Adversarial Attacks on Transfer\nLearning Models.” In ICASSP 2020 - 2020 IEEE International\nConference on Acoustics, Speech and Signal Processing (ICASSP),\n3087–91. IEEE. https://doi.org/10.1109/icassp40776.2020.9053181.\n\n\nAddepalli, Sravanti, B. S. Vivek, Arya Baburaj, Gaurang Sriramanan, and\nR. Venkatesh Babu. 2020. “Towards Achieving Adversarial Robustness\nby Enforcing Feature Consistency Across Bit Planes.” In 2020\nIEEE/CVF Conference on Computer Vision and Pattern Recognition\n(CVPR), 1020–29. IEEE. https://doi.org/10.1109/cvpr42600.2020.00110.\n\n\nAdolf, Robert, Saketh Rama, Brandon Reagen, Gu-yeon Wei, and David\nBrooks. 2016. “Fathom: Reference Workloads for Modern\nDeep Learning Methods.” In 2016 IEEE International Symposium\non Workload Characterization (IISWC), 1–10. IEEE; IEEE. https://doi.org/10.1109/iiswc.2016.7581275.\n\n\nAgarwal, Alekh, Alina Beygelzimer, Miroslav Dudı́k, John Langford, and\nHanna M. Wallach. 2018. “A Reductions Approach to Fair\nClassification.” In Proceedings of the 35th International\nConference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm,\nSweden, July 10-15, 2018, edited by Jennifer G. Dy and Andreas\nKrause, 80:60–69. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v80/agarwal18a.html.\n\n\nAgnesina, Anthony, Puranjay Rajvanshi, Tian Yang, Geraldo Pradipta,\nAustin Jiao, Ben Keller, Brucek Khailany, and Haoxing Ren. 2023.\n“AutoDMP: Automated DREAMPlace-Based Macro\nPlacement.” In Proceedings of the 2023 International\nSymposium on Physical Design, 149–57. ACM. https://doi.org/10.1145/3569052.3578923.\n\n\nAgrawal, Dakshi, Selcuk Baktir, Deniz Karakoyunlu, Pankaj Rohatgi, and\nBerk Sunar. 2007. “Trojan Detection Using\nIC Fingerprinting.” In 2007 IEEE Symposium on\nSecurity and Privacy (SP ’07), 29–45. Springer; IEEE. https://doi.org/10.1109/sp.2007.36.\n\n\nAhmadilivani, Mohammad Hasan, Mahdi Taheri, Jaan Raik, Masoud\nDaneshtalab, and Maksim Jenihhin. 2024. “A Systematic Literature\nReview on Hardware Reliability Assessment Methods for Deep Neural\nNetworks.” ACM Comput. Surv. 56 (6): 1–39. https://doi.org/10.1145/3638242.\n\n\nAledhari, Mohammed, Rehma Razzak, Reza M. Parizi, and Fahad Saeed. 2020.\n“Federated Learning: A Survey on Enabling\nTechnologies, Protocols, and Applications.” #IEEE_O_ACC#\n8: 140699–725. https://doi.org/10.1109/access.2020.3013541.\n\n\nAlghamdi, Wael, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalak,\nShahab Asoodeh, and Flavio Calmon. 2022. “Beyond Adult and\nCOMPAS: Fair Multi-Class Prediction via\nInformation Projection.” Adv. Neur. In. 35: 38747–60.\n\n\nAltayeb, Moez, Marco Zennaro, and Marcelo Rovai. 2022.\n“Classifying Mosquito Wingbeat Sound Using\nTinyML.” In Proceedings of the 2022 ACM\nConference on Information Technology for Social Good, 132–37. ACM.\nhttps://doi.org/10.1145/3524458.3547258.\n\n\nAmiel, Frederic, Christophe Clavier, and Michael Tunstall. 2006.\n“Fault Analysis of DPA-Resistant Algorithms.”\nIn International Workshop on Fault Diagnosis and Tolerance in\nCryptography, 223–36. Springer.\n\n\nAnsel, Jason, Edward Yang, Horace He, Natalia Gimelshein, Animesh Jain,\nMichael Voznesensky, Bin Bao, et al. 2024. “PyTorch\n2: Faster Machine Learning Through Dynamic Python Bytecode\nTransformation and Graph Compilation.” In Proceedings of the\n29th ACM International Conference on Architectural Support for\nProgramming Languages and Operating Systems, Volume 2, edited by\nHanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence\nd’Alché-Buc, Emily B. Fox, and Roman Garnett, 8024–35. ACM. https://doi.org/10.1145/3620665.3640366.\n\n\nAnthony, Lasse F. Wolff, Benjamin Kanding, and Raghavendra Selvan. 2020.\nICML Workshop on Challenges in Deploying and monitoring Machine Learning\nSystems.\n\n\nAntol, Stanislaw, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv\nBatra, C. Lawrence Zitnick, and Devi Parikh. 2015.\n“VQA: Visual Question Answering.”\nIn 2015 IEEE International Conference on Computer Vision\n(ICCV), 2425–33. IEEE. https://doi.org/10.1109/iccv.2015.279.\n\n\nAntonakakis, Manos, Tim April, Michael Bailey, Matt Bernhard, Elie\nBursztein, Jaime Cochran, Zakir Durumeric, et al. 2017.\n“Understanding the Mirai Botnet.” In 26th USENIX\nSecurity Symposium (USENIX Security 17), 1093–1110.\n\n\nArdila, Rosana, Megan Branson, Kelly Davis, Michael Kohler, Josh Meyer,\nMichael Henretty, Reuben Morais, Lindsay Saunders, Francis Tyers, and\nGregor Weber. 2020. “Common Voice: A\nMassively-Multilingual Speech Corpus.” In Proceedings of the\nTwelfth Language Resources and Evaluation Conference, 4218–22.\nMarseille, France: European Language Resources Association. https://aclanthology.org/2020.lrec-1.520.\n\n\nArifeen, Tooba, Abdus Sami Hassan, and Jeong-A Lee. 2020.\n“Approximate Triple Modular Redundancy: A\nSurvey.” #IEEE_O_ACC# 8: 139851–67. https://doi.org/10.1109/access.2020.3012673.\n\n\nAsonov, D., and R. Agrawal. 2004. “Keyboard Acoustic\nEmanations.” In IEEE Symposium on Security and Privacy, 2004.\nProceedings. 2004, 3–11. IEEE; IEEE. https://doi.org/10.1109/secpri.2004.1301311.\n\n\nAteniese, Giuseppe, Luigi V. Mancini, Angelo Spognardi, Antonio Villani,\nDomenico Vitali, and Giovanni Felici. 2015. “Hacking Smart\nMachines with Smarter Ones: How to Extract Meaningful Data\nfrom Machine Learning Classifiers.” Int. J. Secur. Netw.\n10 (3): 137. https://doi.org/10.1504/ijsn.2015.071829.\n\n\nAttia, Zachi I., Alan Sugrue, Samuel J. Asirvatham, Michael J. Ackerman,\nSuraj Kapa, Paul A. Friedman, and Peter A. Noseworthy. 2018.\n“Noninvasive Assessment of Dofetilide Plasma Concentration Using a\nDeep Learning (Neural Network) Analysis of the Surface\nElectrocardiogram: A Proof of Concept Study.”\nPLoS One 13 (8): e0201059. https://doi.org/10.1371/journal.pone.0201059.\n\n\nAygun, Sercan, Ece Olcay Gunes, and Christophe De Vleeschouwer. 2021.\n“Efficient and Robust Bitstream Processing in Binarised Neural\nNetworks.” Electron. Lett. 57 (5): 219–22. https://doi.org/10.1049/ell2.12045.\n\n\nBai, Tao, Jinqi Luo, Jun Zhao, Bihan Wen, and Qian Wang. 2021.\n“Recent Advances in Adversarial Training for Adversarial\nRobustness.” arXiv Preprint arXiv:2102.01356.\n\n\nBains, Sunny. 2020. “The Business of Building Brains.”\nNature Electronics 3 (7): 348–51. https://doi.org/10.1038/s41928-020-0449-1.\n\n\nBamoumen, Hatim, Anas Temouden, Nabil Benamar, and Yousra Chtouki. 2022.\n“How TinyML Can Be Leveraged to Solve Environmental\nProblems: A Survey.” In 2022 International\nConference on Innovation and Intelligence for Informatics, Computing,\nand Technologies (3ICT), 338–43. IEEE; IEEE. https://doi.org/10.1109/3ict56508.2022.9990661.\n\n\nBank, Dor, Noam Koenigstein, and Raja Giryes. 2023.\n“Autoencoders.” Machine Learning for Data Science\nHandbook: Data Mining and Knowledge Discovery Handbook, 353–74.\n\n\nBannon, Pete, Ganesh Venkataramanan, Debjit Das Sarma, and Emil Talpes.\n2019. “Computer and Redundancy Solution for the Full Self-Driving\nComputer.” In 2019 IEEE Hot Chips 31 Symposium (HCS),\n1–22. IEEE Computer Society; IEEE. https://doi.org/10.1109/hotchips.2019.8875645.\n\n\nBarenghi, Alessandro, Guido M. Bertoni, Luca Breveglieri, Mauro\nPellicioli, and Gerardo Pelosi. 2010. “Low Voltage Fault Attacks\nto AES.” In 2010 IEEE International Symposium on\nHardware-Oriented Security and Trust (HOST), 7–12. IEEE; IEEE. https://doi.org/10.1109/hst.2010.5513121.\n\n\nBarroso, Luiz André, Urs Hölzle, and Parthasarathy Ranganathan. 2019.\nThe Datacenter as a Computer: Designing Warehouse-Scale\nMachines. Springer International Publishing. https://doi.org/10.1007/978-3-031-01761-2.\n\n\nBau, David, Bolei Zhou, Aditya Khosla, Aude Oliva, and Antonio Torralba.\n2017. “Network Dissection: Quantifying\nInterpretability of Deep Visual Representations.” In 2017\nIEEE Conference on Computer Vision and Pattern Recognition (CVPR),\n3319–27. IEEE. https://doi.org/10.1109/cvpr.2017.354.\n\n\nBeaton, Albert E., and John W. Tukey. 1974. “The Fitting of Power\nSeries, Meaning Polynomials, Illustrated on Band-Spectroscopic\nData.” Technometrics 16 (2): 147. https://doi.org/10.2307/1267936.\n\n\nBeck, Nathaniel, and Simon Jackman. 1998. “Beyond Linearity by\nDefault: Generalized Additive Models.” Am. J.\nPolit. Sci. 42 (2): 596. https://doi.org/10.2307/2991772.\n\n\nBender, Emily M., and Batya Friedman. 2018. “Data Statements for\nNatural Language Processing: Toward Mitigating System Bias\nand Enabling Better Science.” Transactions of the Association\nfor Computational Linguistics 6 (December): 587–604. https://doi.org/10.1162/tacl_a_00041.\n\n\nBerger, Vance W, and YanYan Zhou. 2014.\n“Kolmogorovsmirnov Test:\nOverview.” Wiley Statsref: Statistics Reference\nOnline.\n\n\nBeyer, Lucas, Olivier J Hénaff, Alexander Kolesnikov, Xiaohua Zhai, and\nAäron van den Oord. 2020. “Are We Done with Imagenet?”\nArXiv Preprint abs/2006.07159. https://arxiv.org/abs/2006.07159.\n\n\nBhagoji, Arjun Nitin, Warren He, Bo Li, and Dawn Song. 2018.\n“Practical Black-Box Attacks on Deep Neural Networks Using\nEfficient Query Mechanisms.” In Proceedings of the European\nConference on Computer Vision (ECCV), 154–69.\n\n\nBhardwaj, Kshitij, Marton Havasi, Yuan Yao, David M. Brooks, José Miguel\nHernández-Lobato, and Gu-Yeon Wei. 2020. “A Comprehensive\nMethodology to Determine Optimal Coherence Interfaces for\nMany-Accelerator SoCs.” In Proceedings of the\nACM/IEEE International Symposium on Low Power Electronics and\nDesign, 145–50. ACM. https://doi.org/10.1145/3370748.3406564.\n\n\nBiega, Asia J., Peter Potash, Hal Daumé, Fernando Diaz, and Michèle\nFinck. 2020. “Operationalizing the Legal Principle of Data\nMinimization for Personalization.” In Proceedings of the 43rd\nInternational ACM SIGIR Conference on Research and Development in\nInformation Retrieval, edited by Jimmy Huang, Yi Chang, Xueqi\nCheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, and Yiqun Liu, 399–408.\nACM. https://doi.org/10.1145/3397271.3401034.\n\n\nBiggio, Battista, Blaine Nelson, and Pavel Laskov. 2012.\n“Poisoning Attacks Against Support Vector Machines.” In\nProceedings of the 29th International Conference on Machine\nLearning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1,\n2012. icml.cc / Omnipress. http://icml.cc/2012/papers/880.pdf.\n\n\nBiggs, John, James Myers, Jedrzej Kufel, Emre Ozer, Simon Craske, Antony\nSou, Catherine Ramsdale, Ken Williamson, Richard Price, and Scott White.\n2021. “A Natively Flexible 32-Bit Arm Microprocessor.”\nNature 595 (7868): 532–36. https://doi.org/10.1038/s41586-021-03625-w.\n\n\nBinkert, Nathan, Bradford Beckmann, Gabriel Black, Steven K. Reinhardt,\nAli Saidi, Arkaprava Basu, Joel Hestness, et al. 2011. “The Gem5\nSimulator.” ACM SIGARCH Computer Architecture News 39\n(2): 1–7. https://doi.org/10.1145/2024716.2024718.\n\n\nBohr, Adam, and Kaveh Memarzadeh. 2020. “The Rise of Artificial\nIntelligence in Healthcare Applications.” In Artificial\nIntelligence in Healthcare, 25–60. Elsevier. https://doi.org/10.1016/b978-0-12-818438-7.00002-2.\n\n\nBolchini, Cristiana, Luca Cassano, Antonio Miele, and Alessandro Toschi.\n2023. “Fast and Accurate Error Simulation for CNNs\nAgainst Soft Errors.” IEEE Trans. Comput. 72 (4):\n984–97. https://doi.org/10.1109/tc.2022.3184274.\n\n\nBondi, Elizabeth, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital\nShah, Robert Hannaford, Arvind Iyer, Lucas Joppa, and Milind Tambe.\n2018. “Near Real-Time Detection of Poachers from Drones in\nAirSim.” In Proceedings of the Twenty-Seventh\nInternational Joint Conference on Artificial Intelligence, edited\nby Jérôme Lang, 5814–16. International Joint Conferences on Artificial\nIntelligence Organization. https://doi.org/10.24963/ijcai.2018/847.\n\n\nBourtoule, Lucas, Varun Chandrasekaran, Christopher A. Choquette-Choo,\nHengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas\nPapernot. 2021. “Machine Unlearning.” In 2021 IEEE\nSymposium on Security and Privacy (SP), 141–59. IEEE; IEEE. https://doi.org/10.1109/sp40001.2021.00019.\n\n\nBreier, Jakub, Xiaolu Hou, Dirmanto Jap, Lei Ma, Shivam Bhasin, and Yang\nLiu. 2018. “Deeplaser: Practical Fault Attack on Deep\nNeural Networks.” ArXiv Preprint abs/1806.05859. https://arxiv.org/abs/1806.05859.\n\n\nBrown, Tom B., Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan,\nPrafulla Dhariwal, Arvind Neelakantan, et al. 2020. “Language\nModels Are Few-Shot Learners.” In Advances in Neural\nInformation Processing Systems 33: Annual Conference on Neural\nInformation Processing Systems 2020, NeurIPS 2020, December 6-12, 2020,\nVirtual, edited by Hugo Larochelle, Marc’Aurelio Ranzato, Raia\nHadsell, Maria-Florina Balcan, and Hsuan-Tien Lin. https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html.\n\n\nBuolamwini, Joy, and Timnit Gebru. 2018. “Gender Shades:\nIntersectional Accuracy Disparities in Commercial Gender\nClassification.” In Conference on Fairness, Accountability\nand Transparency, 77–91. PMLR.\n\n\nBurnet, David, and Richard Thomas. 1989. “Spycatcher:\nThe Commodification of Truth.” J. Law Soc.\n16 (2): 210. https://doi.org/10.2307/1410360.\n\n\nBurr, Geoffrey W., Matthew J. BrightSky, Abu Sebastian, Huai-Yu Cheng,\nJau-Yi Wu, Sangbum Kim, Norma E. Sosa, et al. 2016. “Recent\nProgress in Phase-Change<?Pub _Newline ?>Memory Technology.”\nIEEE Journal on Emerging and Selected Topics in Circuits and\nSystems 6 (2): 146–62. https://doi.org/10.1109/jetcas.2016.2547718.\n\n\nBushnell, Michael L, and Vishwani D Agrawal. 2002. “Built-in\nSelf-Test.” Essentials of Electronic Testing for Digital,\nMemory and Mixed-Signal VLSI Circuits, 489–548.\n\n\nBuyya, Rajkumar, Anton Beloglazov, and Jemal Abawajy. 2010.\n“Energy-Efficient Management of Data Center Resources for Cloud\nComputing: A Vision, Architectural Elements, and Open\nChallenges.” https://arxiv.org/abs/1006.0308.\n\n\nCai, Carrie J., Emily Reif, Narayan Hegde, Jason Hipp, Been Kim, Daniel\nSmilkov, Martin Wattenberg, et al. 2019. “Human-Centered Tools for\nCoping with Imperfect Algorithms During Medical Decision-Making.”\nIn Proceedings of the 2019 CHI Conference on Human Factors in\nComputing Systems, edited by Jennifer G. Dy and Andreas Krause,\n80:2673–82. Proceedings of Machine Learning Research. ACM. https://doi.org/10.1145/3290605.3300234.\n\n\nCai, Han, Chuang Gan, Ligeng Zhu, and Song Han. 2020.\n“TinyTL: Reduce Memory, Not Parameters\nfor Efficient on-Device Learning.” In Advances in Neural\nInformation Processing Systems 33: Annual Conference on Neural\nInformation Processing Systems 2020, NeurIPS 2020, December 6-12, 2020,\nVirtual, edited by Hugo Larochelle, Marc’Aurelio Ranzato, Raia\nHadsell, Maria-Florina Balcan, and Hsuan-Tien Lin. https://proceedings.neurips.cc/paper/2020/hash/81f7acabd411274fcf65ce2070ed568a-Abstract.html.\n\n\nCai, Han, Ligeng Zhu, and Song Han. 2019.\n“ProxylessNAS: Direct Neural\nArchitecture Search on Target Task and Hardware.” In 7th\nInternational Conference on Learning Representations, ICLR 2019, New\nOrleans, LA, USA, May 6-9, 2019. OpenReview.net. https://openreview.net/forum?id=HylVB3AqYm.\n\n\nCalvo, Rafael A, Dorian Peters, Karina Vold, and Richard M Ryan. 2020.\n“Supporting Human Autonomy in AI Systems:\nA Framework for Ethical Enquiry.” Ethics of\nDigital Well-Being: A Multidisciplinary Approach, 31–54.\n\n\nCarlini, Nicholas, Pratyush Mishra, Tavish Vaidya, Yuankai Zhang, Micah\nSherr, Clay Shields, David Wagner, and Wenchao Zhou. 2016. “Hidden\nVoice Commands.” In 25th USENIX Security Symposium (USENIX\nSecurity 16), 513–30.\n\n\nCarta, Salvatore, Alessandro Sebastian Podda, Diego Reforgiato Recupero,\nand Roberto Saia. 2020. “A Local Feature Engineering Strategy to\nImprove Network Anomaly Detection.” Future Internet 12\n(10): 177. https://doi.org/10.3390/fi12100177.\n\n\nCavoukian, Ann. 2009. “Privacy by Design.” Office of\nthe Information and Privacy Commissioner.\n\n\nCenci, Marcelo Pilotto, Tatiana Scarazzato, Daniel Dotto Munchen, Paula\nCristina Dartora, Hugo Marcelo Veit, Andrea Moura Bernardes, and Pablo\nR. Dias. 2021. “Eco-Friendly\nElectronicsA Comprehensive Review.”\nAdv. Mater. Technol. 7 (2): 2001263. https://doi.org/10.1002/admt.202001263.\n\n\nChallenge, WEF Net-Zero. 2021. “The Supply Chain\nOpportunity.” In World Economic Forum: Geneva,\nSwitzerland.\n\n\nChandola, Varun, Arindam Banerjee, and Vipin Kumar. 2009. “Anomaly\nDetection: A Survey.” ACM Comput. Surv. 41 (3): 1–58. https://doi.org/10.1145/1541880.1541882.\n\n\nChapelle, O., B. Scholkopf, and A. Zien Eds. 2009.\n“Semi-Supervised Learning (Chapelle, O.\nEt Al., Eds.; 2006) [Book Reviews].” IEEE Trans.\nNeural Networks 20 (3): 542–42. https://doi.org/10.1109/tnn.2009.2015974.\n\n\nChen, Chaofan, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, and\nJonathan Su. 2019. “This Looks Like That: Deep\nLearning for Interpretable Image Recognition.” In Advances in\nNeural Information Processing Systems 32: Annual Conference on Neural\nInformation Processing Systems 2019, NeurIPS 2019, December 8-14, 2019,\nVancouver, BC, Canada, edited by Hanna M. Wallach, Hugo Larochelle,\nAlina Beygelzimer, Florence d’Alché-Buc, Emily B. Fox, and Roman\nGarnett, 8928–39. https://proceedings.neurips.cc/paper/2019/hash/adf7ee2dcf142b0e11888e72b43fcb75-Abstract.html.\n\n\nChen, Emma, Shvetank Prakash, Vijay Janapa Reddi, David Kim, and Pranav\nRajpurkar. 2023. “A Framework for Integrating Artificial\nIntelligence for Clinical Care with Continuous Therapeutic\nMonitoring.” Nat. Biomed. Eng., November. https://doi.org/10.1038/s41551-023-01115-0.\n\n\nChen, H.-W. 2006. “Gallium, Indium, and Arsenic Pollution of\nGroundwater from a Semiconductor Manufacturing Area of\nTaiwan.” B. Environ. Contam. Tox. 77 (2):\n289–96. https://doi.org/10.1007/s00128-006-1062-3.\n\n\nChen, Tianqi, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan,\nHaichen Shen, Meghan Cowan, et al. 2018. “TVM:\nAn Automated End-to-End Optimizing Compiler for Deep\nLearning.” In 13th USENIX Symposium on Operating Systems\nDesign and Implementation (OSDI 18), 578–94.\n\n\nChen, Tianqi, Bing Xu, Chiyuan Zhang, and Carlos Guestrin. 2016.\n“Training Deep Nets with Sublinear Memory Cost.” ArXiv\nPreprint abs/1604.06174. https://arxiv.org/abs/1604.06174.\n\n\nChen, Zhiyong, and Shugong Xu. 2023. “Learning\nDomain-Heterogeneous Speaker Recognition Systems with Personalized\nContinual Federated Learning.” EURASIP Journal on Audio,\nSpeech, and Music Processing 2023 (1): 33. https://doi.org/10.1186/s13636-023-00299-2.\n\n\nChen, Zitao, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben.\n2019. “<i>BinFI</i>: An Efficient Fault Injector for\nSafety-Critical Machine Learning Systems.” In Proceedings of\nthe International Conference for High Performance Computing, Networking,\nStorage and Analysis. SC ’19. New York, NY, USA: ACM. https://doi.org/10.1145/3295500.3356177.\n\n\nChen, Zitao, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik\nPattabiraman, and Nathan DeBardeleben. 2020.\n“TensorFI: A Flexible Fault Injection\nFramework for TensorFlow Applications.” In 2020\nIEEE 31st International Symposium on Software Reliability Engineering\n(ISSRE), 426–35. IEEE; IEEE. https://doi.org/10.1109/issre5003.2020.00047.\n\n\nCheng, Eric, Shahrzad Mirkhani, Lukasz G. Szafaryn, Chen-Yong Cher,\nHyungmin Cho, Kevin Skadron, Mircea R. Stan, et al. 2016. “Clear:\n<U>c</u>\nRoss <u>-l</u>\nAyer <u>e</u>\nXploration for <u>a</u>\nRchitecting <u>r</u>\nEsilience - Combining Hardware and Software Techniques to Tolerate Soft\nErrors in Processor Cores.” In Proceedings of the 53rd Annual\nDesign Automation Conference, 1–6. ACM. https://doi.org/10.1145/2897937.2897996.\n\n\nCheng, Yu, Duo Wang, Pan Zhou, and Tao Zhang. 2018. “Model\nCompression and Acceleration for Deep Neural Networks: The\nPrinciples, Progress, and Challenges.” IEEE Signal Process\nMag. 35 (1): 126–36. https://doi.org/10.1109/msp.2017.2765695.\n\n\nChi, Ping, Shuangchen Li, Cong Xu, Tao Zhang, Jishen Zhao, Yongpan Liu,\nYu Wang, and Yuan Xie. 2016. “Prime: A Novel Processing-in-Memory\nArchitecture for Neural Network Computation in ReRAM-Based Main\nMemory.” ACM SIGARCH Computer Architecture News 44 (3):\n27–39. https://doi.org/10.1145/3007787.3001140.\n\n\nChollet, François. 2018. “Introduction to Keras.” March\n9th.\n\n\nChristiano, Paul F., Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg,\nand Dario Amodei. 2017. “Deep Reinforcement Learning from Human\nPreferences.” In Advances in Neural Information Processing\nSystems 30: Annual Conference on Neural Information Processing Systems\n2017, December 4-9, 2017, Long Beach, CA, USA, edited by Isabelle\nGuyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S.\nV. N. Vishwanathan, and Roman Garnett, 4299–4307. https://proceedings.neurips.cc/paper/2017/hash/d5e2c0adad503c91f91df240d0cd4e49-Abstract.html.\n\n\nChu, Grace, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton,\nPieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, and Andrew\nHoward. 2021. “Discovering Multi-Hardware Mobile Models via\nArchitecture Search.” In 2021 IEEE/CVF Conference on Computer\nVision and Pattern Recognition Workshops (CVPRW), 3022–31. IEEE. https://doi.org/10.1109/cvprw53098.2021.00337.\n\n\nChua, L. 1971. “Memristor-the Missing Circuit Element.”\n#IEEE_J_CT# 18 (5): 507–19. https://doi.org/10.1109/tct.1971.1083337.\n\n\nChung, Jae-Won, Yile Gu, Insu Jang, Luoxi Meng, Nikhil Bansal, and\nMosharaf Chowdhury. 2023. “Perseus: Removing Energy\nBloat from Large Model Training.” ArXiv Preprint\nabs/2312.06902. https://arxiv.org/abs/2312.06902.\n\n\nCohen, Maxime C., Ruben Lobel, and Georgia Perakis. 2016. “The\nImpact of Demand Uncertainty on Consumer Subsidies for Green Technology\nAdoption.” Manage. Sci. 62 (5): 1235–58. https://doi.org/10.1287/mnsc.2015.2173.\n\n\nColeman, Cody, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter\nBailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei\nZaharia, and I. Zeki Yalniz. 2022. “Similarity Search for\nEfficient Active Learning and Search of Rare Concepts.” In\nThirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022,\nThirty-Fourth Conference on Innovative Applications of Artificial\nIntelligence, IAAI 2022, the Twelveth Symposium on Educational Advances\nin Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March\n1, 2022, 6402–10. AAAI Press. https://ojs.aaai.org/index.php/AAAI/article/view/20591.\n\n\nColeman, Cody, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao,\nJian Zhang, Peter Bailis, Kunle Olukotun, Chris Ré, and Matei Zaharia.\n2019. “Analysis of DAWNBench, a Time-to-Accuracy\nMachine Learning Performance Benchmark.” ACM SIGOPS Operating\nSystems Review 53 (1): 14–25. https://doi.org/10.1145/3352020.3352024.\n\n\nConstantinescu, Cristian. 2008. “Intermittent Faults and Effects\non Reliability of Integrated Circuits.” In 2008 Annual\nReliability and Maintainability Symposium, 370–74. IEEE; IEEE. https://doi.org/10.1109/rams.2008.4925824.\n\n\nCooper, Tom, Suzanne Fallender, Joyann Pafumi, Jon Dettling, Sebastien\nHumbert, and Lindsay Lessard. 2011. “A Semiconductor Company’s\nExamination of Its Water Footprint Approach.” In Proceedings\nof the 2011 IEEE International Symposium on Sustainable Systems and\nTechnology, 1–6. IEEE; IEEE. https://doi.org/10.1109/issst.2011.5936865.\n\n\nCope, Gord. 2009. “Pure Water, Semiconductors and the\nRecession.” Global Water Intelligence 10 (10).\n\n\nCourbariaux, Matthieu, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and\nYoshua Bengio. 2016. “Binarized Neural Networks:\nTraining Deep Neural Networks with Weights and Activations\nConstrained to+ 1 or-1.” arXiv Preprint\narXiv:1602.02830.\n\n\nD’ignazio, Catherine, and Lauren F Klein. 2023. Data Feminism.\nMIT press.\n\n\nDahl, George E, Frank Schneider, Zachary Nado, Naman Agarwal,\nChandramouli Shama Sastry, Philipp Hennig, Sourabh Medapati, et al.\n2021. “CSF Findings in Acute NMDAR and\nLGI1 AntibodyAssociated\nAutoimmune Encephalitis.” Neurology Neuroimmunology &Amp;\nNeuroinflammation 8 (6). https://doi.org/10.1212/nxi.0000000000001086.\n\n\nDarvish Rouhani, Bita, Azalia Mirhoseini, and Farinaz Koushanfar. 2017.\n“TinyDL: Just-in-time\nDeep Learning Solution for Constrained Embedded Systems.” In\n2017 IEEE International Symposium on Circuits and Systems\n(ISCAS), 1–4. IEEE. https://doi.org/10.1109/iscas.2017.8050343.\n\n\nDavarzani, Samaneh, David Saucier, Purva Talegaonkar, Erin Parker, Alana\nTurner, Carver Middleton, Will Carroll, et al. 2023. “Closing the\nWearable Gap: Footankle\nKinematic Modeling via Deep Learning Models Based on a Smart Sock\nWearable.” Wearable Technologies 4. https://doi.org/10.1017/wtc.2023.3.\n\n\nDavid, Robert, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat\nJeffries, Jian Li, Nick Kreeger, et al. 2021. “Tensorflow Lite\nMicro: Embedded Machine Learning for Tinyml\nSystems.” Proceedings of Machine Learning and Systems 3:\n800–811.\n\n\nDavies, Emma. 2011. “Endangered Elements: Critical\nThinking.” https://www.rsc.org/images/Endangered\\%20Elements\\%20-\\%20Critical\\%20Thinking\\_tcm18-196054.pdf.\n\n\nDavies, Mike, Narayan Srinivasa, Tsung-Han Lin, Gautham Chinya,\nYongqiang Cao, Sri Harsha Choday, Georgios Dimou, et al. 2018.\n“Loihi: A Neuromorphic Manycore Processor with\non-Chip Learning.” IEEE Micro 38 (1): 82–99. https://doi.org/10.1109/mm.2018.112130359.\n\n\nDavies, Mike, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya,\nGabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, and Sumedh R.\nRisbud. 2021. “Advancing Neuromorphic Computing with Loihi:\nA Survey of Results and Outlook.” Proc.\nIEEE 109 (5): 911–34. https://doi.org/10.1109/jproc.2021.3067593.\n\n\nDavis, Jacqueline, Daniel Bizo, Andy Lawrence, Owen Rogers, and Max\nSmolaks. 2022. “Uptime Institute Global Data Center Survey\n2022.” Uptime Institute.\n\n\nDayarathna, Miyuru, Yonggang Wen, and Rui Fan. 2016. “Data Center\nEnergy Consumption Modeling: A Survey.” IEEE\nCommunications Surveys &Amp; Tutorials 18 (1): 732–94. https://doi.org/10.1109/comst.2015.2481183.\n\n\nDean, Jeffrey, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc\nV. Le, Mark Z. Mao, et al. 2012. “Large Scale Distributed Deep\nNetworks.” In Advances in Neural Information Processing\nSystems 25: 26th Annual Conference on Neural Information Processing\nSystems 2012. Proceedings of a Meeting Held December 3-6, 2012, Lake\nTahoe, Nevada, United States, edited by Peter L. Bartlett, Fernando\nC. N. Pereira, Christopher J. C. Burges, Léon Bottou, and Kilian Q.\nWeinberger, 1232–40. https://proceedings.neurips.cc/paper/2012/hash/6aca97005c68f1206823815f66102863-Abstract.html.\n\n\nDeng, Jia, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Fei-Fei Li.\n2009. “ImageNet: A Large-Scale\nHierarchical Image Database.” In 2009 IEEE Conference on\nComputer Vision and Pattern Recognition, 248–55. IEEE. https://doi.org/10.1109/cvpr.2009.5206848.\n\n\nDesai, Tanvi, Felix Ritchie, Richard Welpton, et al. 2016. “Five\nSafes: Designing Data Access for Research.”\nEconomics Working Paper Series 1601: 28.\n\n\nDevlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019.\n“BERT: Pre-training of\nDeep Bidirectional Transformers for Language Understanding.” In\nProceedings of the 2019 Conference of the North, 4171–86.\nMinneapolis, Minnesota: Association for Computational Linguistics. https://doi.org/10.18653/v1/n19-1423.\n\n\nDhar, Sauptik, Junyao Guo, Jiayi (Jason) Liu, Samarth Tripathi, Unmesh\nKurup, and Mohak Shah. 2021. “A Survey of on-Device Machine\nLearning: An Algorithms and Learning Theory Perspective.” ACM\nTransactions on Internet of Things 2 (3): 1–49. https://doi.org/10.1145/3450494.\n\n\nDong, Xin, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T.\nKung, and Ziyun Li. 2022. “SplitNets:\nDesigning Neural Architectures for Efficient Distributed\nComputing on Head-Mounted Systems.” In 2022 IEEE/CVF\nConference on Computer Vision and Pattern Recognition (CVPR),\n12549–59. IEEE. https://doi.org/10.1109/cvpr52688.2022.01223.\n\n\nDongarra, Jack J. 2009. “The Evolution of High Performance\nComputing on System z.” IBM J. Res. Dev. 53: 3–4.\n\n\nDuarte, Javier, Nhan Tran, Ben Hawks, Christian Herwig, Jules Muhizi,\nShvetank Prakash, and Vijay Janapa Reddi. 2022.\n“FastML Science Benchmarks: Accelerating\nReal-Time Scientific Edge Machine Learning.” ArXiv\nPreprint abs/2207.07958. https://arxiv.org/abs/2207.07958.\n\n\nDuchi, John C., Elad Hazan, and Yoram Singer. 2010. “Adaptive\nSubgradient Methods for Online Learning and Stochastic\nOptimization.” In COLT 2010 - the 23rd Conference on Learning\nTheory, Haifa, Israel, June 27-29, 2010, edited by Adam Tauman\nKalai and Mehryar Mohri, 257–69. Omnipress. http://colt2010.haifa.il.ibm.com/papers/COLT2010proceedings.pdf\\#page=265.\n\n\nDuisterhof, Bardienus P, Srivatsan Krishnan, Jonathan J Cruz, Colby R\nBanbury, William Fu, Aleksandra Faust, Guido CHE de Croon, and Vijay\nJanapa Reddi. 2019. “Learning to Seek: Autonomous\nSource Seeking with Deep Reinforcement Learning Onboard a Nano Drone\nMicrocontroller.” ArXiv Preprint abs/1909.11236. https://arxiv.org/abs/1909.11236.\n\n\nDuisterhof, Bardienus P., Shushuai Li, Javier Burgues, Vijay Janapa\nReddi, and Guido C. H. E. de Croon. 2021. “Sniffy Bug:\nA Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in\nCluttered Environments.” In 2021 IEEE/RSJ International\nConference on Intelligent Robots and Systems (IROS), 9099–9106.\nIEEE; IEEE. https://doi.org/10.1109/iros51168.2021.9636217.\n\n\nDwork, Cynthia, Frank McSherry, Kobbi Nissim, and Adam Smith. 2006.\n“Calibrating Noise to Sensitivity in Private Data\nAnalysis.” In Theory of Cryptography, edited by Shai\nHalevi and Tal Rabin, 265–84. Berlin, Heidelberg: Springer Berlin\nHeidelberg.\n\n\nDwork, Cynthia, and Aaron Roth. 2013. “The Algorithmic Foundations\nof Differential Privacy.” Foundations and Trends\nin Theoretical Computer Science 9 (3-4): 211–407. https://doi.org/10.1561/0400000042.\n\n\nEbrahimi, Khosrow, Gerard F. Jones, and Amy S. Fleischer. 2014. “A\nReview of Data Center Cooling Technology, Operating Conditions and the\nCorresponding Low-Grade Waste Heat Recovery Opportunities.”\nRenewable Sustainable Energy Rev. 31 (March): 622–38. https://doi.org/10.1016/j.rser.2013.12.007.\n\n\nEgwutuoha, Ifeanyi P., David Levy, Bran Selic, and Shiping Chen. 2013.\n“A Survey of Fault Tolerance Mechanisms and Checkpoint/Restart\nImplementations for High Performance Computing Systems.” The\nJournal of Supercomputing 65 (3): 1302–26. https://doi.org/10.1007/s11227-013-0884-0.\n\n\nEisenman, Assaf, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere,\nRaghuraman Krishnamoorthi, Krishnakumar Nair, Misha Smelyanskiy, and\nMurali Annavaram. 2022. “Check-n-Run: A Checkpointing\nSystem for Training Deep Learning Recommendation Models.” In\n19th USENIX Symposium on Networked Systems Design and Implementation\n(NSDI 22), 929–43.\n\n\nEldan, Ronen, and Mark Russinovich. 2023. “Who’s Harry Potter?\nApproximate Unlearning in LLMs.” ArXiv\nPreprint abs/2310.02238. https://arxiv.org/abs/2310.02238.\n\n\nEl-Rayis, A. O. 2014. “Reconfigurable Architectures for the Next\nGeneration of Mobile Device Telecommunications Systems.” :\nhttps://www.researchgate.net/publication/292608967.\n\n\nEshraghian, Jason K., Max Ward, Emre O. Neftci, Xinxin Wang, Gregor\nLenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, and Wei D. Lu.\n2023. “Training Spiking Neural Networks Using Lessons from Deep\nLearning.” Proc. IEEE 111 (9): 1016–54. https://doi.org/10.1109/jproc.2023.3308088.\n\n\nEsteva, Andre, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M.\nSwetter, Helen M. Blau, and Sebastian Thrun. 2017.\n“Dermatologist-Level Classification of Skin Cancer with Deep\nNeural Networks.” Nature 542 (7639): 115–18. https://doi.org/10.1038/nature21056.\n\n\nEykholt, Kevin, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati,\nChaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song. 2017.\n“Robust Physical-World Attacks on Deep Learning Models.”\nArXiv Preprint abs/1707.08945. https://arxiv.org/abs/1707.08945.\n\n\nFahim, Farah, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo\nJindariani, Nhan Tran, Luca P. Carloni, et al. 2021. “Hls4ml:\nAn Open-Source Codesign Workflow to Empower Scientific\nLow-Power Machine Learning Devices.” https://arxiv.org/abs/2103.05579.\n\n\nFarah, Martha J. 2005. “Neuroethics: The Practical\nand the Philosophical.” Trends Cogn. Sci. 9 (1): 34–40.\nhttps://doi.org/10.1016/j.tics.2004.12.001.\n\n\nFarwell, James P., and Rafal Rohozinski. 2011. “Stuxnet and the\nFuture of Cyber War.” Survival 53 (1): 23–40. https://doi.org/10.1080/00396338.2011.555586.\n\n\nFowers, Jeremy, Kalin Ovtcharov, Michael Papamichael, Todd Massengill,\nMing Liu, Daniel Lo, Shlomi Alkalay, et al. 2018. “A Configurable\nCloud-Scale DNN Processor for Real-Time\nAI.” In 2018 ACM/IEEE 45th Annual International\nSymposium on Computer Architecture (ISCA), 1–14. IEEE; IEEE. https://doi.org/10.1109/isca.2018.00012.\n\n\nFrancalanza, Adrian, Luca Aceto, Antonis Achilleos, Duncan Paul Attard,\nIan Cassar, Dario Della Monica, and Anna Ingólfsdóttir. 2017. “A\nFoundation for Runtime Monitoring.” In International\nConference on Runtime Verification, 8–29. Springer.\n\n\nFrankle, Jonathan, and Michael Carbin. 2019. “The Lottery Ticket\nHypothesis: Finding Sparse, Trainable Neural\nNetworks.” In 7th International Conference on Learning\nRepresentations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019.\nOpenReview.net. https://openreview.net/forum?id=rJl-b3RcF7.\n\n\nFriedman, Batya. 1996. “Value-Sensitive Design.”\nInteractions 3 (6): 16–23. https://doi.org/10.1145/242485.242493.\n\n\nFurber, Steve. 2016. “Large-Scale Neuromorphic Computing\nSystems.” J. Neural Eng. 13 (5): 051001. https://doi.org/10.1088/1741-2560/13/5/051001.\n\n\nFursov, Ivan, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun,\nRodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey\nZaytsev, and Evgeny Burnaev. 2021. “Adversarial Attacks on Deep\nModels for Financial Transaction Records.” In Proceedings of\nthe 27th ACM SIGKDD Conference on Knowledge Discovery &Amp; Data\nMining, 2868–78. ACM. https://doi.org/10.1145/3447548.3467145.\n\n\nGale, Trevor, Erich Elsen, and Sara Hooker. 2019. “The State of\nSparsity in Deep Neural Networks.” ArXiv Preprint\nabs/1902.09574. https://arxiv.org/abs/1902.09574.\n\n\nGandolfi, Karine, Christophe Mourtel, and Francis Olivier. 2001.\n“Electromagnetic Analysis: Concrete Results.”\nIn Cryptographic Hardware and Embedded SystemsCHES\n2001: Third International Workshop Paris, France, May 1416,\n2001 Proceedings 3, 251–61. Springer.\n\n\nGannot, G., and M. Ligthart. 1994. “Verilog HDL Based\nFPGA Design.” In International Verilog HDL\nConference, 86–92. IEEE. https://doi.org/10.1109/ivc.1994.323743.\n\n\nGao, Yansong, Said F. Al-Sarawi, and Derek Abbott. 2020. “Physical\nUnclonable Functions.” Nature Electronics 3 (2): 81–91.\nhttps://doi.org/10.1038/s41928-020-0372-5.\n\n\nGates, Byron D. 2009. “Flexible Electronics.”\nScience 323 (5921): 1566–67. https://doi.org/10.1126/science.1171230.\n\n\nGebru, Timnit, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman\nVaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. 2021.\n“Datasheets for Datasets.” Commun. ACM 64 (12):\n86–92. https://doi.org/10.1145/3458723.\n\n\nGeiger, Atticus, Hanson Lu, Thomas Icard, and Christopher Potts. 2021.\n“Causal Abstractions of Neural Networks.” In Advances\nin Neural Information Processing Systems 34: Annual Conference on Neural\nInformation Processing Systems 2021, NeurIPS 2021, December 6-14, 2021,\nVirtual, edited by Marc’Aurelio Ranzato, Alina Beygelzimer, Yann N.\nDauphin, Percy Liang, and Jennifer Wortman Vaughan, 9574–86. https://proceedings.neurips.cc/paper/2021/hash/4f5c422f4d49a5a807eda27434231040-Abstract.html.\n\n\nGholami, Dong Kim, Mahoney Yao, and Keutzer. 2021. “A Survey of\nQuantization Methods for Efficient Neural Network Inference).”\nArXiv Preprint. https://arxiv.org/abs/2103.13630.\n\n\nGlorot, Xavier, and Yoshua Bengio. 2010. “Understanding the\nDifficulty of Training Deep Feedforward Neural Networks.” In\nProceedings of the Thirteenth International Conference on Artificial\nIntelligence and Statistics. https://proceedings.mlr.press/v9/glorot10a.html.\n\n\nGnad, Dennis R. E., Fabian Oboril, and Mehdi B. Tahoori. 2017.\n“Voltage Drop-Based Fault Attacks on FPGAs Using\nValid Bitstreams.” In 2017 27th International Conference on\nField Programmable Logic and Applications (FPL), 1–7. IEEE; IEEE.\nhttps://doi.org/10.23919/fpl.2017.8056840.\n\n\nGoodfellow, Ian, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David\nWarde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2020.\n“Generative Adversarial Networks.” Commun. ACM 63\n(11): 139–44. https://doi.org/10.1145/3422622.\n\n\nGoodyear, Victoria A. 2017. “Social Media, Apps and Wearable\nTechnologies: Navigating Ethical Dilemmas and\nProcedures.” Qualitative Research in Sport, Exercise and\nHealth 9 (3): 285–302. https://doi.org/10.1080/2159676x.2017.1303790.\n\n\nGoogle. n.d. “Information Quality Content Moderation.” https://blog.google/documents/83/.\n\n\nGordon, Ariel, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang,\nand Edward Choi. 2018. “MorphNet: Fast\n&Amp; Simple Resource-Constrained Structure Learning of Deep\nNetworks.” In 2018 IEEE/CVF Conference on Computer Vision and\nPattern Recognition, 1586–95. IEEE. https://doi.org/10.1109/cvpr.2018.00171.\n\n\nGräfe, Ralf, Qutub Syed Sha, Florian Geissler, and Michael Paulitsch.\n2023. “Large-Scale Application of Fault Injection into\nPyTorch Models -an Extension to PyTorchFI for\nValidation Efficiency.” In 2023 53rd Annual IEEE/IFIP\nInternational Conference on Dependable Systems and Networks -\nSupplemental Volume (DSN-s), 56–62. IEEE; IEEE. https://doi.org/10.1109/dsn-s58398.2023.00025.\n\n\nGreengard, Samuel. 2015. The Internet of Things. The MIT Press.\nhttps://doi.org/10.7551/mitpress/10277.001.0001.\n\n\nGrossman, Elizabeth. 2007. High Tech Trash: Digital\nDevices, Hidden Toxics, and Human Health. Island press.\n\n\nGruslys, Audrunas, Rémi Munos, Ivo Danihelka, Marc Lanctot, and Alex\nGraves. 2016. “Memory-Efficient Backpropagation Through\nTime.” In Advances in Neural Information Processing Systems\n29: Annual Conference on Neural Information Processing Systems 2016,\nDecember 5-10, 2016, Barcelona, Spain, edited by Daniel D. Lee,\nMasashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, and Roman Garnett,\n4125–33. https://proceedings.neurips.cc/paper/2016/hash/a501bebf79d570651ff601788ea9d16d-Abstract.html.\n\n\nGu, Ivy. 2023. “Deep Learning Model Compression (Ii) by Ivy Gu\nMedium.” https://ivygdy.medium.com/deep-learning-model-compression-ii-546352ea9453.\n\n\nGuo, Chuan, Jacob Gardner, Yurong You, Andrew Gordon Wilson, and Kilian\nWeinberger. 2019. “Simple Black-Box Adversarial Attacks.”\nIn International Conference on Machine Learning, 2484–93. PMLR.\n\n\nGuo, Yutao, Hao Wang, Hui Zhang, Tong Liu, Zhaoguang Liang, Yunlong Xia,\nLi Yan, et al. 2019. “Mobile Photoplethysmographic Technology to\nDetect Atrial Fibrillation.” J. Am. Coll. Cardiol. 74\n(19): 2365–75. https://doi.org/10.1016/j.jacc.2019.08.019.\n\n\nGupta, Maanak, Charankumar Akiri, Kshitiz Aryal, Eli Parker, and\nLopamudra Praharaj. 2023. “From ChatGPT to\nThreatGPT: Impact of Generative\nAI in Cybersecurity and Privacy.”\n#IEEE_O_ACC# 11: 80218–45. https://doi.org/10.1109/access.2023.3300381.\n\n\nGupta, Maya, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin\nCanini, Alexander Mangylov, Wojciech Moczydlowski, and Alexander Van\nEsbroeck. 2016. “Monotonic Calibrated Interpolated Look-up\nTables.” The Journal of Machine Learning Research 17\n(1): 3790–3836.\n\n\nGupta, Udit, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee,\nDavid Brooks, and Carole-Jean Wu. 2022. “Act: Designing\nSustainable Computer Systems with an Architectural Carbon Modeling\nTool.” In Proceedings of the 49th Annual International\nSymposium on Computer Architecture, 784–99. ACM. https://doi.org/10.1145/3470496.3527408.\n\n\nGwennap, Linley. n.d. “Certus-NX Innovates\nGeneral-Purpose FPGAs.”\n\n\nHaensch, Wilfried, Tayfun Gokmen, and Ruchir Puri. 2019. “The Next\nGeneration of Deep Learning Hardware: Analog\nComputing.” Proc. IEEE 107 (1): 108–22. https://doi.org/10.1109/jproc.2018.2871057.\n\n\nHamming, R. W. 1950. “Error Detecting and Error Correcting\nCodes.” Bell Syst. Tech. J. 29 (2): 147–60. https://doi.org/10.1002/j.1538-7305.1950.tb00463.x.\n\n\nHan, Song, Huizi Mao, and William J Dally. 2015. “Deep\nCompression: Compressing Deep Neural Networks with Pruning, Trained\nQuantization and Huffman Coding.” arXiv Preprint\narXiv:1510.00149.\n\n\nHan, Song, Huizi Mao, and William J. Dally. 2016. “Deep\nCompression: Compressing Deep Neural Networks with Pruning,\nTrained Quantization and Huffman Coding.” https://arxiv.org/abs/1510.00149.\n\n\nHandlin, Oscar. 1965. “Science and Technology in Popular\nCulture.” Daedalus-Us., 156–70.\n\n\nHardt, Moritz, Eric Price, and Nati Srebro. 2016. “Equality of\nOpportunity in Supervised Learning.” In Advances in Neural\nInformation Processing Systems 29: Annual Conference on Neural\nInformation Processing Systems 2016, December 5-10, 2016, Barcelona,\nSpain, edited by Daniel D. Lee, Masashi Sugiyama, Ulrike von\nLuxburg, Isabelle Guyon, and Roman Garnett, 3315–23. https://proceedings.neurips.cc/paper/2016/hash/9d2682367c3935defcb1f9e247a97c0d-Abstract.html.\n\n\nHawks, Benjamin, Javier Duarte, Nicholas J. Fraser, Alessandro\nPappalardo, Nhan Tran, and Yaman Umuroglu. 2021. “Ps and Qs: Quantization-aware Pruning for Efficient Low\nLatency Neural Network Inference.” Frontiers in Artificial\nIntelligence 4 (July). https://doi.org/10.3389/frai.2021.676564.\n\n\nHazan, Avi, and Elishai Ezra Tsur. 2021. “Neuromorphic Analog\nImplementation of Neural Engineering Framework-Inspired Spiking Neuron\nfor High-Dimensional Representation.” Front. Neurosci.\n15 (February): 627221. https://doi.org/10.3389/fnins.2021.627221.\n\n\nHe, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015.\n“Delving Deep into Rectifiers: Surpassing Human-Level\nPerformance on ImageNet Classification.” In 2015\nIEEE International Conference on Computer Vision (ICCV), 1026–34.\nIEEE. https://doi.org/10.1109/iccv.2015.123.\n\n\n———. 2016. “Deep Residual Learning for Image Recognition.”\nIn 2016 IEEE Conference on Computer Vision and Pattern Recognition\n(CVPR), 770–78. IEEE. https://doi.org/10.1109/cvpr.2016.90.\n\n\nHe, Yi, Prasanna Balaprakash, and Yanjing Li. 2020.\n“FIdelity: Efficient Resilience Analysis\nFramework for Deep Learning Accelerators.” In 2020 53rd\nAnnual IEEE/ACM International Symposium on Microarchitecture\n(MICRO), 270–81. IEEE; IEEE. https://doi.org/10.1109/micro50266.2020.00033.\n\n\nHe, Yi, Mike Hutton, Steven Chan, Robert De Gruijl, Rama Govindaraju,\nNishant Patil, and Yanjing Li. 2023. “Understanding and Mitigating\nHardware Failures in Deep Learning Training Systems.” In\nProceedings of the 50th Annual International Symposium on Computer\nArchitecture, 1–16. IEEE; ACM. https://doi.org/10.1145/3579371.3589105.\n\n\nHébert-Johnson, Úrsula, Michael P. Kim, Omer Reingold, and Guy N.\nRothblum. 2018. “Multicalibration: Calibration for\nthe (Computationally-Identifiable) Masses.” In\nProceedings of the 35th International Conference on Machine\nLearning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15,\n2018, edited by Jennifer G. Dy and Andreas Krause, 80:1944–53.\nProceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v80/hebert-johnson18a.html.\n\n\nHegde, Sumant. 2023. “An Introduction to Separable Convolutions -\nAnalytics Vidhya.” https://www.analyticsvidhya.com/blog/2021/11/an-introduction-to-separable-convolutions/.\n\n\nHenderson, Peter, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky,\nand Joelle Pineau. 2020. “Towards the Systematic Reporting of the\nEnergy and Carbon Footprints of Machine Learning.” The\nJournal of Machine Learning Research 21 (1): 10039–81.\n\n\nHendrycks, Dan, and Thomas Dietterich. 2019. “Benchmarking Neural\nNetwork Robustness to Common Corruptions and Perturbations.”\narXiv Preprint arXiv:1903.12261.\n\n\nHendrycks, Dan, Kevin Zhao, Steven Basart, Jacob Steinhardt, and Dawn\nSong. 2021. “Natural Adversarial Examples.” In 2021\nIEEE/CVF Conference on Computer Vision and Pattern Recognition\n(CVPR), 15262–71. IEEE. https://doi.org/10.1109/cvpr46437.2021.01501.\n\n\nHennessy, John L., and David A. Patterson. 2019. “A New Golden Age\nfor Computer Architecture.” Commun. ACM 62 (2): 48–60.\nhttps://doi.org/10.1145/3282307.\n\n\nHimmelstein, Gracie, David Bates, and Li Zhou. 2022. “Examination\nof Stigmatizing Language in the Electronic Health Record.”\nJAMA Network Open 5 (1): e2144967. https://doi.org/10.1001/jamanetworkopen.2021.44967.\n\n\nHinton, Geoffrey. 2005. “Van Nostrand’s Scientific Encyclopedia.” Wiley.\nhttps://doi.org/10.1002/0471743984.vse0673.\n\n\n———. 2017. “Overview of Minibatch Gradient Descent.”\nUniversity of Toronto; University Lecture.\n\n\nHo Yoon, Jung, Hyung-Suk Jung, Min Hwan Lee, Gun Hwan Kim, Seul Ji Song,\nJun Yeong Seok, Kyung Jean Yoon, et al. 2012. “Frontiers in\nElectronic Materials.” Wiley. https://doi.org/10.1002/9783527667703.ch67.\n\n\nHoefler, Torsten, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, and\nAlexandra Peste. 2021. “Sparsity in Deep Learning:\nPruning and Growth for Efficient Inference and Training in\nNeural Networks.” https://arxiv.org/abs/2102.00554.\n\n\nHolland, Sarah, Ahmed Hosny, Sarah Newman, Joshua Joseph, and Kasia\nChmielinski. 2020. “The Dataset Nutrition Label: A Framework to\nDrive Higher Data Quality Standards.” In Data Protection and\nPrivacy. Hart Publishing. https://doi.org/10.5040/9781509932771.ch-001.\n\n\nHong, Sanghyun, Nicholas Carlini, and Alexey Kurakin. 2023.\n“Publishing Efficient on-Device Models Increases Adversarial\nVulnerability.” In 2023 IEEE Conference on Secure and\nTrustworthy Machine Learning (SaTML), 271–90. IEEE; IEEE. https://doi.org/10.1109/satml54575.2023.00026.\n\n\nHosseini, Hossein, Sreeram Kannan, Baosen Zhang, and Radha Poovendran.\n2017. “Deceiving Google’s Perspective Api Built for Detecting\nToxic Comments.” ArXiv Preprint abs/1702.08138. https://arxiv.org/abs/1702.08138.\n\n\nHoward, Andrew G., Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun\nWang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017.\n“MobileNets: Efficient Convolutional\nNeural Networks for Mobile Vision Applications.” ArXiv\nPreprint. https://arxiv.org/abs/1704.04861.\n\n\nHsiao, Yu-Shun, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman\nMahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, and Vijay\nJanapa Reddi. 2023. “MAVFI: An\nEnd-to-End Fault Analysis Framework with Anomaly Detection and Recovery\nfor Micro Aerial Vehicles.” In 2023 Design, Automation\n&Amp; Test in Europe Conference &Amp; Exhibition (DATE),\n1–6. IEEE; IEEE. https://doi.org/10.23919/date56975.2023.10137246.\n\n\nHsu, Liang-Ching, Ching-Yi Huang, Yen-Hsun Chuang, Ho-Wen Chen, Ya-Ting\nChan, Heng Yi Teah, Tsan-Yao Chen, Chiung-Fen Chang, Yu-Ting Liu, and\nYu-Min Tzou. 2016. “Accumulation of Heavy Metals and Trace\nElements in Fluvial Sediments Received Effluents from Traditional and\nSemiconductor Industries.” Scientific Reports 6 (1):\n34250. https://doi.org/10.1038/srep34250.\n\n\nHu, Jie, Li Shen, and Gang Sun. 2018. “Squeeze-and-Excitation\nNetworks.” In 2018 IEEE/CVF Conference on Computer Vision and\nPattern Recognition, 7132–41. IEEE. https://doi.org/10.1109/cvpr.2018.00745.\n\n\nHu, Yang, Jie Jiang, Lifu Zhang, Yunfeng Shi, and Jian Shi. 2023.\n“Halide Perovskite Semiconductors.” Wiley. https://doi.org/10.1002/9783527829026.ch13.\n\n\nHuang, Tsung-Ching, Kenjiro Fukuda, Chun-Ming Lo, Yung-Hui Yeh, Tsuyoshi\nSekitani, Takao Someya, and Kwang-Ting Cheng. 2011.\n“Pseudo-CMOS: A Design Style for\nLow-Cost and Robust Flexible Electronics.” IEEE Trans.\nElectron Devices 58 (1): 141–50. https://doi.org/10.1109/ted.2010.2088127.\n\n\nHutter, Michael, Jorn-Marc Schmidt, and Thomas Plos. 2009.\n“Contact-Based Fault Injections and Power Analysis on\nRFID Tags.” In 2009 European Conference on\nCircuit Theory and Design, 409–12. IEEE; IEEE. https://doi.org/10.1109/ecctd.2009.5275012.\n\n\nIandola, Forrest N, Song Han, Matthew W Moskewicz, Khalid Ashraf,\nWilliam J Dally, and Kurt Keutzer. 2016. “SqueezeNet:\nAlexnet-level Accuracy with 50x Fewer\nParameters and 0.5 MB Model Size.” ArXiv\nPreprint abs/1602.07360. https://arxiv.org/abs/1602.07360.\n\n\nIgnatov, Andrey, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim\nHartley, and Luc Van Gool. 2018. “AI Benchmark:\nRunning Deep Neural Networks on Android\nSmartphones,” 0–0.\n\n\nImani, Mohsen, Abbas Rahimi, and Tajana S. Rosing. 2016.\n“Resistive Configurable Associative Memory for Approximate\nComputing.” In Proceedings of the 2016 Design, Automation\n&Amp; Test in Europe Conference &Amp; Exhibition (DATE),\n1327–32. IEEE; Research Publishing Services. https://doi.org/10.3850/9783981537079_0454.\n\n\nIntelLabs. 2023. “Knowledge Distillation - Neural Network\nDistiller.” https://intellabs.github.io/distiller/knowledge_distillation.html.\n\n\nIppolito, Daphne, Florian Tramer, Milad Nasr, Chiyuan Zhang, Matthew\nJagielski, Katherine Lee, Christopher Choquette Choo, and Nicholas\nCarlini. 2023. “Preventing Generation of Verbatim Memorization in\nLanguage Models Gives a False Sense of Privacy.” In\nProceedings of the 16th International Natural Language Generation\nConference, 5253–70. Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.inlg-main.3.\n\n\nIrimia-Vladu, Mihai. 2014.\n““Green” Electronics:\nBiodegradable and Biocompatible Materials and Devices for\nSustainable Future.” Chem. Soc. Rev. 43 (2): 588–610. https://doi.org/10.1039/c3cs60235d.\n\n\nIsscc. 2014. “Computing’s Energy Problem (and What We Can Do about\nIt).” https://ieeexplore.ieee.org/document/6757323.\n\n\nJacob, Benoit, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang,\nAndrew Howard, Hartwig Adam, and Dmitry Kalenichenko. 2018.\n“Quantization and Training of Neural Networks for Efficient\nInteger-Arithmetic-Only Inference.” In Proceedings of the\nIEEE Conference on Computer Vision and Pattern Recognition,\n2704–13.\n\n\nJanapa Reddi, Vijay, Alexander Elium, Shawn Hymel, David Tischler,\nDaniel Situnayake, Carl Ward, Louis Moreau, et al. 2023. “Edge\nImpulse: An MLOps Platform for Tiny Machine\nLearning.” Proceedings of Machine Learning and Systems\n5.\n\n\nJha, A. R. 2014. Rare Earth Materials: Properties and\nApplications. CRC Press. https://doi.org/10.1201/b17045.\n\n\nJha, Saurabh, Subho Banerjee, Timothy Tsai, Siva K. S. Hari, Michael B.\nSullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, and Ravishankar K.\nIyer. 2019. “ML-Based Fault Injection for Autonomous\nVehicles: A Case for Bayesian Fault\nInjection.” In 2019 49th Annual IEEE/IFIP International\nConference on Dependable Systems and Networks (DSN), 112–24. IEEE;\nIEEE. https://doi.org/10.1109/dsn.2019.00025.\n\n\nJia, Yangqing, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan\nLong, Ross Girshick, Sergio Guadarrama, and Trevor Darrell. 2014.\n“Caffe: Convolutional Architecture for Fast Feature\nEmbedding.” In Proceedings of the 22nd ACM International\nConference on Multimedia, 675–78. ACM. https://doi.org/10.1145/2647868.2654889.\n\n\nJia, Zhe, Marco Maggioni, Benjamin Staiger, and Daniele P. Scarpazza.\n2018. “Dissecting the NVIDIA Volta\nGPU Architecture via Microbenchmarking.” ArXiv\nPreprint. https://arxiv.org/abs/1804.06826.\n\n\nJia, Zhenge, Dawei Li, Xiaowei Xu, Na Li, Feng Hong, Lichuan Ping, and\nYiyu Shi. 2023. “Life-Threatening Ventricular Arrhythmia Detection\nChallenge in Implantable\nCardioverterdefibrillators.” Nature Machine\nIntelligence 5 (5): 554–55. https://doi.org/10.1038/s42256-023-00659-9.\n\n\nJia, Zhihao, Matei Zaharia, and Alex Aiken. 2019. “Beyond Data and\nModel Parallelism for Deep Neural Networks.” In Proceedings\nof Machine Learning and Systems 2019, MLSys 2019, Stanford, CA, USA,\nMarch 31 - April 2, 2019, edited by Ameet Talwalkar, Virginia\nSmith, and Matei Zaharia. mlsys.org. https://proceedings.mlsys.org/book/265.pdf.\n\n\nJin, Yilun, Xiguang Wei, Yang Liu, and Qiang Yang. 2020. “Towards\nUtilizing Unlabeled Data in Federated Learning: A Survey\nand Prospective.” arXiv Preprint arXiv:2002.11545.\n\n\nJohnson-Roberson, Matthew, Charles Barto, Rounak Mehta, Sharath Nittur\nSridhar, Karl Rosaen, and Ram Vasudevan. 2017. “Driving in the\nMatrix: Can Virtual Worlds Replace Human-Generated\nAnnotations for Real World Tasks?” In 2017 IEEE International\nConference on Robotics and Automation (ICRA), 746–53. Singapore,\nSingapore: IEEE. https://doi.org/10.1109/icra.2017.7989092.\n\n\nJouppi, Norman P., Cliff Young, Nishant Patil, David Patterson, Gaurav\nAgrawal, Raminder Bajwa, Sarah Bates, et al. 2017a. “In-Datacenter\nPerformance Analysis of a Tensor Processing Unit.” In\nProceedings of the 44th Annual International Symposium on Computer\nArchitecture, 1–12. ISCA ’17. New York, NY, USA: ACM. https://doi.org/10.1145/3079856.3080246.\n\n\n———, et al. 2017b. “In-Datacenter Performance Analysis of a Tensor\nProcessing Unit.” In Proceedings of the 44th Annual\nInternational Symposium on Computer Architecture, 1–12. ISCA ’17.\nNew York, NY, USA: ACM. https://doi.org/10.1145/3079856.3080246.\n\n\nJouppi, Norm, George Kurian, Sheng Li, Peter Ma, Rahul Nagarajan, Lifeng\nNai, Nishant Patil, et al. 2023. “TPU V4:\nAn Optically Reconfigurable Supercomputer for Machine\nLearning with Hardware Support for Embeddings.” In\nProceedings of the 50th Annual International Symposium on Computer\nArchitecture. ISCA ’23. New York, NY, USA: ACM. https://doi.org/10.1145/3579371.3589350.\n\n\nJoye, Marc, and Michael Tunstall. 2012. Fault Analysis in\nCryptography. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-29656-7.\n\n\nKairouz, Peter, Sewoong Oh, and Pramod Viswanath. 2015. “Secure\nMulti-Party Differential Privacy.” In Advances in Neural\nInformation Processing Systems 28: Annual Conference on Neural\nInformation Processing Systems 2015, December 7-12, 2015, Montreal,\nQuebec, Canada, edited by Corinna Cortes, Neil D. Lawrence, Daniel\nD. Lee, Masashi Sugiyama, and Roman Garnett, 2008–16. https://proceedings.neurips.cc/paper/2015/hash/a01610228fe998f515a72dd730294d87-Abstract.html.\n\n\nKalamkar, Dhiraj, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das,\nKunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, et al. 2019.\n“A Study of BFLOAT16 for Deep Learning\nTraining.” https://arxiv.org/abs/1905.12322.\n\n\nKao, Sheng-Chun, Geonhwa Jeong, and Tushar Krishna. 2020.\n“ConfuciuX: Autonomous Hardware Resource\nAssignment for DNN Accelerators Using Reinforcement\nLearning.” In 2020 53rd Annual IEEE/ACM International\nSymposium on Microarchitecture (MICRO), 622–36. IEEE; IEEE. https://doi.org/10.1109/micro50266.2020.00058.\n\n\nKao, Sheng-Chun, and Tushar Krishna. 2020. “Gamma: Automating the\nHW Mapping of DNN Models on Accelerators via Genetic Algorithm.”\nIn Proceedings of the 39th International Conference on\nComputer-Aided Design, 1–9. ACM. https://doi.org/10.1145/3400302.3415639.\n\n\nKaplan, Jared, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin\nChess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario\nAmodei. 2020. “Scaling Laws for Neural Language Models.”\nArXiv Preprint abs/2001.08361. https://arxiv.org/abs/2001.08361.\n\n\nKarargyris, Alexandros, Renato Umeton, Micah J Sheller, Alejandro\nAristizabal, Johnu George, Anna Wuest, Sarthak Pati, et al. 2023.\n“Federated Benchmarking of Medical Artificial Intelligence with\nMedPerf.” Nature Machine Intelligence 5\n(7): 799–810. https://doi.org/10.1038/s42256-023-00652-2.\n\n\nKaur, Harmanpreet, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna\nWallach, and Jennifer Wortman Vaughan. 2020. “Interpreting\nInterpretability: Understanding Data Scientists’ Use of\nInterpretability Tools for Machine Learning.” In Proceedings\nof the 2020 CHI Conference on Human Factors in Computing Systems,\nedited by Regina Bernhaupt, Florian ’Floyd’Mueller, David Verweij, Josh\nAndres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, et al., 1–14.\nACM. https://doi.org/10.1145/3313831.3376219.\n\n\nKawazoe Aguilera, Marcos, Wei Chen, and Sam Toueg. 1997.\n“Heartbeat: A Timeout-Free Failure Detector for\nQuiescent Reliable Communication.” In Distributed Algorithms:\n11th International Workshop, WDAG’97 Saarbrücken, Germany, September\n2426, 1997 Proceedings 11, 126–40. Springer.\n\n\nKhan, Mohammad Emtiyaz, and Siddharth Swaroop. 2021.\n“Knowledge-Adaptation Priors.” In Advances in Neural\nInformation Processing Systems 34: Annual Conference on Neural\nInformation Processing Systems 2021, NeurIPS 2021, December 6-14, 2021,\nVirtual, edited by Marc’Aurelio Ranzato, Alina Beygelzimer, Yann N.\nDauphin, Percy Liang, and Jennifer Wortman Vaughan, 19757–70. https://proceedings.neurips.cc/paper/2021/hash/a4380923dd651c195b1631af7c829187-Abstract.html.\n\n\nKiela, Douwe, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger,\nZhengxuan Wu, Bertie Vidgen, et al. 2021. “Dynabench:\nRethinking Benchmarking in NLP.” In\nProceedings of the 2021 Conference of the North American Chapter of\nthe Association for Computational Linguistics: Human Language\nTechnologies, 4110–24. Online: Association for Computational\nLinguistics. https://doi.org/10.18653/v1/2021.naacl-main.324.\n\n\nKim, Jungrae, Michael Sullivan, and Mattan Erez. 2015. “Bamboo\nECC: Strong, Safe, and Flexible Codes for\nReliable Computer Memory.” In 2015 IEEE 21st International\nSymposium on High Performance Computer Architecture (HPCA), 101–12.\nIEEE; IEEE. https://doi.org/10.1109/hpca.2015.7056025.\n\n\nKim, Sunju, Chungsik Yoon, Seunghon Ham, Jihoon Park, Ohun Kwon, Donguk\nPark, Sangjun Choi, Seungwon Kim, Kwonchul Ha, and Won Kim. 2018.\n“Chemical Use in the Semiconductor Manufacturing Industry.”\nInt. J. Occup. Env. Heal. 24 (3-4): 109–18. https://doi.org/10.1080/10773525.2018.1519957.\n\n\nKingma, Diederik P., and Jimmy Ba. 2015. “Adam: A\nMethod for Stochastic Optimization.” In 3rd International\nConference on Learning Representations, ICLR 2015, San Diego, CA, USA,\nMay 7-9, 2015, Conference Track Proceedings, edited by Yoshua\nBengio and Yann LeCun. http://arxiv.org/abs/1412.6980.\n\n\nKirkpatrick, James, Razvan Pascanu, Neil Rabinowitz, Joel Veness,\nGuillaume Desjardins, Andrei A. Rusu, Kieran Milan, et al. 2017.\n“Overcoming Catastrophic Forgetting in Neural Networks.”\nProc. Natl. Acad. Sci. 114 (13): 3521–26. https://doi.org/10.1073/pnas.1611835114.\n\n\nKo, Yohan. 2021. “Characterizing System-Level Masking Effects\nAgainst Soft Errors.” Electronics 10 (18): 2286. https://doi.org/10.3390/electronics10182286.\n\n\nKocher, Paul, Jann Horn, Anders Fogh, Daniel Genkin, Daniel Gruss,\nWerner Haas, Mike Hamburg, et al. 2019a. “Spectre Attacks:\nExploiting Speculative Execution.” In 2019 IEEE\nSymposium on Security and Privacy (SP). IEEE. https://doi.org/10.1109/sp.2019.00002.\n\n\n———, et al. 2019b. “Spectre Attacks: Exploiting\nSpeculative Execution.” In 2019 IEEE Symposium on Security\nand Privacy (SP). IEEE. https://doi.org/10.1109/sp.2019.00002.\n\n\nKocher, Paul, Joshua Jaffe, and Benjamin Jun. 1999. “Differential\nPower Analysis.” In Advances in\nCryptologyCRYPTO’99: 19th Annual International Cryptology\nConference Santa Barbara, California, USA, August 1519,\n1999 Proceedings 19, 388–97. Springer.\n\n\nKocher, Paul, Joshua Jaffe, Benjamin Jun, and Pankaj Rohatgi. 2011.\n“Introduction to Differential Power Analysis.” Journal\nof Cryptographic Engineering 1 (1): 5–27. https://doi.org/10.1007/s13389-011-0006-y.\n\n\nKoh, Pang Wei, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma\nPierson, Been Kim, and Percy Liang. 2020. “Concept Bottleneck\nModels.” In Proceedings of the 37th International Conference\non Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event,\n119:5338–48. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v119/koh20a.html.\n\n\nKoh, Pang Wei, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin\nZhang, Akshay Balsubramani, Weihua Hu, et al. 2021.\n“WILDS: A Benchmark of in-the-Wild\nDistribution Shifts.” In Proceedings of the 38th\nInternational Conference on Machine Learning, ICML 2021, 18-24 July\n2021, Virtual Event, edited by Marina Meila and Tong Zhang,\n139:5637–64. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v139/koh21a.html.\n\n\nKoren, Yehuda, Robert Bell, and Chris Volinsky. 2009. “Matrix\nFactorization Techniques for Recommender Systems.”\nComputer 42 (8): 30–37. https://doi.org/10.1109/mc.2009.263.\n\n\nKrishna, Adithya, Srikanth Rohit Nudurupati, Chandana D G, Pritesh\nDwivedi, André van Schaik, Mahesh Mehendale, and Chetan Singh Thakur.\n2023. “RAMAN: A Re-Configurable and\nSparse TinyML Accelerator for Inference on Edge.” https://arxiv.org/abs/2306.06493.\n\n\nKrishnamoorthi. 2018. “Quantizing Deep Convolutional Networks for\nEfficient Inference: A Whitepaper.” ArXiv\nPreprint. https://arxiv.org/abs/1806.08342.\n\n\nKrishnan, Rayan, Pranav Rajpurkar, and Eric J. Topol. 2022.\n“Self-Supervised Learning in Medicine and Healthcare.”\nNat. Biomed. Eng. 6 (12): 1346–52. https://doi.org/10.1038/s41551-022-00914-1.\n\n\nKrishnan, Srivatsan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang,\nIzzeddin Gur, Vijay Janapa Reddi, and Aleksandra Faust. 2022.\n“Multi-Agent Reinforcement Learning for Microprocessor Design\nSpace Exploration.” https://arxiv.org/abs/2211.16385.\n\n\nKrishnan, Srivatsan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour,\nIkechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, et al. 2023.\n“ArchGym: An Open-Source Gymnasium for\nMachine Learning Assisted Architecture Design.” In\nProceedings of the 50th Annual International Symposium on Computer\nArchitecture, 1–16. ACM. https://doi.org/10.1145/3579371.3589049.\n\n\nKrizhevsky, Alex, Ilya Sutskever, and Geoffrey E Hinton. 2012a.\n“ImageNet Classification with Deep Convolutional Neural\nNetworks.” Edited by F. Pereira, C. J. Burges, L. Bottou, and K.\nQ. Weinberger 25. https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf.\n\n\nKrizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. 2012b.\n“ImageNet Classification with Deep Convolutional\nNeural Networks.” In Advances in Neural Information\nProcessing Systems 25: 26th Annual Conference on Neural Information\nProcessing Systems 2012. Proceedings of a Meeting Held December 3-6,\n2012, Lake Tahoe, Nevada, United States, edited by Peter L.\nBartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou,\nand Kilian Q. Weinberger, 1106–14. https://proceedings.neurips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html.\n\n\nKung, Hsiang Tsung, and Charles E Leiserson. 1979. “Systolic\nArrays (for VLSI).” In Sparse Matrix Proceedings\n1978, 1:256–82. Society for industrial; applied mathematics\nPhiladelphia, PA, USA.\n\n\nKurth, Thorsten, Shashank Subramanian, Peter Harrington, Jaideep Pathak,\nMorteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, and Anima\nAnandkumar. 2023. “FourCastNet:\nAccelerating Global High-Resolution Weather Forecasting\nUsing Adaptive Fourier Neural Operators.” In\nProceedings of the Platform for Advanced Scientific Computing\nConference, 1–11. ACM. https://doi.org/10.1145/3592979.3593412.\n\n\nKuzmin, Andrey, Mart Van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters,\nand Tijmen Blankevoort. 2022. “FP8 Quantization:\nThe Power of the Exponent.” https://arxiv.org/abs/2208.09225.\n\n\nKwon, Jisu, and Daejin Park. 2021. “Hardware/Software\nCo-Design for TinyML Voice-Recognition Application on\nResource Frugal Edge Devices.” Applied Sciences 11 (22):\n11073. https://doi.org/10.3390/app112211073.\n\n\nKwon, Sun Hwa, and Lin Dong. 2022. “Flexible Sensors and Machine\nLearning for Heart Monitoring.” Nano Energy 102\n(November): 107632. https://doi.org/10.1016/j.nanoen.2022.107632.\n\n\nKwon, Young D, Rui Li, Stylianos I Venieris, Jagmohan Chauhan, Nicholas\nD Lane, and Cecilia Mascolo. 2023. “TinyTrain:\nDeep Neural Network Training at the Extreme Edge.”\nArXiv Preprint abs/2307.09988. https://arxiv.org/abs/2307.09988.\n\n\nLai, Liangzhen, Naveen Suda, and Vikas Chandra. 2018a. “Cmsis-Nn:\nEfficient Neural Network Kernels for Arm Cortex-m\nCpus.” ArXiv Preprint abs/1801.06601. https://arxiv.org/abs/1801.06601.\n\n\n———. 2018b. “CMSIS-NN:\nEfficient Neural Network Kernels for Arm Cortex-m\nCPUs.” https://arxiv.org/abs/1801.06601.\n\n\nLakkaraju, Himabindu, and Osbert Bastani. 2020. “”How\nDo i Fool You?”: Manipulating User Trust via Misleading Black Box\nExplanations.” In Proceedings of the AAAI/ACM Conference on\nAI, Ethics, and Society, 79–85. ACM. https://doi.org/10.1145/3375627.3375833.\n\n\nLam, Remi, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger,\nMeire Fortunato, Ferran Alet, Suman Ravuri, et al. 2023. “Learning\nSkillful Medium-Range Global Weather Forecasting.”\nScience 382 (6677): 1416–21. https://doi.org/10.1126/science.adi2336.\n\n\nLannelongue, Loı̈c, Jason Grealey, and Michael Inouye. 2021. “Green\nAlgorithms: Quantifying the Carbon Footprint of\nComputation.” Adv. Sci. 8 (12): 2100707. https://doi.org/10.1002/advs.202100707.\n\n\nLeCun, Yann, John Denker, and Sara Solla. 1989. “Optimal Brain\nDamage.” Adv Neural Inf Process Syst 2.\n\n\nLee, Minwoong, Namho Lee, Huijeong Gwon, Jongyeol Kim, Younggwan Hwang,\nand Seongik Cho. 2022. “Design of Radiation-Tolerant High-Speed\nSignal Processing Circuit for Detecting Prompt Gamma Rays by Nuclear\nExplosion.” Electronics 11 (18): 2970. https://doi.org/10.3390/electronics11182970.\n\n\nLeRoy Poff, N, MM Brinson, and JW Day. 2002. “Aquatic Ecosystems\n& Global Climate Change.” Pew Center on Global Climate\nChange.\n\n\nLi, En, Liekang Zeng, Zhi Zhou, and Xu Chen. 2020. “Edge\nAI: On-demand Accelerating Deep\nNeural Network Inference via Edge Computing.” IEEE Trans.\nWireless Commun. 19 (1): 447–57. https://doi.org/10.1109/twc.2019.2946140.\n\n\nLi, Guanpeng, Siva Kumar Sastry Hari, Michael Sullivan, Timothy Tsai,\nKarthik Pattabiraman, Joel Emer, and Stephen W. Keckler. 2017.\n“Understanding Error Propagation in Deep Learning Neural Network\n(DNN) Accelerators and Applications.” In\nProceedings of the International Conference for High Performance\nComputing, Networking, Storage and Analysis, 1–12. ACM. https://doi.org/10.1145/3126908.3126964.\n\n\nLi, Jingzhen, Igbe Tobore, Yuhang Liu, Abhishek Kandwal, Lei Wang, and\nZedong Nie. 2021. “Non-Invasive Monitoring of Three Glucose Ranges\nBased on ECG by Using\nDBSCAN-CNN.” #IEEE_J_BHI# 25\n(9): 3340–50. https://doi.org/10.1109/jbhi.2021.3072628.\n\n\nLi, Mu, David G. Andersen, Alexander J. Smola, and Kai Yu. 2014.\n“Communication Efficient Distributed Machine Learning with the\nParameter Server.” In Advances in Neural Information\nProcessing Systems 27: Annual Conference on Neural Information\nProcessing Systems 2014, December 8-13 2014, Montreal, Quebec,\nCanada, edited by Zoubin Ghahramani, Max Welling, Corinna Cortes,\nNeil D. Lawrence, and Kilian Q. Weinberger, 19–27. https://proceedings.neurips.cc/paper/2014/hash/1ff1de774005f8da13f42943881c655f-Abstract.html.\n\n\nLi, Qinbin, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu,\nand Bingsheng He. 2023. “A Survey on Federated Learning Systems:\nVision, Hype and Reality for Data Privacy and\nProtection.” IEEE Trans. Knowl. Data Eng. 35 (4):\n3347–66. https://doi.org/10.1109/tkde.2021.3124599.\n\n\nLi, Tian, Anit Kumar Sahu, Ameet Talwalkar, and Virginia Smith. 2020.\n“Federated Learning: Challenges, Methods, and Future\nDirections.” IEEE Signal Process Mag. 37 (3): 50–60. https://doi.org/10.1109/msp.2020.2975749.\n\n\nLi, Xiang, Tao Qin, Jian Yang, and Tie-Yan Liu. 2016.\n“LightRNN: Memory and\nComputation-Efficient Recurrent Neural Networks.” In Advances\nin Neural Information Processing Systems 29: Annual Conference on Neural\nInformation Processing Systems 2016, December 5-10, 2016, Barcelona,\nSpain, edited by Daniel D. Lee, Masashi Sugiyama, Ulrike von\nLuxburg, Isabelle Guyon, and Roman Garnett, 4385–93. https://proceedings.neurips.cc/paper/2016/hash/c3e4035af2a1cde9f21e1ae1951ac80b-Abstract.html.\n\n\nLi, Yuhang, Xin Dong, and Wei Wang. 2020. “Additive Powers-of-Two\nQuantization: An Efficient Non-Uniform Discretization for\nNeural Networks.” In 8th International Conference on Learning\nRepresentations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30,\n2020. OpenReview.net. https://openreview.net/forum?id=BkgXT24tDS.\n\n\nLi, Zhizhong, and Derek Hoiem. 2018. “Learning Without\nForgetting.” IEEE Trans. Pattern Anal. Mach. Intell. 40\n(12): 2935–47. https://doi.org/10.1109/tpami.2017.2773081.\n\n\nLin, Ji, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, and Song Han.\n2020. “MCUNet: Tiny Deep Learning on\nIoT Devices.” In Advances in Neural Information\nProcessing Systems 33: Annual Conference on Neural Information\nProcessing Systems 2020, NeurIPS 2020, December 6-12, 2020,\nVirtual, edited by Hugo Larochelle, Marc’Aurelio Ranzato, Raia\nHadsell, Maria-Florina Balcan, and Hsuan-Tien Lin. https://proceedings.neurips.cc/paper/2020/hash/86c51678350f656dcc7f490a43946ee5-Abstract.html.\n\n\nLin, Ji, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, and Song\nHan. 2022. “On-Device Training Under 256kb Memory.”\nAdv. Neur. In. 35: 22941–54.\n\n\nLin, Tsung-Yi, Michael Maire, Serge Belongie, James Hays, Pietro Perona,\nDeva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014.\n“Microsoft Coco: Common Objects in Context.”\nIn Computer VisionECCV 2014: 13th European Conference,\nZurich, Switzerland, September 6-12, 2014, Proceedings, Part v 13,\n740–55. Springer.\n\n\nLindgren, Simon. 2023. Handbook of Critical Studies of Artificial\nIntelligence. Edward Elgar Publishing.\n\n\nLindholm, Andreas, Dave Zachariah, Petre Stoica, and Thomas B. Schon.\n2019. “Data Consistency Approach to Model Validation.”\n#IEEE_O_ACC# 7: 59788–96. https://doi.org/10.1109/access.2019.2915109.\n\n\nLindholm, Erik, John Nickolls, Stuart Oberman, and John Montrym. 2008.\n“NVIDIA Tesla: A Unified Graphics and\nComputing Architecture.” IEEE Micro 28 (2): 39–55. https://doi.org/10.1109/mm.2008.31.\n\n\nLin, Tang Tang, Dang Yang, and Han Gan. 2023. “AWQ:\nActivation-aware Weight Quantization for\nLLM Compression and Acceleration.” ArXiv\nPreprint. https://arxiv.org/abs/2306.00978.\n\n\nLiu, Yanan, Xiaoxia Wei, Jinyu Xiao, Zhijie Liu, Yang Xu, and Yun Tian.\n2020. “Energy Consumption and Emission Mitigation Prediction Based\non Data Center Traffic and PUE for Global Data\nCenters.” Global Energy Interconnection 3 (3): 272–82.\nhttps://doi.org/10.1016/j.gloei.2020.07.008.\n\n\nLiu, Yingcheng, Guo Zhang, Christopher G. Tarolli, Rumen Hristov, Stella\nJensen-Roberts, Emma M. Waddell, Taylor L. Myers, et al. 2022.\n“Monitoring Gait at Home with Radio Waves in\nParkinson’s Disease: A Marker of Severity,\nProgression, and Medication Response.” Sci. Transl. Med.\n14 (663): eadc9669. https://doi.org/10.1126/scitranslmed.adc9669.\n\n\nLoh, Gabriel H. 2008. “3D-Stacked Memory\nArchitectures for Multi-Core Processors.” ACM SIGARCH\nComputer Architecture News 36 (3): 453–64. https://doi.org/10.1145/1394608.1382159.\n\n\nLopez-Paz, David, and Marc’Aurelio Ranzato. 2017. “Gradient\nEpisodic Memory for Continual Learning.” Adv Neural Inf\nProcess Syst 30.\n\n\nLou, Yin, Rich Caruana, Johannes Gehrke, and Giles Hooker. 2013.\n“Accurate Intelligible Models with Pairwise Interactions.”\nIn Proceedings of the 19th ACM SIGKDD International Conference on\nKnowledge Discovery and Data Mining, edited by Inderjit S. Dhillon,\nYehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh,\nJingrui He, Robert L. Grossman, and Ramasamy Uthurusamy, 623–31. ACM. https://doi.org/10.1145/2487575.2487579.\n\n\nLowy, Andrew, Rakesh Pavan, Sina Baharlouei, Meisam Razaviyayn, and\nAhmad Beirami. 2021. “Fermi: Fair Empirical Risk\nMinimization via Exponential Rényi Mutual Information.”\n\n\nLuebke, David. 2008. “CUDA: Scalable\nParallel Programming for High-Performance Scientific Computing.”\nIn 2008 5th IEEE International Symposium on Biomedical Imaging: From\nNano to Macro, 836–38. IEEE. https://doi.org/10.1109/isbi.2008.4541126.\n\n\nLundberg, Scott M., and Su-In Lee. 2017. “A Unified Approach to\nInterpreting Model Predictions.” In Advances in Neural\nInformation Processing Systems 30: Annual Conference on Neural\nInformation Processing Systems 2017, December 4-9, 2017, Long Beach, CA,\nUSA, edited by Isabelle Guyon, Ulrike von Luxburg, Samy Bengio,\nHanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, and Roman Garnett,\n4765–74. https://proceedings.neurips.cc/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html.\n\n\nMa, Dongning, Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore,\nSriram Sankar, and Xun Jiao. 2024. “Dr.\nDNA: Combating Silent Data Corruptions in Deep\nLearning Using Distribution of Neuron Activations.” In\nProceedings of the 29th ACM International Conference on\nArchitectural Support for Programming Languages and Operating Systems,\nVolume 3, 239–52. ACM. https://doi.org/10.1145/3620666.3651349.\n\n\nMaas, Martin, David G. Andersen, Michael Isard, Mohammad Mahdi\nJavanmard, Kathryn S. McKinley, and Colin Raffel. 2024. “Combining\nMachine Learning and Lifetime-Based Resource Management for Memory\nAllocation and Beyond.” Commun. ACM 67 (4): 87–96. https://doi.org/10.1145/3611018.\n\n\nMaass, Wolfgang. 1997. “Networks of Spiking Neurons:\nThe Third Generation of Neural Network Models.”\nNeural Networks 10 (9): 1659–71. https://doi.org/10.1016/s0893-6080(97)00011-7.\n\n\nMadry, Aleksander, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras,\nand Adrian Vladu. 2017. “Towards Deep Learning Models Resistant to\nAdversarial Attacks.” arXiv Preprint arXiv:1706.06083.\n\n\nMahmoud, Abdulrahman, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez\nVicarte, Sarita V. Adve, Christopher W. Fletcher, Iuri Frosio, and Siva\nKumar Sastry Hari. 2020. “PyTorchFI: A\nRuntime Perturbation Tool for DNNs.” In 2020\n50th Annual IEEE/IFIP International Conference on Dependable Systems and\nNetworks Workshops (DSN-w), 25–31. IEEE; IEEE. https://doi.org/10.1109/dsn-w50199.2020.00014.\n\n\nMahmoud, Abdulrahman, Siva Kumar Sastry Hari, Christopher W. Fletcher,\nSarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael\nB. Sullivan, Timothy Tsai, and Stephen W. Keckler. 2021.\n“Optimizing Selective Protection for CNN\nResilience.” In 2021 IEEE 32nd International Symposium on\nSoftware Reliability Engineering (ISSRE), 127–38. IEEE. https://doi.org/10.1109/issre52982.2021.00025.\n\n\nMahmoud, Abdulrahman, Thierry Tambe, Tarek Aloui, David Brooks, and\nGu-Yeon Wei. 2022. “GoldenEye: A\nPlatform for Evaluating Emerging Numerical Data Formats in\nDNN Accelerators.” In 2022 52nd Annual IEEE/IFIP\nInternational Conference on Dependable Systems and Networks (DSN),\n206–14. IEEE. https://doi.org/10.1109/dsn53405.2022.00031.\n\n\nMarković, Danijela, Alice Mizrahi, Damien Querlioz, and Julie Grollier.\n2020. “Physics for Neuromorphic Computing.” Nature\nReviews Physics 2 (9): 499–510. https://doi.org/10.1038/s42254-020-0208-2.\n\n\nMartin, C. Dianne. 1993. “The Myth of the Awesome Thinking\nMachine.” Commun. ACM 36 (4): 120–33. https://doi.org/10.1145/255950.153587.\n\n\nMarulli, Fiammetta, Stefano Marrone, and Laura Verde. 2022.\n“Sensitivity of Machine Learning Approaches to Fake and Untrusted\nData in Healthcare Domain.” Journal of Sensor and Actuator\nNetworks 11 (2): 21. https://doi.org/10.3390/jsan11020021.\n\n\nMaslej, Nestor, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy,\nKatrina Ligett, Terah Lyons, James Manyika, et al. 2023.\n“Artificial Intelligence Index Report 2023.” ArXiv\nPreprint abs/2310.03715. https://arxiv.org/abs/2310.03715.\n\n\nMattson, Peter, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg\nDiamos, David Kanter, Paulius Micikevicius, et al. 2020a.\n“MLPerf: An Industry Standard Benchmark\nSuite for Machine Learning Performance.” IEEE Micro 40\n(2): 8–16. https://doi.org/10.1109/mm.2020.2974843.\n\n\n———, et al. 2020b. “MLPerf: An Industry\nStandard Benchmark Suite for Machine Learning Performance.”\nIEEE Micro 40 (2): 8–16. https://doi.org/10.1109/mm.2020.2974843.\n\n\nMazumder, Mark, Sharad Chitlangia, Colby Banbury, Yiping Kang, Juan\nManuel Ciro, Keith Achorn, Daniel Galvez, et al. 2021.\n“Multilingual Spoken Words Corpus.” In Thirty-Fifth\nConference on Neural Information Processing Systems Datasets and\nBenchmarks Track (Round 2).\n\n\nMcCarthy, John. 1981. “Epistemological Problems of Artificial\nIntelligence.” In Readings in Artificial Intelligence,\n459–65. Elsevier. https://doi.org/10.1016/b978-0-934613-03-3.50035-0.\n\n\nMcMahan, Brendan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise\nAgüera y Arcas. 2017. “Communication-Efficient Learning of Deep\nNetworks from Decentralized Data.” In Proceedings of the 20th\nInternational Conference on Artificial Intelligence and Statistics,\nAISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, edited by\nAarti Singh and Xiaojin (Jerry) Zhu, 54:1273–82. Proceedings of Machine\nLearning Research. PMLR. http://proceedings.mlr.press/v54/mcmahan17a.html.\n\n\nMiller, Charlie. 2019. “Lessons Learned from Hacking a\nCar.” IEEE Design &Amp; Test 36 (6): 7–9. https://doi.org/10.1109/mdat.2018.2863106.\n\n\nMiller, Charlie, and Chris Valasek. 2015. “Remote Exploitation of\nan Unaltered Passenger Vehicle.” Black Hat USA 2015 (S\n91): 1–91.\n\n\nMiller, D. A. B. 2000. “Optical Interconnects to Silicon.”\n#IEEE_J_JSTQE# 6 (6): 1312–17. https://doi.org/10.1109/2944.902184.\n\n\nMills, Andrew, and Stephen Le Hunte. 1997. “An Overview of\nSemiconductor Photocatalysis.” J. Photochem. Photobiol.,\nA 108 (1): 1–35. https://doi.org/10.1016/s1010-6030(97)00118-4.\n\n\nMirhoseini, Azalia, Anna Goldie, Mustafa Yazgan, Joe Wenjie Jiang,\nEbrahim Songhori, Shen Wang, Young-Joon Lee, et al. 2021. “A Graph\nPlacement Methodology for Fast Chip Design.” Nature 594\n(7862): 207–12. https://doi.org/10.1038/s41586-021-03544-w.\n\n\nMishra, Asit K., Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan\nStosic, Ganesh Venkatesh, Chong Yu, and Paulius Micikevicius. 2021.\n“Accelerating Sparse Deep Neural Networks.” CoRR\nabs/2104.08378. https://arxiv.org/abs/2104.08378.\n\n\nMittal, Sparsh, Gaurav Verma, Brajesh Kaushik, and Farooq A. Khanday.\n2021. “A Survey of SRAM-Based in-Memory Computing\nTechniques and Applications.” J. Syst. Architect. 119\n(October): 102276. https://doi.org/10.1016/j.sysarc.2021.102276.\n\n\nModha, Dharmendra S., Filipp Akopyan, Alexander Andreopoulos,\nRathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta,\net al. 2023. “Neural Inference at the Frontier of Energy, Space,\nand Time.” Science 382 (6668): 329–35. https://doi.org/10.1126/science.adh1174.\n\n\nMohanram, K., and N. A. Touba. 2003. “Partial Error Masking to\nReduce Soft Error Failure Rate in Logic Circuits.” In\nProceedings. 16th IEEE Symposium on Computer Arithmetic,\n433–40. IEEE; IEEE Comput. Soc. https://doi.org/10.1109/dftvs.2003.1250141.\n\n\nMonyei, Chukwuka G., and Kirsten E. H. Jenkins. 2018. “Electrons\nHave No Identity: Setting Right Misrepresentations in\nGoogle and Apple’s Clean Energy Purchasing.”\nEnergy Research &Amp; Social Science 46 (December): 48–51.\nhttps://doi.org/10.1016/j.erss.2018.06.015.\n\n\nMoshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim,\nand Ali Raad. 2023. “Reviewing Federated Learning Aggregation\nAlgorithms; Strategies, Contributions, Limitations and Future\nPerspectives.” Electronics 12 (10): 2287. https://doi.org/10.3390/electronics12102287.\n\n\nMukherjee, S. S., J. Emer, and S. K. Reinhardt. 2005. “The Soft\nError Problem: An Architectural Perspective.” In\n11th International Symposium on High-Performance Computer\nArchitecture, 243–47. IEEE; IEEE. https://doi.org/10.1109/hpca.2005.37.\n\n\nMunshi, Aaftab. 2009. “The OpenCL\nSpecification.” In 2009 IEEE Hot Chips 21 Symposium\n(HCS), 1–314. IEEE. https://doi.org/10.1109/hotchips.2009.7478342.\n\n\nMusk, Elon et al. 2019. “An Integrated Brain-Machine Interface\nPlatform with Thousands of Channels.” J. Med. Internet\nRes. 21 (10): e16194. https://doi.org/10.2196/16194.\n\n\nMyllyaho, Lalli, Mikko Raatikainen, Tomi Männistö, Jukka K. Nurminen,\nand Tommi Mikkonen. 2022. “On Misbehaviour and Fault Tolerance in\nMachine Learning Systems.” J. Syst. Software 183\n(January): 111096. https://doi.org/10.1016/j.jss.2021.111096.\n\n\nNakano, Jane. 2021. The Geopolitics of Critical Minerals Supply\nChains. JSTOR.\n\n\nNarayanan, Arvind, and Vitaly Shmatikov. 2006. “How to Break\nAnonymity of the Netflix Prize Dataset.” arXiv Preprint\nCs/0610105.\n\n\nNg, Davy Tsz Kit, Jac Ka Lok Leung, Kai Wah Samuel Chu, and Maggie Shen\nQiao. 2021. “AI Literacy: Definition,\nTeaching, Evaluation and Ethical Issues.” Proceedings of the\nAssociation for Information Science and Technology 58 (1): 504–9.\n\n\nNgo, Richard, Lawrence Chan, and Sören Mindermann. 2022. “The\nAlignment Problem from a Deep Learning Perspective.” ArXiv\nPreprint abs/2209.00626. https://arxiv.org/abs/2209.00626.\n\n\nNguyen, Ngoc-Bao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, and\nNgai-Man Cheung. 2023. “Re-Thinking Model Inversion Attacks\nAgainst Deep Neural Networks.” In 2023 IEEE/CVF Conference on\nComputer Vision and Pattern Recognition (CVPR), 16384–93. IEEE. https://doi.org/10.1109/cvpr52729.2023.01572.\n\n\nNorrie, Thomas, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li,\nJames Laudon, Cliff Young, Norman Jouppi, and David Patterson. 2021.\n“The Design Process for Google’s Training Chips:\nTpuv2 and TPUv3.” IEEE Micro\n41 (2): 56–63. https://doi.org/10.1109/mm.2021.3058217.\n\n\nNorthcutt, Curtis G, Anish Athalye, and Jonas Mueller. 2021.\n“Pervasive Label Errors in Test Sets Destabilize Machine Learning\nBenchmarks.” arXiv. https://doi.org/https://doi.org/10.48550/arXiv.2103.14749\narXiv-issued DOI via DataCite.\n\n\nObermeyer, Ziad, Brian Powers, Christine Vogeli, and Sendhil\nMullainathan. 2019. “Dissecting Racial Bias in an Algorithm Used\nto Manage the Health of Populations.” Science 366\n(6464): 447–53. https://doi.org/10.1126/science.aax2342.\n\n\nOecd. 2023. “A Blueprint for Building National Compute Capacity\nfor Artificial Intelligence.” 350. Organisation for Economic\nCo-Operation; Development (OECD). https://doi.org/10.1787/876367e3-en.\n\n\nOlah, Chris, Nick Cammarata, Ludwig Schubert, Gabriel Goh, Michael\nPetrov, and Shan Carter. 2020. “Zoom in: An\nIntroduction to Circuits.” Distill 5 (3): e00024–001. https://doi.org/10.23915/distill.00024.001.\n\n\nOliynyk, Daryna, Rudolf Mayer, and Andreas Rauber. 2023. “I Know\nWhat You Trained Last Summer: A Survey on Stealing Machine\nLearning Models and Defences.” ACM Comput. Surv. 55\n(14s): 1–41. https://doi.org/10.1145/3595292.\n\n\nOoko, Samson Otieno, Marvin Muyonga Ogore, Jimmy Nsenga, and Marco\nZennaro. 2021. “TinyML in Africa:\nOpportunities and Challenges.” In 2021 IEEE\nGlobecom Workshops (GC Wkshps), 1–6. IEEE; IEEE. https://doi.org/10.1109/gcwkshps52748.2021.9682107.\n\n\nOprea, Alina, Anoop Singhal, and Apostol Vassilev. 2022.\n“Poisoning Attacks Against Machine Learning: Can\nMachine Learning Be Trustworthy?” Computer 55 (11):\n94–99. https://doi.org/10.1109/mc.2022.3190787.\n\n\nPan, Sinno Jialin, and Qiang Yang. 2010. “A Survey on Transfer\nLearning.” IEEE Trans. Knowl. Data Eng. 22 (10):\n1345–59. https://doi.org/10.1109/tkde.2009.191.\n\n\nPanda, Priyadarshini, Indranil Chakraborty, and Kaushik Roy. 2019.\n“Discretization Based Solutions for Secure Machine Learning\nAgainst Adversarial Attacks.” #IEEE_O_ACC# 7: 70157–68.\nhttps://doi.org/10.1109/access.2019.2919463.\n\n\nPapadimitriou, George, and Dimitris Gizopoulos. 2021.\n“Demystifying the System Vulnerability Stack:\nTransient Fault Effects Across the Layers.” In\n2021 ACM/IEEE 48th Annual International Symposium on Computer\nArchitecture (ISCA), 902–15. IEEE; IEEE. https://doi.org/10.1109/isca52012.2021.00075.\n\n\nPapernot, Nicolas, Patrick McDaniel, Xi Wu, Somesh Jha, and Ananthram\nSwami. 2016. “Distillation as a Defense to Adversarial\nPerturbations Against Deep Neural Networks.” In 2016 IEEE\nSymposium on Security and Privacy (SP), 582–97. IEEE; IEEE. https://doi.org/10.1109/sp.2016.41.\n\n\nParrish, Alicia, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max\nBartolo, Oana Inel, Juan Ciro, et al. 2023. “Adversarial Nibbler:\nA Data-Centric Challenge for Improving the Safety of\nText-to-Image Models.” ArXiv Preprint abs/2305.14384. https://arxiv.org/abs/2305.14384.\n\n\nPatterson, David A, and John L Hennessy. 2016. Computer Organization\nand Design ARM Edition: The Hardware Software\nInterface. Morgan kaufmann.\n\n\nPatterson, David, Joseph Gonzalez, Urs Holzle, Quoc Le, Chen Liang,\nLluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, and\nJeff Dean. 2022. “The Carbon Footprint of Machine Learning\nTraining Will Plateau, Then Shrink.” Computer 55 (7):\n18–28. https://doi.org/10.1109/mc.2022.3148714.\n\n\nPeters, Dorian, Rafael A. Calvo, and Richard M. Ryan. 2018.\n“Designing for Motivation, Engagement and Wellbeing in Digital\nExperience.” Front. Psychol. 9 (May): 797. https://doi.org/10.3389/fpsyg.2018.00797.\n\n\nPhillips, P Jonathon, Carina A Hahn, Peter C Fontana, David A\nBroniatowski, and Mark A Przybocki. 2020. “Four Principles of\nExplainable Artificial Intelligence.” Gaithersburg,\nMaryland 18.\n\n\nPlank, James S. 1997. “A Tutorial on\nReedSolomon Coding for Fault-Tolerance in\nRAID-Like Systems.” Software: Practice and\nExperience 27 (9): 995–1012.\n\n\nPont, Michael J, and Royan HL Ong. 2002. “Using Watchdog Timers to\nImprove the Reliability of Single-Processor Embedded Systems:\nSeven New Patterns and a Case Study.” In\nProceedings of the First Nordic Conference on Pattern Languages of\nPrograms, 159–200. Citeseer.\n\n\nPrakash, Shvetank, Tim Callahan, Joseph Bushagour, Colby Banbury, Alan\nV. Green, Pete Warden, Tim Ansell, and Vijay Janapa Reddi. 2023.\n“CFU Playground: Full-stack Open-Source Framework for Tiny Machine\nLearning (TinyML) Acceleration on\nFPGAs.” In 2023 IEEE International Symposium on\nPerformance Analysis of Systems and Software (ISPASS). Vol.\nabs/2201.01863. IEEE. https://doi.org/10.1109/ispass57527.2023.00024.\n\n\nPrakash, Shvetank, Matthew Stewart, Colby Banbury, Mark Mazumder, Pete\nWarden, Brian Plancher, and Vijay Janapa Reddi. 2023. “Is\nTinyML Sustainable? Assessing the Environmental Impacts of\nMachine Learning on Microcontrollers.” ArXiv Preprint.\nhttps://arxiv.org/abs/2301.11899.\n\n\nPsoma, Sotiria D., and Chryso Kanthou. 2023. “Wearable Insulin\nBiosensors for Diabetes Management: Advances and\nChallenges.” Biosensors 13 (7): 719. https://doi.org/10.3390/bios13070719.\n\n\nPushkarna, Mahima, Andrew Zaldivar, and Oddur Kjartansson. 2022.\n“Data Cards: Purposeful and Transparent Dataset\nDocumentation for Responsible AI.” In 2022 ACM\nConference on Fairness, Accountability, and Transparency. ACM. https://doi.org/10.1145/3531146.3533231.\n\n\nPutnam, Andrew, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros\nConstantinides, John Demme, Hadi Esmaeilzadeh, et al. 2014. “A\nReconfigurable Fabric for Accelerating Large-Scale Datacenter\nServices.” ACM SIGARCH Computer Architecture News 42\n(3): 13–24. https://doi.org/10.1145/2678373.2665678.\n\n\nQi, Chen, Shibo Shen, Rongpeng Li, Zhifeng Zhao, Qing Liu, Jing Liang,\nand Honggang Zhang. 2021. “An Efficient Pruning Scheme of Deep\nNeural Networks for Internet of Things Applications.” EURASIP\nJournal on Advances in Signal Processing 2021 (1). https://doi.org/10.1186/s13634-021-00744-4.\n\n\nQian, Yu, Xuegong Zhou, Hao Zhou, and Lingli Wang. 2024. “An\nEfficient Reinforcement Learning Based Framework for Exploring Logic\nSynthesis.” ACM Trans. Des. Autom. Electron. Syst. 29\n(2): 1–33. https://doi.org/10.1145/3632174.\n\n\nR. V., Rashmi, and Karthikeyan A. 2018. “Secure Boot of Embedded\nApplications - a Review.” In 2018 Second International\nConference on Electronics, Communication and Aerospace Technology\n(ICECA), 291–98. IEEE. https://doi.org/10.1109/iceca.2018.8474730.\n\n\nRaina, Rajat, Anand Madhavan, and Andrew Y. Ng. 2009. “Large-Scale\nDeep Unsupervised Learning Using Graphics Processors.” In\nProceedings of the 26th Annual International Conference on Machine\nLearning, edited by Andrea Pohoreckyj Danyluk, Léon Bottou, and\nMichael L. Littman, 382:873–80. ACM International Conference Proceeding\nSeries. ACM. https://doi.org/10.1145/1553374.1553486.\n\n\nRamaswamy, Vikram V., Sunnie S. Y. Kim, Ruth Fong, and Olga Russakovsky.\n2023a. “Overlooked Factors in Concept-Based Explanations:\nDataset Choice, Concept Learnability, and Human\nCapability.” In 2023 IEEE/CVF Conference on Computer Vision\nand Pattern Recognition (CVPR), 10932–41. IEEE. https://doi.org/10.1109/cvpr52729.2023.01052.\n\n\nRamaswamy, Vikram V, Sunnie SY Kim, Ruth Fong, and Olga Russakovsky.\n2023b. “UFO: A Unified Method for\nControlling Understandability and Faithfulness Objectives in\nConcept-Based Explanations for CNNs.” ArXiv\nPreprint abs/2303.15632. https://arxiv.org/abs/2303.15632.\n\n\nRamcharan, Amanda, Kelsee Baranowski, Peter McCloskey, Babuali Ahmed,\nJames Legg, and David P. Hughes. 2017. “Deep Learning for\nImage-Based Cassava Disease Detection.” Front. Plant\nSci. 8 (October): 1852. https://doi.org/10.3389/fpls.2017.01852.\n\n\nRamesh, Aditya, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss,\nAlec Radford, Mark Chen, and Ilya Sutskever. 2021. “Zero-Shot\nText-to-Image Generation.” In Proceedings of the 38th\nInternational Conference on Machine Learning, ICML 2021, 18-24 July\n2021, Virtual Event, edited by Marina Meila and Tong Zhang,\n139:8821–31. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v139/ramesh21a.html.\n\n\nRanganathan, Parthasarathy. 2011. “From Microprocessors to\nNanostores: Rethinking Data-Centric Systems.”\nComputer 44 (1): 39–48. https://doi.org/10.1109/mc.2011.18.\n\n\nRao, Ravi. 2021. Www.wevolver.com. https://www.wevolver.com/article/tinyml-unlocks-new-possibilities-for-sustainable-development-technologies.\n\n\nRashid, Layali, Karthik Pattabiraman, and Sathish Gopalakrishnan. 2012.\n“Intermittent Hardware Errors Recovery: Modeling and\nEvaluation.” In 2012 Ninth International Conference on\nQuantitative Evaluation of Systems, 220–29. IEEE; IEEE. https://doi.org/10.1109/qest.2012.37.\n\n\n———. 2015. “Characterizing the Impact of Intermittent Hardware\nFaults on Programs.” IEEE Trans. Reliab. 64 (1):\n297–310. https://doi.org/10.1109/tr.2014.2363152.\n\n\nRatner, Alex, Braden Hancock, Jared Dunnmon, Roger Goldman, and\nChristopher Ré. 2018. “Snorkel MeTaL: Weak\nSupervision for Multi-Task Learning.” In Proceedings of the\nSecond Workshop on Data Management for End-to-End Machine Learning.\nACM. https://doi.org/10.1145/3209889.3209898.\n\n\nReagen, Brandon, Udit Gupta, Lillian Pentecost, Paul Whatmough, Sae Kyu\nLee, Niamh Mulholland, David Brooks, and Gu-Yeon Wei. 2018. “Ares:\nA Framework for Quantifying the Resilience of Deep Neural\nNetworks.” In 2018 55th ACM/ESDA/IEEE Design Automation\nConference (DAC), 1–6. IEEE. https://doi.org/10.1109/dac.2018.8465834.\n\n\nReagen, Brandon, Jose Miguel Hernandez-Lobato, Robert Adolf, Michael\nGelbart, Paul Whatmough, Gu-Yeon Wei, and David Brooks. 2017. “A\nCase for Efficient Accelerator Design Space Exploration via\nBayesian Optimization.” In 2017 IEEE/ACM\nInternational Symposium on Low Power Electronics and Design\n(ISLPED), 1–6. IEEE; IEEE. https://doi.org/10.1109/islped.2017.8009208.\n\n\nReddi, Vijay Janapa, Christine Cheng, David Kanter, Peter Mattson,\nGuenther Schmuelling, Carole-Jean Wu, Brian Anderson, et al. 2020.\n“MLPerf Inference Benchmark.” In 2020\nACM/IEEE 47th Annual International Symposium on Computer Architecture\n(ISCA), 446–59. IEEE; IEEE. https://doi.org/10.1109/isca45697.2020.00045.\n\n\nReddi, Vijay Janapa, and Meeta Sharma Gupta. 2013. Resilient\nArchitecture Design for Voltage Variation. Springer International\nPublishing. https://doi.org/10.1007/978-3-031-01739-1.\n\n\nReis, G. A., J. Chang, N. Vachharajani, R. Rangan, and D. I. August.\n2005. “SWIFT: Software Implemented Fault\nTolerance.” In International Symposium on Code Generation and\nOptimization, 243–54. IEEE; IEEE. https://doi.org/10.1109/cgo.2005.34.\n\n\nRibeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. 2016.\n“” Why Should i Trust You?” Explaining\nthe Predictions of Any Classifier.” In Proceedings of the\n22nd ACM SIGKDD International Conference on Knowledge Discovery and Data\nMining, 1135–44.\n\n\nRobbins, Herbert, and Sutton Monro. 1951. “A Stochastic\nApproximation Method.” The Annals of Mathematical\nStatistics 22 (3): 400–407. https://doi.org/10.1214/aoms/1177729586.\n\n\nRombach, Robin, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and\nBjorn Ommer. 2022. “High-Resolution Image Synthesis with Latent\nDiffusion Models.” In 2022 IEEE/CVF Conference on Computer\nVision and Pattern Recognition (CVPR). IEEE. https://doi.org/10.1109/cvpr52688.2022.01042.\n\n\nRosa, Gustavo H. de, and João P. Papa. 2021. “A Survey on Text\nGeneration Using Generative Adversarial Networks.” Pattern\nRecogn. 119 (November): 108098. https://doi.org/10.1016/j.patcog.2021.108098.\n\n\nRosenblatt, Frank. 1957. The Perceptron, a Perceiving and\nRecognizing Automaton Project Para. Cornell Aeronautical\nLaboratory.\n\n\nRoskies, Adina. 2002. “Neuroethics for the New Millenium.”\nNeuron 35 (1): 21–23. https://doi.org/10.1016/s0896-6273(02)00763-8.\n\n\nRuder, Sebastian. 2016. “An Overview of Gradient Descent\nOptimization Algorithms.” ArXiv Preprint abs/1609.04747.\nhttps://arxiv.org/abs/1609.04747.\n\n\nRudin, Cynthia. 2019. “Stop Explaining Black Box Machine Learning\nModels for High Stakes Decisions and Use Interpretable Models\nInstead.” Nature Machine Intelligence 1 (5): 206–15. https://doi.org/10.1038/s42256-019-0048-x.\n\n\nRumelhart, David E., Geoffrey E. Hinton, and Ronald J. Williams. 1986.\n“Learning Representations by Back-Propagating Errors.”\nNature 323 (6088): 533–36. https://doi.org/10.1038/323533a0.\n\n\nRussakovsky, Olga, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh,\nSean Ma, Zhiheng Huang, et al. 2015. “ImageNet Large\nScale Visual Recognition Challenge.” Int. J. Comput.\nVision 115 (3): 211–52. https://doi.org/10.1007/s11263-015-0816-y.\n\n\nRussell, Stuart. 2021. “Human-Compatible Artificial\nIntelligence.” Human-Like Machine Intelligence, 3–23.\n\n\nRyan, Richard M., and Edward L. Deci. 2000. “Self-Determination\nTheory and the Facilitation of Intrinsic Motivation, Social Development,\nand Well-Being.” Am. Psychol. 55 (1): 68–78. https://doi.org/10.1037/0003-066x.55.1.68.\n\n\nSamajdar, Ananda, Yuhao Zhu, Paul Whatmough, Matthew Mattina, and Tushar\nKrishna. 2018. “Scale-Sim: Systolic Cnn Accelerator\nSimulator.” ArXiv Preprint abs/1811.02883. https://arxiv.org/abs/1811.02883.\n\n\nSambasivan, Nithya, Shivani Kapania, Hannah Highfill, Diana Akrong,\nPraveen Paritosh, and Lora M Aroyo. 2021a.\n““Everyone Wants to Do the Model Work,\nNot the Data Work”: Data Cascades in\nHigh-Stakes AI.” In Proceedings of the 2021 CHI\nConference on Human Factors in Computing Systems, 1–15. ACM. https://doi.org/10.1145/3411764.3445518.\n\n\n———. 2021b. ““Everyone Wants to Do the\nModel Work, Not the Data Work”: Data Cascades\nin High-Stakes AI.” In Proceedings of the 2021\nCHI Conference on Human Factors in Computing Systems. CHI ’21. New\nYork, NY, USA: ACM. https://doi.org/10.1145/3411764.3445518.\n\n\n———. 2021c. ““Everyone Wants to Do the\nModel Work, Not the Data Work”: Data Cascades\nin High-Stakes AI.” In Proceedings of the 2021\nCHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3411764.3445518.\n\n\nSangchoolie, Behrooz, Karthik Pattabiraman, and Johan Karlsson. 2017.\n“One Bit Is (Not) Enough: An Empirical\nStudy of the Impact of Single and Multiple Bit-Flip Errors.” In\n2017 47th Annual IEEE/IFIP International Conference on Dependable\nSystems and Networks (DSN), 97–108. IEEE; IEEE. https://doi.org/10.1109/dsn.2017.30.\n\n\nSchäfer, Mike S. 2023. “The Notorious GPT:\nScience Communication in the Age of Artificial\nIntelligence.” Journal of Science Communication 22 (02):\nY02. https://doi.org/10.22323/2.22020402.\n\n\nSchizas, Nikolaos, Aristeidis Karras, Christos Karras, and Spyros\nSioutas. 2022. “TinyML for Ultra-Low Power\nAI and Large Scale IoT Deployments:\nA Systematic Review.” Future Internet 14\n(12): 363. https://doi.org/10.3390/fi14120363.\n\n\nSchuman, Catherine D., Shruti R. Kulkarni, Maryam Parsa, J. Parker\nMitchell, Prasanna Date, and Bill Kay. 2022. “Opportunities for\nNeuromorphic Computing Algorithms and Applications.” Nature\nComputational Science 2 (1): 10–19. https://doi.org/10.1038/s43588-021-00184-y.\n\n\nSchwartz, Daniel, Jonathan Michael Gomes Selman, Peter Wrege, and\nAndreas Paepcke. 2021. “Deployment of Embedded\nEdge-AI for Wildlife Monitoring in Remote Regions.”\nIn 2021 20th IEEE International Conference on Machine Learning and\nApplications (ICMLA), 1035–42. IEEE; IEEE. https://doi.org/10.1109/icmla52953.2021.00170.\n\n\nSchwartz, Roy, Jesse Dodge, Noah A. Smith, and Oren Etzioni. 2020.\n“Green AI.” Commun. ACM 63 (12):\n54–63. https://doi.org/10.1145/3381831.\n\n\nSegal, Mark, and Kurt Akeley. 1999. “The OpenGL\nGraphics System: A Specification (Version 1.1).”\n\n\nSegura Anaya, L. H., Abeer Alsadoon, N. Costadopoulos, and P. W. C.\nPrasad. 2017. “Ethical Implications of User Perceptions of\nWearable Devices.” Sci. Eng. Ethics 24 (1): 1–28. https://doi.org/10.1007/s11948-017-9872-8.\n\n\nSeide, Frank, and Amit Agarwal. 2016. “Cntk: Microsoft’s\nOpen-Source Deep-Learning Toolkit.” In Proceedings of the\n22nd ACM SIGKDD International Conference on Knowledge Discovery and Data\nMining, 2135–35. ACM. https://doi.org/10.1145/2939672.2945397.\n\n\nSelvaraju, Ramprasaath R., Michael Cogswell, Abhishek Das, Ramakrishna\nVedantam, Devi Parikh, and Dhruv Batra. 2017.\n“Grad-CAM: Visual Explanations from Deep\nNetworks via Gradient-Based Localization.” In 2017 IEEE\nInternational Conference on Computer Vision (ICCV), 618–26. IEEE.\nhttps://doi.org/10.1109/iccv.2017.74.\n\n\nSeong, Nak Hee, Dong Hyuk Woo, Vijayalakshmi Srinivasan, Jude A. Rivers,\nand Hsien-Hsin S. Lee. 2010. “SAFER: Stuck-at-fault Error Recovery for\nMemories.” In 2010 43rd Annual IEEE/ACM International\nSymposium on Microarchitecture, 115–24. IEEE; IEEE. https://doi.org/10.1109/micro.2010.46.\n\n\nSeyedzadeh, Saleh, Farzad Pour Rahimian, Ivan Glesk, and Marc Roper.\n2018. “Machine Learning for Estimation of Building Energy\nConsumption and Performance: A Review.”\nVisualization in Engineering 6 (1): 1–20. https://doi.org/10.1186/s40327-018-0064-7.\n\n\nShalev-Shwartz, Shai, Shaked Shammah, and Amnon Shashua. 2017. “On\na Formal Model of Safe and Scalable Self-Driving Cars.” ArXiv\nPreprint abs/1708.06374. https://arxiv.org/abs/1708.06374.\n\n\nShan, Shawn, Wenxin Ding, Josephine Passananti, Haitao Zheng, and Ben Y\nZhao. 2023. “Prompt-Specific Poisoning Attacks on Text-to-Image\nGenerative Models.” ArXiv Preprint abs/2310.13828. https://arxiv.org/abs/2310.13828.\n\n\nShastri, Bhavin J., Alexander N. Tait, T. Ferreira de Lima, Wolfram H.\nP. Pernice, Harish Bhaskaran, C. D. Wright, and Paul R. Prucnal. 2021.\n“Photonics for Artificial Intelligence and Neuromorphic\nComputing.” Nat. Photonics 15 (2): 102–14. https://doi.org/10.1038/s41566-020-00754-y.\n\n\nSheaffer, Jeremy W, David P Luebke, and Kevin Skadron. 2007. “A\nHardware Redundancy and Recovery Mechanism for Reliable Scientific\nComputation on Graphics Processors.” In Graphics\nHardware, 2007:55–64. Citeseer.\n\n\nShehabi, Arman, Sarah Smith, Dale Sartor, Richard Brown, Magnus Herrlin,\nJonathan Koomey, Eric Masanet, Nathaniel Horner, Inês Azevedo, and\nWilliam Lintner. 2016. “United States Data Center Energy Usage\nReport.”\n\n\nShen, Sheng, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami,\nMichael W. Mahoney, and Kurt Keutzer. 2020. “Q-BERT:\nHessian Based Ultra Low Precision Quantization of\nBERT.” Proceedings of the AAAI Conference on\nArtificial Intelligence 34 (05): 8815–21. https://doi.org/10.1609/aaai.v34i05.6409.\n\n\nSheng, Victor S., and Jing Zhang. 2019. “Machine Learning with\nCrowdsourcing: A Brief Summary of the Past Research and\nFuture Directions.” Proceedings of the AAAI Conference on\nArtificial Intelligence 33 (01): 9837–43. https://doi.org/10.1609/aaai.v33i01.33019837.\n\n\nShi, Hongrui, and Valentin Radu. 2022. “Data Selection for\nEfficient Model Update in Federated Learning.” In Proceedings\nof the 2nd European Workshop on Machine Learning and Systems,\n72–78. ACM. https://doi.org/10.1145/3517207.3526980.\n\n\nShneiderman, Ben. 2020. “Bridging the Gap Between Ethics and\nPractice: Guidelines for Reliable, Safe, and Trustworthy Human-Centered\nAI Systems.” ACM Trans. Interact. Intell. Syst. 10 (4):\n1–31. https://doi.org/10.1145/3419764.\n\n\n———. 2022. Human-Centered AI. Oxford University\nPress.\n\n\nShokri, Reza, Marco Stronati, Congzheng Song, and Vitaly Shmatikov.\n2017. “Membership Inference Attacks Against Machine Learning\nModels.” In 2017 IEEE Symposium on Security and Privacy\n(SP), 3–18. IEEE; IEEE. https://doi.org/10.1109/sp.2017.41.\n\n\nSiddik, Md Abu Bakar, Arman Shehabi, and Landon Marston. 2021.\n“The Environmental Footprint of Data Centers in the United\nStates.” Environ. Res. Lett. 16 (6): 064017. https://doi.org/10.1088/1748-9326/abfba1.\n\n\nSilvestro, Daniele, Stefano Goria, Thomas Sterner, and Alexandre\nAntonelli. 2022. “Improving Biodiversity Protection Through\nArtificial Intelligence.” Nature Sustainability 5 (5):\n415–24. https://doi.org/10.1038/s41893-022-00851-6.\n\n\nSingh, Narendra, and Oladele A. Ogunseitan. 2022. “Disentangling\nthe Worldwide Web of e-Waste and Climate Change Co-Benefits.”\nCircular Economy 1 (2): 100011. https://doi.org/10.1016/j.cec.2022.100011.\n\n\nSkorobogatov, Sergei. 2009. “Local Heating Attacks on Flash Memory\nDevices.” In 2009 IEEE International Workshop on\nHardware-Oriented Security and Trust, 1–6. IEEE; IEEE. https://doi.org/10.1109/hst.2009.5225028.\n\n\nSkorobogatov, Sergei P, and Ross J Anderson. 2003. “Optical Fault\nInduction Attacks.” In Cryptographic Hardware and Embedded\nSystems-CHES 2002: 4th International Workshop Redwood Shores, CA, USA,\nAugust 1315, 2002 Revised Papers 4, 2–12. Springer.\n\n\nSmilkov, Daniel, Nikhil Thorat, Been Kim, Fernanda Viégas, and Martin\nWattenberg. 2017. “Smoothgrad: Removing Noise by\nAdding Noise.” ArXiv Preprint abs/1706.03825. https://arxiv.org/abs/1706.03825.\n\n\nSnoek, Jasper, Hugo Larochelle, and Ryan P. Adams. 2012.\n“Practical Bayesian Optimization of Machine Learning\nAlgorithms.” In Advances in Neural Information Processing\nSystems 25: 26th Annual Conference on Neural Information Processing\nSystems 2012. Proceedings of a Meeting Held December 3-6, 2012, Lake\nTahoe, Nevada, United States, edited by Peter L. Bartlett, Fernando\nC. N. Pereira, Christopher J. C. Burges, Léon Bottou, and Kilian Q.\nWeinberger, 2960–68. https://proceedings.neurips.cc/paper/2012/hash/05311655a15b75fab86956663e1819cd-Abstract.html.\n\n\nSrivastava, Nitish, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever,\nand Ruslan Salakhutdinov. 2014. “Dropout: A Simple\nWay to Prevent Neural Networks from Overfitting.” J. Mach.\nLearn. Res. http://jmlr.org/papers/v15/srivastava14a.html.\n\n\nStm32L4Q5Ag. 2021. STMicroelectronics.\n\n\nStrubell, Emma, Ananya Ganesh, and Andrew McCallum. 2019. “Energy\nand Policy Considerations for Deep Learning in NLP.”\nIn Proceedings of the 57th Annual Meeting of the Association for\nComputational Linguistics, 3645–50. Florence, Italy: Association\nfor Computational Linguistics. https://doi.org/10.18653/v1/p19-1355.\n\n\nSuda, Naveen, Vikas Chandra, Ganesh Dasika, Abinash Mohanty, Yufei Ma,\nSarma Vrudhula, Jae-sun Seo, and Yu Cao. 2016.\n“Throughput-Optimized OpenCL-Based FPGA\nAccelerator for Large-Scale Convolutional Neural Networks.” In\nProceedings of the 2016 ACM/SIGDA International Symposium on\nField-Programmable Gate Arrays, 16–25. ACM. https://doi.org/10.1145/2847263.2847276.\n\n\nSudhakar, Soumya, Vivienne Sze, and Sertac Karaman. 2023. “Data\nCenters on Wheels: Emissions from Computing Onboard\nAutonomous Vehicles.” IEEE Micro 43 (1): 29–39. https://doi.org/10.1109/mm.2022.3219803.\n\n\nSze, Vivienne, Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer. 2017.\n“Efficient Processing of Deep Neural Networks: A\nTutorial and Survey.” Proc. IEEE 105 (12): 2295–2329. https://doi.org/10.1109/jproc.2017.2761740.\n\n\nSzegedy, Christian, Wojciech Zaremba, Ilya Sutskever, Joan Bruna,\nDumitru Erhan, Ian J. Goodfellow, and Rob Fergus. 2014.\n“Intriguing Properties of Neural Networks.” In 2nd\nInternational Conference on Learning Representations, ICLR 2014, Banff,\nAB, Canada, April 14-16, 2014, Conference Track Proceedings, edited\nby Yoshua Bengio and Yann LeCun. http://arxiv.org/abs/1312.6199.\n\n\nTambe, Thierry, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa\nReddi, Alexander Rush, David Brooks, and Gu-Yeon Wei. 2020.\n“Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings\nfor Resilient Deep Learning Inference.” In 2020 57th ACM/IEEE\nDesign Automation Conference (DAC), 1–6. IEEE; IEEE. https://doi.org/10.1109/dac18072.2020.9218516.\n\n\nTan, Mingxing, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler,\nAndrew Howard, and Quoc V. Le. 2019. “MnasNet: Platform-aware Neural Architecture Search for\nMobile.” In 2019 IEEE/CVF Conference on Computer Vision and\nPattern Recognition (CVPR), 2820–28. IEEE. https://doi.org/10.1109/cvpr.2019.00293.\n\n\nTan, Mingxing, and Quoc V. Le. 2023. “Demystifying Deep\nLearning.” Wiley. https://doi.org/10.1002/9781394205639.ch6.\n\n\nTang, Xin, Yichun He, and Jia Liu. 2022. “Soft Bioelectronics for\nCardiac Interfaces.” Biophysics Reviews 3 (1). https://doi.org/10.1063/5.0069516.\n\n\nTang, Xin, Hao Shen, Siyuan Zhao, Na Li, and Jia Liu. 2023.\n“Flexible Braincomputer Interfaces.”\nNature Electronics 6 (2): 109–18. https://doi.org/10.1038/s41928-022-00913-9.\n\n\nTarun, Ayush K, Vikram S Chundawat, Murari Mandal, and Mohan\nKankanhalli. 2022. “Deep Regression Unlearning.” ArXiv\nPreprint abs/2210.08196. https://arxiv.org/abs/2210.08196.\n\n\nTeam, The Theano Development, Rami Al-Rfou, Guillaume Alain, Amjad\nAlmahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, et\nal. 2016. “Theano: A Python Framework for Fast\nComputation of Mathematical Expressions.” https://arxiv.org/abs/1605.02688.\n\n\n“The Ultimate Guide to Deep Learning Model Quantization and\nQuantization-Aware Training.” n.d. https://deci.ai/quantization-and-quantization-aware-training/.\n\n\nThompson, Neil C., Kristjan Greenewald, Keeheon Lee, and Gabriel F.\nManso. 2021. “Deep Learning’s Diminishing Returns:\nThe Cost of Improvement Is Becoming Unsustainable.”\nIEEE Spectr. 58 (10): 50–55. https://doi.org/10.1109/mspec.2021.9563954.\n\n\nTill, Aaron, Andrew L. Rypel, Andrew Bray, and Samuel B. Fey. 2019.\n“Fish Die-Offs Are Concurrent with Thermal Extremes in North\nTemperate Lakes.” Nat. Clim. Change 9 (8): 637–41. https://doi.org/10.1038/s41558-019-0520-y.\n\n\nTirtalistyani, Rose, Murtiningrum Murtiningrum, and Rameshwar S. Kanwar.\n2022. “Indonesia Rice Irrigation System:\nTime for Innovation.” Sustainability 14\n(19): 12477. https://doi.org/10.3390/su141912477.\n\n\nTokui, Seiya, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa,\nShunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, and Hiroyuki\nYamazaki Vincent. 2019. “Chainer: A Deep Learning Framework for\nAccelerating the Research Cycle.” In Proceedings of the 25th\nACM SIGKDD International Conference on Knowledge Discovery &Amp;\nData Mining, 5:1–6. ACM. https://doi.org/10.1145/3292500.3330756.\n\n\nTramèr, Florian, Pascal Dupré, Gili Rusak, Giancarlo Pellegrino, and Dan\nBoneh. 2019. “AdVersarial: Perceptual Ad Blocking\nMeets Adversarial Machine Learning.” In Proceedings of the\n2019 ACM SIGSAC Conference on Computer and Communications Security,\n2005–21. ACM. https://doi.org/10.1145/3319535.3354222.\n\n\nTsai, Min-Jen, Ping-Yi Lin, and Ming-En Lee. 2023. “Adversarial\nAttacks on Medical Image Classification.” Cancers 15\n(17): 4228. https://doi.org/10.3390/cancers15174228.\n\n\nTsai, Timothy, Siva Kumar Sastry Hari, Michael Sullivan, Oreste Villa,\nand Stephen W. Keckler. 2021. “NVBitFI:\nDynamic Fault Injection for GPUs.” In\n2021 51st Annual IEEE/IFIP International Conference on Dependable\nSystems and Networks (DSN), 284–91. IEEE; IEEE. https://doi.org/10.1109/dsn48987.2021.00041.\n\n\nUddin, Mueen, and Azizah Abdul Rahman. 2012. “Energy Efficiency\nand Low Carbon Enabler Green IT Framework for Data Centers\nConsidering Green Metrics.” Renewable Sustainable Energy\nRev. 16 (6): 4078–94. https://doi.org/10.1016/j.rser.2012.03.014.\n\n\nUn, and World Economic Forum. 2019. A New Circular Vision for\nElectronics, Time for a Global Reboot. PACE - Platform for\nAccelerating the Circular Economy. https://www3.weforum.org/docs/WEF\\_A\\_New\\_Circular\\_Vision\\_for\\_Electronics.pdf.\n\n\nValenzuela, Christine L, and Pearl Y Wang. 2000. “A Genetic\nAlgorithm for VLSI Floorplanning.” In Parallel\nProblem Solving from Nature PPSN VI: 6th International Conference Paris,\nFrance, September 1820, 2000 Proceedings 6, 671–80.\nSpringer.\n\n\nVan Noorden, Richard. 2016. “ArXiv Preprint Server\nPlans Multimillion-Dollar Overhaul.” Nature 534 (7609):\n602–2. https://doi.org/10.1038/534602a.\n\n\nVangal, Sriram, Somnath Paul, Steven Hsu, Amit Agarwal, Saurabh Kumar,\nRam Krishnamurthy, Harish Krishnamurthy, James Tschanz, Vivek De, and\nChris H. Kim. 2021. “Wide-Range Many-Core SoC Design\nin Scaled CMOS: Challenges and\nOpportunities.” IEEE Trans. Very Large Scale Integr. VLSI\nSyst. 29 (5): 843–56. https://doi.org/10.1109/tvlsi.2021.3061649.\n\n\nVaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion\nJones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017.\n“Attention Is All You Need.” Advances in Neural\nInformation Processing Systems 30.\n\n\n“Vector-Borne Diseases.” n.d.\nhttps://www.who.int/news-room/fact-sheets/detail/vector-borne-diseases.\n\n\nVelazco, Raoul, Gilles Foucard, and Paul Peronnard. 2010.\n“Combining Results of Accelerated Radiation Tests and Fault\nInjections to Predict the Error Rate of an Application Implemented in\nSRAM-Based FPGAs.” IEEE Trans.\nNucl. Sci. 57 (6): 3500–3505. https://doi.org/10.1109/tns.2010.2087355.\n\n\nVerma, Naveen, Hongyang Jia, Hossein Valavi, Yinqi Tang, Murat Ozatay,\nLung-Yen Chen, Bonan Zhang, and Peter Deaville. 2019. “In-Memory\nComputing: Advances and Prospects.” IEEE\nSolid-State Circuits Mag. 11 (3): 43–55. https://doi.org/10.1109/mssc.2019.2922889.\n\n\nVerma, Team Dual_Boot: Swapnil. 2022. “Elephant\nAI.” Hackster.io. https://www.hackster.io/dual\\_boot/elephant-ai-ba71e9.\n\n\nVinuesa, Ricardo, Hossein Azizpour, Iolanda Leite, Madeline Balaam,\nVirginia Dignum, Sami Domisch, Anna Felländer, Simone Daniela Langhans,\nMax Tegmark, and Francesco Fuso Nerini. 2020. “The Role of\nArtificial Intelligence in Achieving the Sustainable Development\nGoals.” Nat. Commun. 11 (1): 1–10. https://doi.org/10.1038/s41467-019-14108-y.\n\n\nVivet, Pascal, Eric Guthmuller, Yvain Thonnart, Gael Pillonnet, Cesar\nFuguet, Ivan Miro-Panades, Guillaume Moritz, et al. 2021.\n“IntAct: A 96-Core Processor with Six\nChiplets 3D-Stacked on an Active Interposer with\nDistributed Interconnects and Integrated Power Management.”\nIEEE J. Solid-State Circuits 56 (1): 79–97. https://doi.org/10.1109/jssc.2020.3036341.\n\n\nWachter, Sandra, Brent Mittelstadt, and Chris Russell. 2017.\n“Counterfactual Explanations Without Opening the Black Box:\nAutomated Decisions and the GDPR.”\nSSRN Electronic Journal 31: 841. https://doi.org/10.2139/ssrn.3063289.\n\n\nWald, Peter H., and Jeffrey R. Jones. 1987. “Semiconductor\nManufacturing: An Introduction to Processes and\nHazards.” Am. J. Ind. Med. 11 (2): 203–21. https://doi.org/10.1002/ajim.4700110209.\n\n\nWan, Zishen, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi,\nand Arijit Raychowdhury. 2021. “Analyzing and Improving Fault\nTolerance of Learning-Based Navigation Systems.” In 2021 58th\nACM/IEEE Design Automation Conference (DAC), 841–46. IEEE; IEEE. https://doi.org/10.1109/dac18074.2021.9586116.\n\n\nWan, Zishen, Yiming Gan, Bo Yu, S Liu, A Raychowdhury, and Y Zhu. 2023.\n“Vpp: The Vulnerability-Proportional Protection\nParadigm Towards Reliable Autonomous Machines.” In\nProceedings of the 5th International Workshop on Domain Specific\nSystem Architecture (DOSSA), 1–6.\n\n\nWang, LingFeng, and YaQing Zhan. 2019a. “A Conceptual Peer Review\nModel for arXiv and Other Preprint\nDatabases.” Learn. Publ. 32 (3): 213–19. https://doi.org/10.1002/leap.1229.\n\n\n———. 2019b. “A Conceptual Peer Review Model for arXiv and Other Preprint Databases.”\nLearn. Publ. 32 (3): 213–19. https://doi.org/10.1002/leap.1229.\n\n\nWang, Tianzhe, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang,\nYujun Lin, and Song Han. 2020. “APQ:\nJoint Search for Network Architecture, Pruning and\nQuantization Policy.” In 2020 IEEE/CVF Conference on Computer\nVision and Pattern Recognition (CVPR), 2075–84. IEEE. https://doi.org/10.1109/cvpr42600.2020.00215.\n\n\nWarden, Pete. 2018. “Speech Commands: A Dataset for\nLimited-Vocabulary Speech Recognition.” arXiv Preprint\narXiv:1804.03209.\n\n\nWarden, Pete, and Daniel Situnayake. 2019. Tinyml:\nMachine Learning with Tensorflow Lite on Arduino and\nUltra-Low-Power Microcontrollers. O’Reilly Media.\n\n\nWeik, Martin H. 1955. A Survey of Domestic Electronic Digital\nComputing Systems. Ballistic Research Laboratories.\n\n\nWeiser, Mark. 1991. “The Computer for the 21st Century.”\nSci. Am. 265 (3): 94–104. https://doi.org/10.1038/scientificamerican0991-94.\n\n\nWess, Matthias, Matvey Ivanov, Christoph Unger, and Anvesh Nookala.\n2020. “ANNETTE: Accurate Neural Network Execution Time Estimation\nwith Stacked Models.” IEEE. https://doi.org/10.1109/ACCESS.2020.3047259.\n\n\nWiener, Norbert. 1960. “Some Moral and Technical Consequences of\nAutomation: As Machines Learn They May Develop Unforeseen Strategies at\nRates That Baffle Their Programmers.” Science 131\n(3410): 1355–58. https://doi.org/10.1126/science.131.3410.1355.\n\n\nWilkening, Mark, Vilas Sridharan, Si Li, Fritz Previlon, Sudhanva\nGurumurthi, and David R. Kaeli. 2014. “Calculating Architectural\nVulnerability Factors for Spatial Multi-Bit Transient Faults.” In\n2014 47th Annual IEEE/ACM International Symposium on\nMicroarchitecture, 293–305. IEEE; IEEE. https://doi.org/10.1109/micro.2014.15.\n\n\nWinkler, Harald, Franck Lecocq, Hans Lofgren, Maria Virginia Vilariño,\nSivan Kartha, and Joana Portugal-Pereira. 2022. “Examples of\nShifting Development Pathways: Lessons on How to Enable\nBroader, Deeper, and Faster Climate Action.” Climate\nAction 1 (1). https://doi.org/10.1007/s44168-022-00026-1.\n\n\nWong, H.-S. Philip, Heng-Yuan Lee, Shimeng Yu, Yu-Sheng Chen, Yi Wu,\nPang-Shiu Chen, Byoungil Lee, Frederick T. Chen, and Ming-Jinn Tsai.\n2012. “MetalOxide\nRRAM.” Proc. IEEE 100 (6): 1951–70. https://doi.org/10.1109/jproc.2012.2190369.\n\n\nWu, Bichen, Kurt Keutzer, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang,\nFei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, and Yangqing Jia. 2019.\n“FBNet: Hardware-aware\nEfficient ConvNet Design via Differentiable Neural\nArchitecture Search.” In 2019 IEEE/CVF Conference on Computer\nVision and Pattern Recognition (CVPR), 10734–42. IEEE. https://doi.org/10.1109/cvpr.2019.01099.\n\n\nWu, Carole-Jean, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha\nArdalani, Kiwan Maeng, Gloria Chang, et al. 2022. “Sustainable Ai:\nEnvironmental Implications, Challenges and\nOpportunities.” Proceedings of Machine Learning and\nSystems 4: 795–813.\n\n\nWu, Zhang Judd, and Micikevicius Isaev. 2020. “Integer\nQuantization for Deep Learning Inference: Principles and\nEmpirical Evaluation).” ArXiv Preprint. https://arxiv.org/abs/2004.09602.\n\n\nXiao, Seznec Lin, Demouth Wu, and Han. 2022.\n“SmoothQuant: Accurate and Efficient\nPost-Training Quantization for Large Language Models.” ArXiv\nPreprint. https://arxiv.org/abs/2211.10438.\n\n\nXie, Cihang, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, and\nQuoc V. Le. 2020. “Adversarial Examples Improve Image\nRecognition.” In 2020 IEEE/CVF Conference on Computer Vision\nand Pattern Recognition (CVPR), 816–25. IEEE. https://doi.org/10.1109/cvpr42600.2020.00090.\n\n\nXie, Saining, Ross Girshick, Piotr Dollar, Zhuowen Tu, and Kaiming He.\n2017. “Aggregated Residual Transformations for Deep Neural\nNetworks.” In 2017 IEEE Conference on Computer Vision and\nPattern Recognition (CVPR), 1492–1500. IEEE. https://doi.org/10.1109/cvpr.2017.634.\n\n\nXinyu, Chen. n.d.\n\n\nXiong, Siyu, Guoqing Wu, Xitian Fan, Xuan Feng, Zhongcheng Huang, Wei\nCao, Xuegong Zhou, et al. 2021. “MRI-Based Brain\nTumor Segmentation Using FPGA-Accelerated Neural\nNetwork.” BMC Bioinf. 22 (1): 421. https://doi.org/10.1186/s12859-021-04347-6.\n\n\nXiu, Liming. 2019. “Time Moore: Exploiting Moore’s Law from the Perspective of Time.”\nIEEE Solid-State Circuits Mag. 11 (1): 39–55. https://doi.org/10.1109/mssc.2018.2882285.\n\n\nXu, Chen, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong\nWang, and Hongbin Zha. 2018. “Alternating Multi-Bit Quantization\nfor Recurrent Neural Networks.” In 6th International\nConference on Learning Representations, ICLR 2018, Vancouver, BC,\nCanada, April 30 - May 3, 2018, Conference Track Proceedings.\nOpenReview.net. https://openreview.net/forum?id=S19dR9x0b.\n\n\nXu, Hu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes,\nVasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, and Christoph\nFeichtenhofer. 2023. “Demystifying CLIP Data.”\nArXiv Preprint abs/2309.16671. https://arxiv.org/abs/2309.16671.\n\n\nXu, Ying, Xu Zhong, Antonio Jimeno Yepes, and Jey Han Lau. 2021.\n“Grey-Box Adversarial Attack and Defence for\nSentiment Classification.” arXiv Preprint\narXiv:2103.11576.\n\n\nXu, Zheng, Yanxiang Zhang, Galen Andrew, Christopher A Choquette-Choo,\nPeter Kairouz, H Brendan McMahan, Jesse Rosenstock, and Yuanbo Zhang.\n2023. “Federated Learning of Gboard Language Models with\nDifferential Privacy.” ArXiv Preprint abs/2305.18465. https://arxiv.org/abs/2305.18465.\n\n\nYang, Tien-Ju, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv\nMathews, and Mingqing Chen. 2023. “Online Model Compression for\nFederated Learning with Large Models.” In ICASSP 2023 - 2023\nIEEE International Conference on Acoustics, Speech and Signal Processing\n(ICASSP), 1–5. IEEE; IEEE. https://doi.org/10.1109/icassp49357.2023.10097124.\n\n\nYao, Zhewei, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric\nTan, Leyuan Wang, et al. 2021. “Hawq-V3: Dyadic Neural Network\nQuantization.” In International Conference on Machine\nLearning, 11875–86. PMLR.\n\n\nYe, Linfeng, and Shayan Mohajer Hamidi. 2021. “Thundernna:\nA White Box Adversarial Attack.” arXiv Preprint\narXiv:2111.12305.\n\n\nYeh, Y. C. 1996. “Triple-Triple Redundant 777 Primary Flight\nComputer.” In 1996 IEEE Aerospace Applications Conference.\nProceedings, 1:293–307. IEEE; IEEE. https://doi.org/10.1109/aero.1996.495891.\n\n\nYik, Jason, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas\nG. Andreou, Chiara Bartolozzi, Arindam Basu, et al. 2023.\n“NeuroBench: Advancing Neuromorphic\nComputing Through Collaborative, Fair and Representative\nBenchmarking.” https://arxiv.org/abs/2304.04640.\n\n\nYou, Jie, Jae-Won Chung, and Mosharaf Chowdhury. 2023. “Zeus:\nUnderstanding and Optimizing GPU Energy\nConsumption of DNN Training.” In 20th USENIX\nSymposium on Networked Systems Design and Implementation (NSDI 23),\n119–39. Boston, MA: USENIX Association. https://www.usenix.org/conference/nsdi23/presentation/you.\n\n\nYou, Yang, Zhao Zhang, Cho-Jui Hsieh, James Demmel, and Kurt Keutzer.\n2018. “ImageNet Training in Minutes.” https://arxiv.org/abs/1709.05011.\n\n\nYoung, Tom, Devamanyu Hazarika, Soujanya Poria, and Erik Cambria. 2018.\n“Recent Trends in Deep Learning Based Natural Language Processing\n[Review Article].” IEEE Comput. Intell.\nMag. 13 (3): 55–75. https://doi.org/10.1109/mci.2018.2840738.\n\n\nYu, Yuan, Martı́n Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy\nDavis, Jeff Dean, et al. 2018. “Dynamic Control Flow in\nLarge-Scale Machine Learning.” In Proceedings of the\nThirteenth EuroSys Conference, 265–83. ACM. https://doi.org/10.1145/3190508.3190551.\n\n\nZafrir, Ofir, Guy Boudoukh, Peter Izsak, and Moshe Wasserblat. 2019.\n“Q8BERT: Quantized 8Bit\nBERT.” In 2019 Fifth Workshop on Energy\nEfficient Machine Learning and Cognitive Computing - NeurIPS Edition\n(EMC2-NIPS), 36–39. IEEE; IEEE. https://doi.org/10.1109/emc2-nips53020.2019.00016.\n\n\nZeiler, Matthew D. 2012. “Reinforcement and Systemic Machine\nLearning for Decision Making.” Wiley. https://doi.org/10.1002/9781118266502.ch6.\n\n\nZennaro, Marco, Brian Plancher, and V Janapa Reddi. 2022.\n“TinyML: Applied AI for\nDevelopment.” In The UN 7th Multi-Stakeholder Forum on\nScience, Technology and Innovation for the Sustainable Development\nGoals, 2022–05.\n\n\nZhang, Chen, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, and Jason\nOptimizing Cong. 2015. “FPGA-Based Accelerator Design\nfor Deep Convolutional Neural Networks Proceedings of the 2015\nACM.” In SIGDA International Symposium on\nField-Programmable Gate Arrays-FPGA, 15:161–70.\n\n\nZhang, Dan, Safeen Huda, Ebrahim Songhori, Kartik Prabhu, Quoc Le, Anna\nGoldie, and Azalia Mirhoseini. 2022. “A Full-Stack Search\nTechnique for Domain Optimized Deep Learning Accelerators.” In\nProceedings of the 27th ACM International Conference on\nArchitectural Support for Programming Languages and Operating\nSystems, 27–42. ASPLOS ’22. New York, NY, USA: ACM. https://doi.org/10.1145/3503222.3507767.\n\n\nZhang, Dongxia, Xiaoqing Han, and Chunyu Deng. 2018. “Review on\nthe Research and Practice of Deep Learning and Reinforcement Learning in\nSmart Grids.” CSEE Journal of Power and Energy Systems 4\n(3): 362–70. https://doi.org/10.17775/cseejpes.2018.00520.\n\n\nZhang, Hongyu. 2008. “On the Distribution of Software\nFaults.” IEEE Trans. Software Eng. 34 (2): 301–2. https://doi.org/10.1109/tse.2007.70771.\n\n\nZhang, Jeff Jun, Tianyu Gu, Kanad Basu, and Siddharth Garg. 2018.\n“Analyzing and Mitigating the Impact of Permanent Faults on a\nSystolic Array Based Neural Network Accelerator.” In 2018\nIEEE 36th VLSI Test Symposium (VTS), 1–6. IEEE; IEEE. https://doi.org/10.1109/vts.2018.8368656.\n\n\nZhang, Jeff, Kartheek Rangineni, Zahra Ghodsi, and Siddharth Garg. 2018.\n“ThUnderVolt: Enabling Aggressive\nVoltage Underscaling and Timing Error Resilience for Energy Efficient\nDeep Learning Accelerators.” In 2018 55th ACM/ESDA/IEEE\nDesign Automation Conference (DAC), 1–6. IEEE. https://doi.org/10.1109/dac.2018.8465918.\n\n\nZhang, Li Lyna, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, and Yunxin Liu.\n2020. “Fast Hardware-Aware Neural Architecture Search.” In\n2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition\nWorkshops (CVPRW). IEEE. https://doi.org/10.1109/cvprw50498.2020.00354.\n\n\nZhang, Qingxue, Dian Zhou, and Xuan Zeng. 2017. “Highly Wearable\nCuff-Less Blood Pressure and Heart Rate Monitoring with Single-Arm\nElectrocardiogram and Photoplethysmogram Signals.” BioMedical\nEngineering OnLine 16 (1): 23. https://doi.org/10.1186/s12938-017-0317-z.\n\n\nZhang, Tunhou, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai\nHelen Li, and Yiran Chen. 2020. “AutoShrink:\nA Topology-Aware NAS for Discovering Efficient\nNeural Architecture.” In The Thirty-Fourth AAAI Conference on\nArtificial Intelligence, AAAI 2020, the Thirty-Second Innovative\nApplications of Artificial Intelligence Conference, IAAI 2020, the Tenth\nAAAI Symposium on Educational Advances in Artificial Intelligence, EAAI\n2020, New York, NY, USA, February 7-12, 2020, 6829–36. AAAI Press.\nhttps://aaai.org/ojs/index.php/AAAI/article/view/6163.\n\n\nZhao, Mark, and G. Edward Suh. 2018. “FPGA-Based\nRemote Power Side-Channel Attacks.” In 2018 IEEE Symposium on\nSecurity and Privacy (SP), 229–44. IEEE; IEEE. https://doi.org/10.1109/sp.2018.00049.\n\n\nZhao, Yue, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, and Vikas\nChandra. 2018. “Federated Learning with Non-Iid Data.”\nArXiv Preprint abs/1806.00582. https://arxiv.org/abs/1806.00582.\n\n\nZhou, Bolei, Yiyou Sun, David Bau, and Antonio Torralba. 2018.\n“Interpretable Basis Decomposition for Visual Explanation.”\nIn Proceedings of the European Conference on Computer Vision\n(ECCV), 119–34.\n\n\nZhou, Chuteng, Fernando Garcia Redondo, Julian Büchel, Irem Boybat,\nXavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian,\nManuel Le Gallo, and Paul N. Whatmough. 2021.\n“AnalogNets: Ml-hw\nCo-Design of Noise-Robust TinyML Models and Always-on\nAnalog Compute-in-Memory Accelerator.” https://arxiv.org/abs/2111.06503.\n\n\nZhou, Guanglei, and Jason H. Anderson. 2023. “Area-Driven\nFPGA Logic Synthesis Using Reinforcement Learning.”\nIn Proceedings of the 28th Asia and South Pacific Design Automation\nConference, 159–65. ACM. https://doi.org/10.1145/3566097.3567894.\n\n\nZhou, Peng, Xintong Han, Vlad I. Morariu, and Larry S. Davis. 2018.\n“Learning Rich Features for Image Manipulation Detection.”\nIn 2018 IEEE/CVF Conference on Computer Vision and Pattern\nRecognition, 1053–61. IEEE. https://doi.org/10.1109/cvpr.2018.00116.\n\n\nZhu, Hongyu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand\nJayarajan, Amar Phanishayee, Bianca Schroeder, and Gennady Pekhimenko.\n2018. “Benchmarking and Analyzing Deep Neural Network\nTraining.” In 2018 IEEE International Symposium on Workload\nCharacterization (IISWC), 88–100. IEEE; IEEE. https://doi.org/10.1109/iiswc.2018.8573476.\n\n\nZhu, Ligeng, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang\nGan, and Song Han. 2023. “PockEngine:\nSparse and Efficient Fine-Tuning in a Pocket.” In\n56th Annual IEEE/ACM International Symposium on\nMicroarchitecture. ACM. https://doi.org/10.1145/3613424.3614307.\n\n\nZhuang, Fuzhen, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu\nZhu, Hui Xiong, and Qing He. 2021. “A Comprehensive Survey on\nTransfer Learning.” Proc. IEEE 109 (1): 43–76. https://doi.org/10.1109/jproc.2020.3004555.\n\n\nZoph, Barret, and Quoc V. Le. 2023. “Cybernetical\nIntelligence.” Wiley. https://doi.org/10.1002/9781394217519.ch17.", + "text": "Abadi, Martin, Andy Chu, Ian Goodfellow, H. Brendan McMahan, Ilya\nMironov, Kunal Talwar, and Li Zhang. 2016. “Deep Learning with\nDifferential Privacy.” In Proceedings of the 2016 ACM SIGSAC\nConference on Computer and Communications Security, 308–18. CCS\n’16. New York, NY, USA: ACM. https://doi.org/10.1145/2976749.2978318.\n\n\nAbdelkader, Ahmed, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi\nSchwarzschild, Manli Shu, Christoph Studer, and Chen Zhu. 2020.\n“Headless Horseman: Adversarial Attacks on Transfer\nLearning Models.” In ICASSP 2020 - 2020 IEEE International\nConference on Acoustics, Speech and Signal Processing (ICASSP),\n3087–91. IEEE. https://doi.org/10.1109/icassp40776.2020.9053181.\n\n\nAddepalli, Sravanti, B. S. Vivek, Arya Baburaj, Gaurang Sriramanan, and\nR. Venkatesh Babu. 2020. “Towards Achieving Adversarial Robustness\nby Enforcing Feature Consistency Across Bit Planes.” In 2020\nIEEE/CVF Conference on Computer Vision and Pattern Recognition\n(CVPR), 1020–29. IEEE. https://doi.org/10.1109/cvpr42600.2020.00110.\n\n\nAdolf, Robert, Saketh Rama, Brandon Reagen, Gu-yeon Wei, and David\nBrooks. 2016. “Fathom: Reference Workloads for Modern\nDeep Learning Methods.” In 2016 IEEE International Symposium\non Workload Characterization (IISWC), 1–10. IEEE; IEEE. https://doi.org/10.1109/iiswc.2016.7581275.\n\n\nAgarwal, Alekh, Alina Beygelzimer, Miroslav Dudı́k, John Langford, and\nHanna M. Wallach. 2018. “A Reductions Approach to Fair\nClassification.” In Proceedings of the 35th International\nConference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm,\nSweden, July 10-15, 2018, edited by Jennifer G. Dy and Andreas\nKrause, 80:60–69. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v80/agarwal18a.html.\n\n\nAgnesina, Anthony, Puranjay Rajvanshi, Tian Yang, Geraldo Pradipta,\nAustin Jiao, Ben Keller, Brucek Khailany, and Haoxing Ren. 2023.\n“AutoDMP: Automated DREAMPlace-Based Macro\nPlacement.” In Proceedings of the 2023 International\nSymposium on Physical Design, 149–57. ACM. https://doi.org/10.1145/3569052.3578923.\n\n\nAgrawal, Dakshi, Selcuk Baktir, Deniz Karakoyunlu, Pankaj Rohatgi, and\nBerk Sunar. 2007. “Trojan Detection Using\nIC Fingerprinting.” In 2007 IEEE Symposium on\nSecurity and Privacy (SP ’07), 29–45. Springer; IEEE. https://doi.org/10.1109/sp.2007.36.\n\n\nAhmadilivani, Mohammad Hasan, Mahdi Taheri, Jaan Raik, Masoud\nDaneshtalab, and Maksim Jenihhin. 2024. “A Systematic Literature\nReview on Hardware Reliability Assessment Methods for Deep Neural\nNetworks.” ACM Comput. Surv. 56 (6): 1–39. https://doi.org/10.1145/3638242.\n\n\nAledhari, Mohammed, Rehma Razzak, Reza M. Parizi, and Fahad Saeed. 2020.\n“Federated Learning: A Survey on Enabling\nTechnologies, Protocols, and Applications.” #IEEE_O_ACC#\n8: 140699–725. https://doi.org/10.1109/access.2020.3013541.\n\n\nAlghamdi, Wael, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalak,\nShahab Asoodeh, and Flavio Calmon. 2022. “Beyond Adult and\nCOMPAS: Fair Multi-Class Prediction via\nInformation Projection.” Adv. Neur. In. 35: 38747–60.\n\n\nAltayeb, Moez, Marco Zennaro, and Marcelo Rovai. 2022.\n“Classifying Mosquito Wingbeat Sound Using\nTinyML.” In Proceedings of the 2022 ACM\nConference on Information Technology for Social Good, 132–37. ACM.\nhttps://doi.org/10.1145/3524458.3547258.\n\n\nAmiel, Frederic, Christophe Clavier, and Michael Tunstall. 2006.\n“Fault Analysis of DPA-Resistant Algorithms.”\nIn International Workshop on Fault Diagnosis and Tolerance in\nCryptography, 223–36. Springer.\n\n\nAnsel, Jason, Edward Yang, Horace He, Natalia Gimelshein, Animesh Jain,\nMichael Voznesensky, Bin Bao, et al. 2024. “PyTorch\n2: Faster Machine Learning Through Dynamic Python Bytecode\nTransformation and Graph Compilation.” In Proceedings of the\n29th ACM International Conference on Architectural Support for\nProgramming Languages and Operating Systems, Volume 2, edited by\nHanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence\nd’Alché-Buc, Emily B. Fox, and Roman Garnett, 8024–35. ACM. https://doi.org/10.1145/3620665.3640366.\n\n\nAnthony, Lasse F. Wolff, Benjamin Kanding, and Raghavendra Selvan. 2020.\nICML Workshop on Challenges in Deploying and monitoring Machine Learning\nSystems.\n\n\nAntol, Stanislaw, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv\nBatra, C. Lawrence Zitnick, and Devi Parikh. 2015.\n“VQA: Visual Question Answering.”\nIn 2015 IEEE International Conference on Computer Vision\n(ICCV), 2425–33. IEEE. https://doi.org/10.1109/iccv.2015.279.\n\n\nAntonakakis, Manos, Tim April, Michael Bailey, Matt Bernhard, Elie\nBursztein, Jaime Cochran, Zakir Durumeric, et al. 2017.\n“Understanding the Mirai Botnet.” In 26th USENIX\nSecurity Symposium (USENIX Security 17), 1093–1110.\n\n\nArdila, Rosana, Megan Branson, Kelly Davis, Michael Kohler, Josh Meyer,\nMichael Henretty, Reuben Morais, Lindsay Saunders, Francis Tyers, and\nGregor Weber. 2020. “Common Voice: A\nMassively-Multilingual Speech Corpus.” In Proceedings of the\nTwelfth Language Resources and Evaluation Conference, 4218–22.\nMarseille, France: European Language Resources Association. https://aclanthology.org/2020.lrec-1.520.\n\n\nArifeen, Tooba, Abdus Sami Hassan, and Jeong-A Lee. 2020.\n“Approximate Triple Modular Redundancy: A\nSurvey.” #IEEE_O_ACC# 8: 139851–67. https://doi.org/10.1109/access.2020.3012673.\n\n\nAsonov, D., and R. Agrawal. 2004. “Keyboard Acoustic\nEmanations.” In IEEE Symposium on Security and Privacy, 2004.\nProceedings. 2004, 3–11. IEEE; IEEE. https://doi.org/10.1109/secpri.2004.1301311.\n\n\nAteniese, Giuseppe, Luigi V. Mancini, Angelo Spognardi, Antonio Villani,\nDomenico Vitali, and Giovanni Felici. 2015. “Hacking Smart\nMachines with Smarter Ones: How to Extract Meaningful Data\nfrom Machine Learning Classifiers.” Int. J. Secur. Netw.\n10 (3): 137. https://doi.org/10.1504/ijsn.2015.071829.\n\n\nAttia, Zachi I., Alan Sugrue, Samuel J. Asirvatham, Michael J. Ackerman,\nSuraj Kapa, Paul A. Friedman, and Peter A. Noseworthy. 2018.\n“Noninvasive Assessment of Dofetilide Plasma Concentration Using a\nDeep Learning (Neural Network) Analysis of the Surface\nElectrocardiogram: A Proof of Concept Study.”\nPLoS One 13 (8): e0201059. https://doi.org/10.1371/journal.pone.0201059.\n\n\nAygun, Sercan, Ece Olcay Gunes, and Christophe De Vleeschouwer. 2021.\n“Efficient and Robust Bitstream Processing in Binarised Neural\nNetworks.” Electron. Lett. 57 (5): 219–22. https://doi.org/10.1049/ell2.12045.\n\n\nBai, Tao, Jinqi Luo, Jun Zhao, Bihan Wen, and Qian Wang. 2021.\n“Recent Advances in Adversarial Training for Adversarial\nRobustness.” arXiv Preprint arXiv:2102.01356.\n\n\nBains, Sunny. 2020. “The Business of Building Brains.”\nNature Electronics 3 (7): 348–51. https://doi.org/10.1038/s41928-020-0449-1.\n\n\nBamoumen, Hatim, Anas Temouden, Nabil Benamar, and Yousra Chtouki. 2022.\n“How TinyML Can Be Leveraged to Solve Environmental\nProblems: A Survey.” In 2022 International\nConference on Innovation and Intelligence for Informatics, Computing,\nand Technologies (3ICT), 338–43. IEEE; IEEE. https://doi.org/10.1109/3ict56508.2022.9990661.\n\n\nBanbury, Colby, Vijay Janapa Reddi, Peter Torelli, Nat Jeffries, Csaba\nKiraly, Jeremy Holleman, Pietro Montino, et al. 2021. “MLPerf Tiny\nBenchmark.” In Thirty-Fifth Conference on Neural Information\nProcessing Systems Datasets and Benchmarks Track (Round 1).\n\n\nBank, Dor, Noam Koenigstein, and Raja Giryes. 2023.\n“Autoencoders.” Machine Learning for Data Science\nHandbook: Data Mining and Knowledge Discovery Handbook, 353–74.\n\n\nBannon, Pete, Ganesh Venkataramanan, Debjit Das Sarma, and Emil Talpes.\n2019. “Computer and Redundancy Solution for the Full Self-Driving\nComputer.” In 2019 IEEE Hot Chips 31 Symposium (HCS),\n1–22. IEEE Computer Society; IEEE. https://doi.org/10.1109/hotchips.2019.8875645.\n\n\nBarenghi, Alessandro, Guido M. Bertoni, Luca Breveglieri, Mauro\nPellicioli, and Gerardo Pelosi. 2010. “Low Voltage Fault Attacks\nto AES.” In 2010 IEEE International Symposium on\nHardware-Oriented Security and Trust (HOST), 7–12. IEEE; IEEE. https://doi.org/10.1109/hst.2010.5513121.\n\n\nBarroso, Luiz André, Urs Hölzle, and Parthasarathy Ranganathan. 2019.\nThe Datacenter as a Computer: Designing Warehouse-Scale\nMachines. Springer International Publishing. https://doi.org/10.1007/978-3-031-01761-2.\n\n\nBau, David, Bolei Zhou, Aditya Khosla, Aude Oliva, and Antonio Torralba.\n2017. “Network Dissection: Quantifying\nInterpretability of Deep Visual Representations.” In 2017\nIEEE Conference on Computer Vision and Pattern Recognition (CVPR),\n3319–27. IEEE. https://doi.org/10.1109/cvpr.2017.354.\n\n\nBeaton, Albert E., and John W. Tukey. 1974. “The Fitting of Power\nSeries, Meaning Polynomials, Illustrated on Band-Spectroscopic\nData.” Technometrics 16 (2): 147. https://doi.org/10.2307/1267936.\n\n\nBeck, Nathaniel, and Simon Jackman. 1998. “Beyond Linearity by\nDefault: Generalized Additive Models.” Am. J.\nPolit. Sci. 42 (2): 596. https://doi.org/10.2307/2991772.\n\n\nBender, Emily M., and Batya Friedman. 2018. “Data Statements for\nNatural Language Processing: Toward Mitigating System Bias\nand Enabling Better Science.” Transactions of the Association\nfor Computational Linguistics 6 (December): 587–604. https://doi.org/10.1162/tacl_a_00041.\n\n\nBerger, Vance W, and YanYan Zhou. 2014.\n“Kolmogorovsmirnov Test:\nOverview.” Wiley Statsref: Statistics Reference\nOnline.\n\n\nBeyer, Lucas, Olivier J Hénaff, Alexander Kolesnikov, Xiaohua Zhai, and\nAäron van den Oord. 2020. “Are We Done with Imagenet?”\nArXiv Preprint abs/2006.07159. https://arxiv.org/abs/2006.07159.\n\n\nBhagoji, Arjun Nitin, Warren He, Bo Li, and Dawn Song. 2018.\n“Practical Black-Box Attacks on Deep Neural Networks Using\nEfficient Query Mechanisms.” In Proceedings of the European\nConference on Computer Vision (ECCV), 154–69.\n\n\nBhardwaj, Kshitij, Marton Havasi, Yuan Yao, David M. Brooks, José Miguel\nHernández-Lobato, and Gu-Yeon Wei. 2020. “A Comprehensive\nMethodology to Determine Optimal Coherence Interfaces for\nMany-Accelerator SoCs.” In Proceedings of the\nACM/IEEE International Symposium on Low Power Electronics and\nDesign, 145–50. ACM. https://doi.org/10.1145/3370748.3406564.\n\n\nBianco, Simone, Remi Cadene, Luigi Celona, and Paolo Napoletano. 2018.\n“Benchmark Analysis of Representative Deep Neural Network\nArchitectures.” IEEE Access 6: 64270–77.\n\n\nBiega, Asia J., Peter Potash, Hal Daumé, Fernando Diaz, and Michèle\nFinck. 2020. “Operationalizing the Legal Principle of Data\nMinimization for Personalization.” In Proceedings of the 43rd\nInternational ACM SIGIR Conference on Research and Development in\nInformation Retrieval, edited by Jimmy Huang, Yi Chang, Xueqi\nCheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, and Yiqun Liu, 399–408.\nACM. https://doi.org/10.1145/3397271.3401034.\n\n\nBiggio, Battista, Blaine Nelson, and Pavel Laskov. 2012.\n“Poisoning Attacks Against Support Vector Machines.” In\nProceedings of the 29th International Conference on Machine\nLearning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1,\n2012. icml.cc / Omnipress. http://icml.cc/2012/papers/880.pdf.\n\n\nBiggs, John, James Myers, Jedrzej Kufel, Emre Ozer, Simon Craske, Antony\nSou, Catherine Ramsdale, Ken Williamson, Richard Price, and Scott White.\n2021. “A Natively Flexible 32-Bit Arm Microprocessor.”\nNature 595 (7868): 532–36. https://doi.org/10.1038/s41586-021-03625-w.\n\n\nBinkert, Nathan, Bradford Beckmann, Gabriel Black, Steven K. Reinhardt,\nAli Saidi, Arkaprava Basu, Joel Hestness, et al. 2011. “The Gem5\nSimulator.” ACM SIGARCH Computer Architecture News 39\n(2): 1–7. https://doi.org/10.1145/2024716.2024718.\n\n\nBohr, Adam, and Kaveh Memarzadeh. 2020. “The Rise of Artificial\nIntelligence in Healthcare Applications.” In Artificial\nIntelligence in Healthcare, 25–60. Elsevier. https://doi.org/10.1016/b978-0-12-818438-7.00002-2.\n\n\nBolchini, Cristiana, Luca Cassano, Antonio Miele, and Alessandro Toschi.\n2023. “Fast and Accurate Error Simulation for CNNs\nAgainst Soft Errors.” IEEE Trans. Comput. 72 (4):\n984–97. https://doi.org/10.1109/tc.2022.3184274.\n\n\nBondi, Elizabeth, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital\nShah, Robert Hannaford, Arvind Iyer, Lucas Joppa, and Milind Tambe.\n2018. “Near Real-Time Detection of Poachers from Drones in\nAirSim.” In Proceedings of the Twenty-Seventh\nInternational Joint Conference on Artificial Intelligence, edited\nby Jérôme Lang, 5814–16. International Joint Conferences on Artificial\nIntelligence Organization. https://doi.org/10.24963/ijcai.2018/847.\n\n\nBourtoule, Lucas, Varun Chandrasekaran, Christopher A. Choquette-Choo,\nHengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas\nPapernot. 2021. “Machine Unlearning.” In 2021 IEEE\nSymposium on Security and Privacy (SP), 141–59. IEEE; IEEE. https://doi.org/10.1109/sp40001.2021.00019.\n\n\nBreier, Jakub, Xiaolu Hou, Dirmanto Jap, Lei Ma, Shivam Bhasin, and Yang\nLiu. 2018. “Deeplaser: Practical Fault Attack on Deep\nNeural Networks.” ArXiv Preprint abs/1806.05859. https://arxiv.org/abs/1806.05859.\n\n\nBrown, Tom B., Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan,\nPrafulla Dhariwal, Arvind Neelakantan, et al. 2020. “Language\nModels Are Few-Shot Learners.” In Advances in Neural\nInformation Processing Systems 33: Annual Conference on Neural\nInformation Processing Systems 2020, NeurIPS 2020, December 6-12, 2020,\nVirtual, edited by Hugo Larochelle, Marc’Aurelio Ranzato, Raia\nHadsell, Maria-Florina Balcan, and Hsuan-Tien Lin. https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html.\n\n\nBuolamwini, Joy, and Timnit Gebru. 2018. “Gender Shades:\nIntersectional Accuracy Disparities in Commercial Gender\nClassification.” In Conference on Fairness, Accountability\nand Transparency, 77–91. PMLR.\n\n\nBurnet, David, and Richard Thomas. 1989. “Spycatcher:\nThe Commodification of Truth.” J. Law Soc.\n16 (2): 210. https://doi.org/10.2307/1410360.\n\n\nBurr, Geoffrey W., Matthew J. BrightSky, Abu Sebastian, Huai-Yu Cheng,\nJau-Yi Wu, Sangbum Kim, Norma E. Sosa, et al. 2016. “Recent\nProgress in Phase-Change<?Pub _Newline ?>Memory Technology.”\nIEEE Journal on Emerging and Selected Topics in Circuits and\nSystems 6 (2): 146–62. https://doi.org/10.1109/jetcas.2016.2547718.\n\n\nBushnell, Michael L, and Vishwani D Agrawal. 2002. “Built-in\nSelf-Test.” Essentials of Electronic Testing for Digital,\nMemory and Mixed-Signal VLSI Circuits, 489–548.\n\n\nBuyya, Rajkumar, Anton Beloglazov, and Jemal Abawajy. 2010.\n“Energy-Efficient Management of Data Center Resources for Cloud\nComputing: A Vision, Architectural Elements, and Open\nChallenges.” https://arxiv.org/abs/1006.0308.\n\n\nCai, Carrie J., Emily Reif, Narayan Hegde, Jason Hipp, Been Kim, Daniel\nSmilkov, Martin Wattenberg, et al. 2019. “Human-Centered Tools for\nCoping with Imperfect Algorithms During Medical Decision-Making.”\nIn Proceedings of the 2019 CHI Conference on Human Factors in\nComputing Systems, edited by Jennifer G. Dy and Andreas Krause,\n80:2673–82. Proceedings of Machine Learning Research. ACM. https://doi.org/10.1145/3290605.3300234.\n\n\nCai, Han, Chuang Gan, Ligeng Zhu, and Song Han. 2020.\n“TinyTL: Reduce Memory, Not Parameters\nfor Efficient on-Device Learning.” In Advances in Neural\nInformation Processing Systems 33: Annual Conference on Neural\nInformation Processing Systems 2020, NeurIPS 2020, December 6-12, 2020,\nVirtual, edited by Hugo Larochelle, Marc’Aurelio Ranzato, Raia\nHadsell, Maria-Florina Balcan, and Hsuan-Tien Lin. https://proceedings.neurips.cc/paper/2020/hash/81f7acabd411274fcf65ce2070ed568a-Abstract.html.\n\n\nCai, Han, Ligeng Zhu, and Song Han. 2019.\n“ProxylessNAS: Direct Neural\nArchitecture Search on Target Task and Hardware.” In 7th\nInternational Conference on Learning Representations, ICLR 2019, New\nOrleans, LA, USA, May 6-9, 2019. OpenReview.net. https://openreview.net/forum?id=HylVB3AqYm.\n\n\nCalvo, Rafael A, Dorian Peters, Karina Vold, and Richard M Ryan. 2020.\n“Supporting Human Autonomy in AI Systems:\nA Framework for Ethical Enquiry.” Ethics of\nDigital Well-Being: A Multidisciplinary Approach, 31–54.\n\n\nCarlini, Nicholas, Pratyush Mishra, Tavish Vaidya, Yuankai Zhang, Micah\nSherr, Clay Shields, David Wagner, and Wenchao Zhou. 2016. “Hidden\nVoice Commands.” In 25th USENIX Security Symposium (USENIX\nSecurity 16), 513–30.\n\n\nCarta, Salvatore, Alessandro Sebastian Podda, Diego Reforgiato Recupero,\nand Roberto Saia. 2020. “A Local Feature Engineering Strategy to\nImprove Network Anomaly Detection.” Future Internet 12\n(10): 177. https://doi.org/10.3390/fi12100177.\n\n\nCavoukian, Ann. 2009. “Privacy by Design.” Office of\nthe Information and Privacy Commissioner.\n\n\nCenci, Marcelo Pilotto, Tatiana Scarazzato, Daniel Dotto Munchen, Paula\nCristina Dartora, Hugo Marcelo Veit, Andrea Moura Bernardes, and Pablo\nR. Dias. 2021. “Eco-Friendly\nElectronicsA Comprehensive Review.”\nAdv. Mater. Technol. 7 (2): 2001263. https://doi.org/10.1002/admt.202001263.\n\n\nChallenge, WEF Net-Zero. 2021. “The Supply Chain\nOpportunity.” In World Economic Forum: Geneva,\nSwitzerland.\n\n\nChandola, Varun, Arindam Banerjee, and Vipin Kumar. 2009. “Anomaly\nDetection: A Survey.” ACM Comput. Surv. 41 (3): 1–58. https://doi.org/10.1145/1541880.1541882.\n\n\nChapelle, O., B. Scholkopf, and A. Zien Eds. 2009.\n“Semi-Supervised Learning (Chapelle, O.\nEt Al., Eds.; 2006) [Book Reviews].” IEEE Trans.\nNeural Networks 20 (3): 542–42. https://doi.org/10.1109/tnn.2009.2015974.\n\n\nChen, Chaofan, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, and\nJonathan Su. 2019. “This Looks Like That: Deep\nLearning for Interpretable Image Recognition.” In Advances in\nNeural Information Processing Systems 32: Annual Conference on Neural\nInformation Processing Systems 2019, NeurIPS 2019, December 8-14, 2019,\nVancouver, BC, Canada, edited by Hanna M. Wallach, Hugo Larochelle,\nAlina Beygelzimer, Florence d’Alché-Buc, Emily B. Fox, and Roman\nGarnett, 8928–39. https://proceedings.neurips.cc/paper/2019/hash/adf7ee2dcf142b0e11888e72b43fcb75-Abstract.html.\n\n\nChen, Emma, Shvetank Prakash, Vijay Janapa Reddi, David Kim, and Pranav\nRajpurkar. 2023. “A Framework for Integrating Artificial\nIntelligence for Clinical Care with Continuous Therapeutic\nMonitoring.” Nat. Biomed. Eng., November. https://doi.org/10.1038/s41551-023-01115-0.\n\n\nChen, H.-W. 2006. “Gallium, Indium, and Arsenic Pollution of\nGroundwater from a Semiconductor Manufacturing Area of\nTaiwan.” B. Environ. Contam. Tox. 77 (2):\n289–96. https://doi.org/10.1007/s00128-006-1062-3.\n\n\nChen, Tianqi, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan,\nHaichen Shen, Meghan Cowan, et al. 2018. “TVM:\nAn Automated End-to-End Optimizing Compiler for Deep\nLearning.” In 13th USENIX Symposium on Operating Systems\nDesign and Implementation (OSDI 18), 578–94.\n\n\nChen, Tianqi, Bing Xu, Chiyuan Zhang, and Carlos Guestrin. 2016.\n“Training Deep Nets with Sublinear Memory Cost.” ArXiv\nPreprint abs/1604.06174. https://arxiv.org/abs/1604.06174.\n\n\nChen, Zhiyong, and Shugong Xu. 2023. “Learning\nDomain-Heterogeneous Speaker Recognition Systems with Personalized\nContinual Federated Learning.” EURASIP Journal on Audio,\nSpeech, and Music Processing 2023 (1): 33. https://doi.org/10.1186/s13636-023-00299-2.\n\n\nChen, Zitao, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben.\n2019. “<i>BinFI</i>: An Efficient Fault Injector for\nSafety-Critical Machine Learning Systems.” In Proceedings of\nthe International Conference for High Performance Computing, Networking,\nStorage and Analysis. SC ’19. New York, NY, USA: ACM. https://doi.org/10.1145/3295500.3356177.\n\n\nChen, Zitao, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik\nPattabiraman, and Nathan DeBardeleben. 2020.\n“TensorFI: A Flexible Fault Injection\nFramework for TensorFlow Applications.” In 2020\nIEEE 31st International Symposium on Software Reliability Engineering\n(ISSRE), 426–35. IEEE; IEEE. https://doi.org/10.1109/issre5003.2020.00047.\n\n\nCheng, Eric, Shahrzad Mirkhani, Lukasz G. Szafaryn, Chen-Yong Cher,\nHyungmin Cho, Kevin Skadron, Mircea R. Stan, et al. 2016. “Clear:\n<U>c</u>\nRoss <u>-l</u>\nAyer <u>e</u>\nXploration for <u>a</u>\nRchitecting <u>r</u>\nEsilience - Combining Hardware and Software Techniques to Tolerate Soft\nErrors in Processor Cores.” In Proceedings of the 53rd Annual\nDesign Automation Conference, 1–6. ACM. https://doi.org/10.1145/2897937.2897996.\n\n\nCheng, Yu, Duo Wang, Pan Zhou, and Tao Zhang. 2018. “Model\nCompression and Acceleration for Deep Neural Networks: The\nPrinciples, Progress, and Challenges.” IEEE Signal Process\nMag. 35 (1): 126–36. https://doi.org/10.1109/msp.2017.2765695.\n\n\nChi, Ping, Shuangchen Li, Cong Xu, Tao Zhang, Jishen Zhao, Yongpan Liu,\nYu Wang, and Yuan Xie. 2016. “Prime: A Novel Processing-in-Memory\nArchitecture for Neural Network Computation in ReRAM-Based Main\nMemory.” ACM SIGARCH Computer Architecture News 44 (3):\n27–39. https://doi.org/10.1145/3007787.3001140.\n\n\nChollet, François. 2018. “Introduction to Keras.” March\n9th.\n\n\nChristiano, Paul F., Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg,\nand Dario Amodei. 2017. “Deep Reinforcement Learning from Human\nPreferences.” In Advances in Neural Information Processing\nSystems 30: Annual Conference on Neural Information Processing Systems\n2017, December 4-9, 2017, Long Beach, CA, USA, edited by Isabelle\nGuyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S.\nV. N. Vishwanathan, and Roman Garnett, 4299–4307. https://proceedings.neurips.cc/paper/2017/hash/d5e2c0adad503c91f91df240d0cd4e49-Abstract.html.\n\n\nChu, Grace, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton,\nPieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, and Andrew\nHoward. 2021. “Discovering Multi-Hardware Mobile Models via\nArchitecture Search.” In 2021 IEEE/CVF Conference on Computer\nVision and Pattern Recognition Workshops (CVPRW), 3022–31. IEEE. https://doi.org/10.1109/cvprw53098.2021.00337.\n\n\nChua, L. 1971. “Memristor-the Missing Circuit Element.”\n#IEEE_J_CT# 18 (5): 507–19. https://doi.org/10.1109/tct.1971.1083337.\n\n\nChung, Jae-Won, Yile Gu, Insu Jang, Luoxi Meng, Nikhil Bansal, and\nMosharaf Chowdhury. 2023. “Perseus: Removing Energy\nBloat from Large Model Training.” ArXiv Preprint\nabs/2312.06902. https://arxiv.org/abs/2312.06902.\n\n\nCohen, Maxime C., Ruben Lobel, and Georgia Perakis. 2016. “The\nImpact of Demand Uncertainty on Consumer Subsidies for Green Technology\nAdoption.” Manage. Sci. 62 (5): 1235–58. https://doi.org/10.1287/mnsc.2015.2173.\n\n\nColeman, Cody, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter\nBailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei\nZaharia, and I. Zeki Yalniz. 2022. “Similarity Search for\nEfficient Active Learning and Search of Rare Concepts.” In\nThirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022,\nThirty-Fourth Conference on Innovative Applications of Artificial\nIntelligence, IAAI 2022, the Twelveth Symposium on Educational Advances\nin Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March\n1, 2022, 6402–10. AAAI Press. https://ojs.aaai.org/index.php/AAAI/article/view/20591.\n\n\nColeman, Cody, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao,\nJian Zhang, Peter Bailis, Kunle Olukotun, Chris Ré, and Matei Zaharia.\n2019. “Analysis of DAWNBench, a Time-to-Accuracy\nMachine Learning Performance Benchmark.” ACM SIGOPS Operating\nSystems Review 53 (1): 14–25. https://doi.org/10.1145/3352020.3352024.\n\n\nConstantinescu, Cristian. 2008. “Intermittent Faults and Effects\non Reliability of Integrated Circuits.” In 2008 Annual\nReliability and Maintainability Symposium, 370–74. IEEE; IEEE. https://doi.org/10.1109/rams.2008.4925824.\n\n\nCooper, Tom, Suzanne Fallender, Joyann Pafumi, Jon Dettling, Sebastien\nHumbert, and Lindsay Lessard. 2011. “A Semiconductor Company’s\nExamination of Its Water Footprint Approach.” In Proceedings\nof the 2011 IEEE International Symposium on Sustainable Systems and\nTechnology, 1–6. IEEE; IEEE. https://doi.org/10.1109/issst.2011.5936865.\n\n\nCope, Gord. 2009. “Pure Water, Semiconductors and the\nRecession.” Global Water Intelligence 10 (10).\n\n\nCourbariaux, Matthieu, Itay Hubara, Daniel Soudry, Ran El-Yaniv, and\nYoshua Bengio. 2016. “Binarized Neural Networks:\nTraining Deep Neural Networks with Weights and Activations\nConstrained to+ 1 or-1.” arXiv Preprint\narXiv:1602.02830.\n\n\nD’ignazio, Catherine, and Lauren F Klein. 2023. Data Feminism.\nMIT press.\n\n\nDahl, George E, Frank Schneider, Zachary Nado, Naman Agarwal,\nChandramouli Shama Sastry, Philipp Hennig, Sourabh Medapati, et al.\n2021. “CSF Findings in Acute NMDAR and\nLGI1 AntibodyAssociated\nAutoimmune Encephalitis.” Neurology Neuroimmunology &Amp;\nNeuroinflammation 8 (6). https://doi.org/10.1212/nxi.0000000000001086.\n\n\nDarvish Rouhani, Bita, Azalia Mirhoseini, and Farinaz Koushanfar. 2017.\n“TinyDL: Just-in-time\nDeep Learning Solution for Constrained Embedded Systems.” In\n2017 IEEE International Symposium on Circuits and Systems\n(ISCAS), 1–4. IEEE. https://doi.org/10.1109/iscas.2017.8050343.\n\n\nDavarzani, Samaneh, David Saucier, Purva Talegaonkar, Erin Parker, Alana\nTurner, Carver Middleton, Will Carroll, et al. 2023. “Closing the\nWearable Gap: Footankle\nKinematic Modeling via Deep Learning Models Based on a Smart Sock\nWearable.” Wearable Technologies 4. https://doi.org/10.1017/wtc.2023.3.\n\n\nDavid, Robert, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat\nJeffries, Jian Li, Nick Kreeger, et al. 2021. “Tensorflow Lite\nMicro: Embedded Machine Learning for Tinyml\nSystems.” Proceedings of Machine Learning and Systems 3:\n800–811.\n\n\nDavies, Emma. 2011. “Endangered Elements: Critical\nThinking.” https://www.rsc.org/images/Endangered\\%20Elements\\%20-\\%20Critical\\%20Thinking\\_tcm18-196054.pdf.\n\n\nDavies, Mike, Narayan Srinivasa, Tsung-Han Lin, Gautham Chinya,\nYongqiang Cao, Sri Harsha Choday, Georgios Dimou, et al. 2018.\n“Loihi: A Neuromorphic Manycore Processor with\non-Chip Learning.” IEEE Micro 38 (1): 82–99. https://doi.org/10.1109/mm.2018.112130359.\n\n\nDavies, Mike, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya,\nGabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, and Sumedh R.\nRisbud. 2021. “Advancing Neuromorphic Computing with Loihi:\nA Survey of Results and Outlook.” Proc.\nIEEE 109 (5): 911–34. https://doi.org/10.1109/jproc.2021.3067593.\n\n\nDavis, Jacqueline, Daniel Bizo, Andy Lawrence, Owen Rogers, and Max\nSmolaks. 2022. “Uptime Institute Global Data Center Survey\n2022.” Uptime Institute.\n\n\nDayarathna, Miyuru, Yonggang Wen, and Rui Fan. 2016. “Data Center\nEnergy Consumption Modeling: A Survey.” IEEE\nCommunications Surveys &Amp; Tutorials 18 (1): 732–94. https://doi.org/10.1109/comst.2015.2481183.\n\n\nDean, Jeffrey, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc\nV. Le, Mark Z. Mao, et al. 2012. “Large Scale Distributed Deep\nNetworks.” In Advances in Neural Information Processing\nSystems 25: 26th Annual Conference on Neural Information Processing\nSystems 2012. Proceedings of a Meeting Held December 3-6, 2012, Lake\nTahoe, Nevada, United States, edited by Peter L. Bartlett, Fernando\nC. N. Pereira, Christopher J. C. Burges, Léon Bottou, and Kilian Q.\nWeinberger, 1232–40. https://proceedings.neurips.cc/paper/2012/hash/6aca97005c68f1206823815f66102863-Abstract.html.\n\n\nDeng, Jia, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Fei-Fei Li.\n2009. “ImageNet: A Large-Scale\nHierarchical Image Database.” In 2009 IEEE Conference on\nComputer Vision and Pattern Recognition, 248–55. IEEE. https://doi.org/10.1109/cvpr.2009.5206848.\n\n\nDesai, Tanvi, Felix Ritchie, Richard Welpton, et al. 2016. “Five\nSafes: Designing Data Access for Research.”\nEconomics Working Paper Series 1601: 28.\n\n\nDevlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019.\n“BERT: Pre-training of\nDeep Bidirectional Transformers for Language Understanding.” In\nProceedings of the 2019 Conference of the North, 4171–86.\nMinneapolis, Minnesota: Association for Computational Linguistics. https://doi.org/10.18653/v1/n19-1423.\n\n\nDhar, Sauptik, Junyao Guo, Jiayi (Jason) Liu, Samarth Tripathi, Unmesh\nKurup, and Mohak Shah. 2021. “A Survey of on-Device Machine\nLearning: An Algorithms and Learning Theory Perspective.” ACM\nTransactions on Internet of Things 2 (3): 1–49. https://doi.org/10.1145/3450494.\n\n\nDong, Xin, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T.\nKung, and Ziyun Li. 2022. “SplitNets:\nDesigning Neural Architectures for Efficient Distributed\nComputing on Head-Mounted Systems.” In 2022 IEEE/CVF\nConference on Computer Vision and Pattern Recognition (CVPR),\n12549–59. IEEE. https://doi.org/10.1109/cvpr52688.2022.01223.\n\n\nDongarra, Jack J. 2009. “The Evolution of High Performance\nComputing on System z.” IBM J. Res. Dev. 53: 3–4.\n\n\nDuarte, Javier, Nhan Tran, Ben Hawks, Christian Herwig, Jules Muhizi,\nShvetank Prakash, and Vijay Janapa Reddi. 2022.\n“FastML Science Benchmarks: Accelerating\nReal-Time Scientific Edge Machine Learning.” ArXiv\nPreprint abs/2207.07958. https://arxiv.org/abs/2207.07958.\n\n\nDuchi, John C., Elad Hazan, and Yoram Singer. 2010. “Adaptive\nSubgradient Methods for Online Learning and Stochastic\nOptimization.” In COLT 2010 - the 23rd Conference on Learning\nTheory, Haifa, Israel, June 27-29, 2010, edited by Adam Tauman\nKalai and Mehryar Mohri, 257–69. Omnipress. http://colt2010.haifa.il.ibm.com/papers/COLT2010proceedings.pdf\\#page=265.\n\n\nDuisterhof, Bardienus P, Srivatsan Krishnan, Jonathan J Cruz, Colby R\nBanbury, William Fu, Aleksandra Faust, Guido CHE de Croon, and Vijay\nJanapa Reddi. 2019. “Learning to Seek: Autonomous\nSource Seeking with Deep Reinforcement Learning Onboard a Nano Drone\nMicrocontroller.” ArXiv Preprint abs/1909.11236. https://arxiv.org/abs/1909.11236.\n\n\nDuisterhof, Bardienus P., Shushuai Li, Javier Burgues, Vijay Janapa\nReddi, and Guido C. H. E. de Croon. 2021. “Sniffy Bug:\nA Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in\nCluttered Environments.” In 2021 IEEE/RSJ International\nConference on Intelligent Robots and Systems (IROS), 9099–9106.\nIEEE; IEEE. https://doi.org/10.1109/iros51168.2021.9636217.\n\n\nDwork, Cynthia, Frank McSherry, Kobbi Nissim, and Adam Smith. 2006.\n“Calibrating Noise to Sensitivity in Private Data\nAnalysis.” In Theory of Cryptography, edited by Shai\nHalevi and Tal Rabin, 265–84. Berlin, Heidelberg: Springer Berlin\nHeidelberg.\n\n\nDwork, Cynthia, and Aaron Roth. 2013. “The Algorithmic Foundations\nof Differential Privacy.” Foundations and Trends\nin Theoretical Computer Science 9 (3-4): 211–407. https://doi.org/10.1561/0400000042.\n\n\nEbrahimi, Khosrow, Gerard F. Jones, and Amy S. Fleischer. 2014. “A\nReview of Data Center Cooling Technology, Operating Conditions and the\nCorresponding Low-Grade Waste Heat Recovery Opportunities.”\nRenewable Sustainable Energy Rev. 31 (March): 622–38. https://doi.org/10.1016/j.rser.2013.12.007.\n\n\nEgwutuoha, Ifeanyi P., David Levy, Bran Selic, and Shiping Chen. 2013.\n“A Survey of Fault Tolerance Mechanisms and Checkpoint/Restart\nImplementations for High Performance Computing Systems.” The\nJournal of Supercomputing 65 (3): 1302–26. https://doi.org/10.1007/s11227-013-0884-0.\n\n\nEisenman, Assaf, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere,\nRaghuraman Krishnamoorthi, Krishnakumar Nair, Misha Smelyanskiy, and\nMurali Annavaram. 2022. “Check-n-Run: A Checkpointing\nSystem for Training Deep Learning Recommendation Models.” In\n19th USENIX Symposium on Networked Systems Design and Implementation\n(NSDI 22), 929–43.\n\n\nEldan, Ronen, and Mark Russinovich. 2023. “Who’s Harry Potter?\nApproximate Unlearning in LLMs.” ArXiv\nPreprint abs/2310.02238. https://arxiv.org/abs/2310.02238.\n\n\nEl-Rayis, A. O. 2014. “Reconfigurable Architectures for the Next\nGeneration of Mobile Device Telecommunications Systems.” :\nhttps://www.researchgate.net/publication/292608967.\n\n\nEshraghian, Jason K., Max Ward, Emre O. Neftci, Xinxin Wang, Gregor\nLenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, and Wei D. Lu.\n2023. “Training Spiking Neural Networks Using Lessons from Deep\nLearning.” Proc. IEEE 111 (9): 1016–54. https://doi.org/10.1109/jproc.2023.3308088.\n\n\nEsteva, Andre, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M.\nSwetter, Helen M. Blau, and Sebastian Thrun. 2017.\n“Dermatologist-Level Classification of Skin Cancer with Deep\nNeural Networks.” Nature 542 (7639): 115–18. https://doi.org/10.1038/nature21056.\n\n\nEykholt, Kevin, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati,\nChaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song. 2017.\n“Robust Physical-World Attacks on Deep Learning Models.”\nArXiv Preprint abs/1707.08945. https://arxiv.org/abs/1707.08945.\n\n\nFahim, Farah, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo\nJindariani, Nhan Tran, Luca P. Carloni, et al. 2021. “Hls4ml:\nAn Open-Source Codesign Workflow to Empower Scientific\nLow-Power Machine Learning Devices.” https://arxiv.org/abs/2103.05579.\n\n\nFarah, Martha J. 2005. “Neuroethics: The Practical\nand the Philosophical.” Trends Cogn. Sci. 9 (1): 34–40.\nhttps://doi.org/10.1016/j.tics.2004.12.001.\n\n\nFarwell, James P., and Rafal Rohozinski. 2011. “Stuxnet and the\nFuture of Cyber War.” Survival 53 (1): 23–40. https://doi.org/10.1080/00396338.2011.555586.\n\n\nFowers, Jeremy, Kalin Ovtcharov, Michael Papamichael, Todd Massengill,\nMing Liu, Daniel Lo, Shlomi Alkalay, et al. 2018. “A Configurable\nCloud-Scale DNN Processor for Real-Time\nAI.” In 2018 ACM/IEEE 45th Annual International\nSymposium on Computer Architecture (ISCA), 1–14. IEEE; IEEE. https://doi.org/10.1109/isca.2018.00012.\n\n\nFrancalanza, Adrian, Luca Aceto, Antonis Achilleos, Duncan Paul Attard,\nIan Cassar, Dario Della Monica, and Anna Ingólfsdóttir. 2017. “A\nFoundation for Runtime Monitoring.” In International\nConference on Runtime Verification, 8–29. Springer.\n\n\nFrankle, Jonathan, and Michael Carbin. 2019. “The Lottery Ticket\nHypothesis: Finding Sparse, Trainable Neural\nNetworks.” In 7th International Conference on Learning\nRepresentations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019.\nOpenReview.net. https://openreview.net/forum?id=rJl-b3RcF7.\n\n\nFriedman, Batya. 1996. “Value-Sensitive Design.”\nInteractions 3 (6): 16–23. https://doi.org/10.1145/242485.242493.\n\n\nFurber, Steve. 2016. “Large-Scale Neuromorphic Computing\nSystems.” J. Neural Eng. 13 (5): 051001. https://doi.org/10.1088/1741-2560/13/5/051001.\n\n\nFursov, Ivan, Matvey Morozov, Nina Kaploukhaya, Elizaveta Kovtun,\nRodrigo Rivera-Castro, Gleb Gusev, Dmitry Babaev, Ivan Kireev, Alexey\nZaytsev, and Evgeny Burnaev. 2021. “Adversarial Attacks on Deep\nModels for Financial Transaction Records.” In Proceedings of\nthe 27th ACM SIGKDD Conference on Knowledge Discovery &Amp; Data\nMining, 2868–78. ACM. https://doi.org/10.1145/3447548.3467145.\n\n\nGale, Trevor, Erich Elsen, and Sara Hooker. 2019. “The State of\nSparsity in Deep Neural Networks.” ArXiv Preprint\nabs/1902.09574. https://arxiv.org/abs/1902.09574.\n\n\nGandolfi, Karine, Christophe Mourtel, and Francis Olivier. 2001.\n“Electromagnetic Analysis: Concrete Results.”\nIn Cryptographic Hardware and Embedded SystemsCHES\n2001: Third International Workshop Paris, France, May 1416,\n2001 Proceedings 3, 251–61. Springer.\n\n\nGannot, G., and M. Ligthart. 1994. “Verilog HDL Based\nFPGA Design.” In International Verilog HDL\nConference, 86–92. IEEE. https://doi.org/10.1109/ivc.1994.323743.\n\n\nGao, Yansong, Said F. Al-Sarawi, and Derek Abbott. 2020. “Physical\nUnclonable Functions.” Nature Electronics 3 (2): 81–91.\nhttps://doi.org/10.1038/s41928-020-0372-5.\n\n\nGates, Byron D. 2009. “Flexible Electronics.”\nScience 323 (5921): 1566–67. https://doi.org/10.1126/science.1171230.\n\n\nGebru, Timnit, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman\nVaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford. 2021.\n“Datasheets for Datasets.” Commun. ACM 64 (12):\n86–92. https://doi.org/10.1145/3458723.\n\n\nGeiger, Atticus, Hanson Lu, Thomas Icard, and Christopher Potts. 2021.\n“Causal Abstractions of Neural Networks.” In Advances\nin Neural Information Processing Systems 34: Annual Conference on Neural\nInformation Processing Systems 2021, NeurIPS 2021, December 6-14, 2021,\nVirtual, edited by Marc’Aurelio Ranzato, Alina Beygelzimer, Yann N.\nDauphin, Percy Liang, and Jennifer Wortman Vaughan, 9574–86. https://proceedings.neurips.cc/paper/2021/hash/4f5c422f4d49a5a807eda27434231040-Abstract.html.\n\n\nGholami, Dong Kim, Mahoney Yao, and Keutzer. 2021. “A Survey of\nQuantization Methods for Efficient Neural Network Inference).”\nArXiv Preprint. https://arxiv.org/abs/2103.13630.\n\n\nGlorot, Xavier, and Yoshua Bengio. 2010. “Understanding the\nDifficulty of Training Deep Feedforward Neural Networks.” In\nProceedings of the Thirteenth International Conference on Artificial\nIntelligence and Statistics. https://proceedings.mlr.press/v9/glorot10a.html.\n\n\nGnad, Dennis R. E., Fabian Oboril, and Mehdi B. Tahoori. 2017.\n“Voltage Drop-Based Fault Attacks on FPGAs Using\nValid Bitstreams.” In 2017 27th International Conference on\nField Programmable Logic and Applications (FPL), 1–7. IEEE; IEEE.\nhttps://doi.org/10.23919/fpl.2017.8056840.\n\n\nGoodfellow, Ian, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David\nWarde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2020.\n“Generative Adversarial Networks.” Commun. ACM 63\n(11): 139–44. https://doi.org/10.1145/3422622.\n\n\nGoodyear, Victoria A. 2017. “Social Media, Apps and Wearable\nTechnologies: Navigating Ethical Dilemmas and\nProcedures.” Qualitative Research in Sport, Exercise and\nHealth 9 (3): 285–302. https://doi.org/10.1080/2159676x.2017.1303790.\n\n\nGoogle. n.d. “Information Quality Content Moderation.” https://blog.google/documents/83/.\n\n\nGordon, Ariel, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang,\nand Edward Choi. 2018. “MorphNet: Fast\n&Amp; Simple Resource-Constrained Structure Learning of Deep\nNetworks.” In 2018 IEEE/CVF Conference on Computer Vision and\nPattern Recognition, 1586–95. IEEE. https://doi.org/10.1109/cvpr.2018.00171.\n\n\nGräfe, Ralf, Qutub Syed Sha, Florian Geissler, and Michael Paulitsch.\n2023. “Large-Scale Application of Fault Injection into\nPyTorch Models -an Extension to PyTorchFI for\nValidation Efficiency.” In 2023 53rd Annual IEEE/IFIP\nInternational Conference on Dependable Systems and Networks -\nSupplemental Volume (DSN-s), 56–62. IEEE; IEEE. https://doi.org/10.1109/dsn-s58398.2023.00025.\n\n\nGreengard, Samuel. 2015. The Internet of Things. The MIT Press.\nhttps://doi.org/10.7551/mitpress/10277.001.0001.\n\n\nGrossman, Elizabeth. 2007. High Tech Trash: Digital\nDevices, Hidden Toxics, and Human Health. Island press.\n\n\nGruslys, Audrunas, Rémi Munos, Ivo Danihelka, Marc Lanctot, and Alex\nGraves. 2016. “Memory-Efficient Backpropagation Through\nTime.” In Advances in Neural Information Processing Systems\n29: Annual Conference on Neural Information Processing Systems 2016,\nDecember 5-10, 2016, Barcelona, Spain, edited by Daniel D. Lee,\nMasashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, and Roman Garnett,\n4125–33. https://proceedings.neurips.cc/paper/2016/hash/a501bebf79d570651ff601788ea9d16d-Abstract.html.\n\n\nGu, Ivy. 2023. “Deep Learning Model Compression (Ii) by Ivy Gu\nMedium.” https://ivygdy.medium.com/deep-learning-model-compression-ii-546352ea9453.\n\n\nGuo, Chuan, Jacob Gardner, Yurong You, Andrew Gordon Wilson, and Kilian\nWeinberger. 2019. “Simple Black-Box Adversarial Attacks.”\nIn International Conference on Machine Learning, 2484–93. PMLR.\n\n\nGuo, Yutao, Hao Wang, Hui Zhang, Tong Liu, Zhaoguang Liang, Yunlong Xia,\nLi Yan, et al. 2019. “Mobile Photoplethysmographic Technology to\nDetect Atrial Fibrillation.” J. Am. Coll. Cardiol. 74\n(19): 2365–75. https://doi.org/10.1016/j.jacc.2019.08.019.\n\n\nGupta, Maanak, Charankumar Akiri, Kshitiz Aryal, Eli Parker, and\nLopamudra Praharaj. 2023. “From ChatGPT to\nThreatGPT: Impact of Generative\nAI in Cybersecurity and Privacy.”\n#IEEE_O_ACC# 11: 80218–45. https://doi.org/10.1109/access.2023.3300381.\n\n\nGupta, Maya, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin\nCanini, Alexander Mangylov, Wojciech Moczydlowski, and Alexander Van\nEsbroeck. 2016. “Monotonic Calibrated Interpolated Look-up\nTables.” The Journal of Machine Learning Research 17\n(1): 3790–3836.\n\n\nGupta, Udit, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee,\nDavid Brooks, and Carole-Jean Wu. 2022. “Act: Designing\nSustainable Computer Systems with an Architectural Carbon Modeling\nTool.” In Proceedings of the 49th Annual International\nSymposium on Computer Architecture, 784–99. ACM. https://doi.org/10.1145/3470496.3527408.\n\n\nGwennap, Linley. n.d. “Certus-NX Innovates\nGeneral-Purpose FPGAs.”\n\n\nHaensch, Wilfried, Tayfun Gokmen, and Ruchir Puri. 2019. “The Next\nGeneration of Deep Learning Hardware: Analog\nComputing.” Proc. IEEE 107 (1): 108–22. https://doi.org/10.1109/jproc.2018.2871057.\n\n\nHamming, R. W. 1950. “Error Detecting and Error Correcting\nCodes.” Bell Syst. Tech. J. 29 (2): 147–60. https://doi.org/10.1002/j.1538-7305.1950.tb00463.x.\n\n\nHan, Song, Huizi Mao, and William J Dally. 2015. “Deep\nCompression: Compressing Deep Neural Networks with Pruning, Trained\nQuantization and Huffman Coding.” arXiv Preprint\narXiv:1510.00149.\n\n\nHan, Song, Huizi Mao, and William J. Dally. 2016. “Deep\nCompression: Compressing Deep Neural Networks with Pruning,\nTrained Quantization and Huffman Coding.” https://arxiv.org/abs/1510.00149.\n\n\nHandlin, Oscar. 1965. “Science and Technology in Popular\nCulture.” Daedalus-Us., 156–70.\n\n\nHardt, Moritz, Eric Price, and Nati Srebro. 2016. “Equality of\nOpportunity in Supervised Learning.” In Advances in Neural\nInformation Processing Systems 29: Annual Conference on Neural\nInformation Processing Systems 2016, December 5-10, 2016, Barcelona,\nSpain, edited by Daniel D. Lee, Masashi Sugiyama, Ulrike von\nLuxburg, Isabelle Guyon, and Roman Garnett, 3315–23. https://proceedings.neurips.cc/paper/2016/hash/9d2682367c3935defcb1f9e247a97c0d-Abstract.html.\n\n\nHawks, Benjamin, Javier Duarte, Nicholas J. Fraser, Alessandro\nPappalardo, Nhan Tran, and Yaman Umuroglu. 2021. “Ps and Qs: Quantization-aware Pruning for Efficient Low\nLatency Neural Network Inference.” Frontiers in Artificial\nIntelligence 4 (July). https://doi.org/10.3389/frai.2021.676564.\n\n\nHazan, Avi, and Elishai Ezra Tsur. 2021. “Neuromorphic Analog\nImplementation of Neural Engineering Framework-Inspired Spiking Neuron\nfor High-Dimensional Representation.” Front. Neurosci.\n15 (February): 627221. https://doi.org/10.3389/fnins.2021.627221.\n\n\nHe, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015.\n“Delving Deep into Rectifiers: Surpassing Human-Level\nPerformance on ImageNet Classification.” In 2015\nIEEE International Conference on Computer Vision (ICCV), 1026–34.\nIEEE. https://doi.org/10.1109/iccv.2015.123.\n\n\n———. 2016. “Deep Residual Learning for Image Recognition.”\nIn 2016 IEEE Conference on Computer Vision and Pattern Recognition\n(CVPR), 770–78. IEEE. https://doi.org/10.1109/cvpr.2016.90.\n\n\nHe, Yi, Prasanna Balaprakash, and Yanjing Li. 2020.\n“FIdelity: Efficient Resilience Analysis\nFramework for Deep Learning Accelerators.” In 2020 53rd\nAnnual IEEE/ACM International Symposium on Microarchitecture\n(MICRO), 270–81. IEEE; IEEE. https://doi.org/10.1109/micro50266.2020.00033.\n\n\nHe, Yi, Mike Hutton, Steven Chan, Robert De Gruijl, Rama Govindaraju,\nNishant Patil, and Yanjing Li. 2023. “Understanding and Mitigating\nHardware Failures in Deep Learning Training Systems.” In\nProceedings of the 50th Annual International Symposium on Computer\nArchitecture, 1–16. IEEE; ACM. https://doi.org/10.1145/3579371.3589105.\n\n\nHébert-Johnson, Úrsula, Michael P. Kim, Omer Reingold, and Guy N.\nRothblum. 2018. “Multicalibration: Calibration for\nthe (Computationally-Identifiable) Masses.” In\nProceedings of the 35th International Conference on Machine\nLearning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15,\n2018, edited by Jennifer G. Dy and Andreas Krause, 80:1944–53.\nProceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v80/hebert-johnson18a.html.\n\n\nHegde, Sumant. 2023. “An Introduction to Separable Convolutions -\nAnalytics Vidhya.” https://www.analyticsvidhya.com/blog/2021/11/an-introduction-to-separable-convolutions/.\n\n\nHenderson, Peter, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky,\nand Joelle Pineau. 2020. “Towards the Systematic Reporting of the\nEnergy and Carbon Footprints of Machine Learning.” The\nJournal of Machine Learning Research 21 (1): 10039–81.\n\n\nHendrycks, Dan, and Thomas Dietterich. 2019. “Benchmarking Neural\nNetwork Robustness to Common Corruptions and Perturbations.”\narXiv Preprint arXiv:1903.12261.\n\n\nHendrycks, Dan, Kevin Zhao, Steven Basart, Jacob Steinhardt, and Dawn\nSong. 2021. “Natural Adversarial Examples.” In 2021\nIEEE/CVF Conference on Computer Vision and Pattern Recognition\n(CVPR), 15262–71. IEEE. https://doi.org/10.1109/cvpr46437.2021.01501.\n\n\nHennessy, John L., and David A. Patterson. 2019. “A New Golden Age\nfor Computer Architecture.” Commun. ACM 62 (2): 48–60.\nhttps://doi.org/10.1145/3282307.\n\n\nHimmelstein, Gracie, David Bates, and Li Zhou. 2022. “Examination\nof Stigmatizing Language in the Electronic Health Record.”\nJAMA Network Open 5 (1): e2144967. https://doi.org/10.1001/jamanetworkopen.2021.44967.\n\n\nHinton, Geoffrey. 2005. “Van Nostrand’s Scientific Encyclopedia.” Wiley.\nhttps://doi.org/10.1002/0471743984.vse0673.\n\n\n———. 2017. “Overview of Minibatch Gradient Descent.”\nUniversity of Toronto; University Lecture.\n\n\nHo Yoon, Jung, Hyung-Suk Jung, Min Hwan Lee, Gun Hwan Kim, Seul Ji Song,\nJun Yeong Seok, Kyung Jean Yoon, et al. 2012. “Frontiers in\nElectronic Materials.” Wiley. https://doi.org/10.1002/9783527667703.ch67.\n\n\nHoefler, Torsten, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, and\nAlexandra Peste. 2021. “Sparsity in Deep Learning:\nPruning and Growth for Efficient Inference and Training in\nNeural Networks.” https://arxiv.org/abs/2102.00554.\n\n\nHolland, Sarah, Ahmed Hosny, Sarah Newman, Joshua Joseph, and Kasia\nChmielinski. 2020. “The Dataset Nutrition Label: A Framework to\nDrive Higher Data Quality Standards.” In Data Protection and\nPrivacy. Hart Publishing. https://doi.org/10.5040/9781509932771.ch-001.\n\n\nHong, Sanghyun, Nicholas Carlini, and Alexey Kurakin. 2023.\n“Publishing Efficient on-Device Models Increases Adversarial\nVulnerability.” In 2023 IEEE Conference on Secure and\nTrustworthy Machine Learning (SaTML), 271–90. IEEE; IEEE. https://doi.org/10.1109/satml54575.2023.00026.\n\n\nHosseini, Hossein, Sreeram Kannan, Baosen Zhang, and Radha Poovendran.\n2017. “Deceiving Google’s Perspective Api Built for Detecting\nToxic Comments.” ArXiv Preprint abs/1702.08138. https://arxiv.org/abs/1702.08138.\n\n\nHoward, Andrew G., Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun\nWang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017.\n“MobileNets: Efficient Convolutional\nNeural Networks for Mobile Vision Applications.” ArXiv\nPreprint. https://arxiv.org/abs/1704.04861.\n\n\nHsiao, Yu-Shun, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman\nMahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, and Vijay\nJanapa Reddi. 2023. “MAVFI: An\nEnd-to-End Fault Analysis Framework with Anomaly Detection and Recovery\nfor Micro Aerial Vehicles.” In 2023 Design, Automation\n&Amp; Test in Europe Conference &Amp; Exhibition (DATE),\n1–6. IEEE; IEEE. https://doi.org/10.23919/date56975.2023.10137246.\n\n\nHsu, Liang-Ching, Ching-Yi Huang, Yen-Hsun Chuang, Ho-Wen Chen, Ya-Ting\nChan, Heng Yi Teah, Tsan-Yao Chen, Chiung-Fen Chang, Yu-Ting Liu, and\nYu-Min Tzou. 2016. “Accumulation of Heavy Metals and Trace\nElements in Fluvial Sediments Received Effluents from Traditional and\nSemiconductor Industries.” Scientific Reports 6 (1):\n34250. https://doi.org/10.1038/srep34250.\n\n\nHu, Jie, Li Shen, and Gang Sun. 2018. “Squeeze-and-Excitation\nNetworks.” In 2018 IEEE/CVF Conference on Computer Vision and\nPattern Recognition, 7132–41. IEEE. https://doi.org/10.1109/cvpr.2018.00745.\n\n\nHu, Yang, Jie Jiang, Lifu Zhang, Yunfeng Shi, and Jian Shi. 2023.\n“Halide Perovskite Semiconductors.” Wiley. https://doi.org/10.1002/9783527829026.ch13.\n\n\nHuang, Tsung-Ching, Kenjiro Fukuda, Chun-Ming Lo, Yung-Hui Yeh, Tsuyoshi\nSekitani, Takao Someya, and Kwang-Ting Cheng. 2011.\n“Pseudo-CMOS: A Design Style for\nLow-Cost and Robust Flexible Electronics.” IEEE Trans.\nElectron Devices 58 (1): 141–50. https://doi.org/10.1109/ted.2010.2088127.\n\n\nHutter, Michael, Jorn-Marc Schmidt, and Thomas Plos. 2009.\n“Contact-Based Fault Injections and Power Analysis on\nRFID Tags.” In 2009 European Conference on\nCircuit Theory and Design, 409–12. IEEE; IEEE. https://doi.org/10.1109/ecctd.2009.5275012.\n\n\nIandola, Forrest N, Song Han, Matthew W Moskewicz, Khalid Ashraf,\nWilliam J Dally, and Kurt Keutzer. 2016. “SqueezeNet:\nAlexnet-level Accuracy with 50x Fewer\nParameters and 0.5 MB Model Size.” ArXiv\nPreprint abs/1602.07360. https://arxiv.org/abs/1602.07360.\n\n\nIgnatov, Andrey, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim\nHartley, and Luc Van Gool. 2018. “AI Benchmark:\nRunning Deep Neural Networks on Android\nSmartphones,” 0–0.\n\n\nImani, Mohsen, Abbas Rahimi, and Tajana S. Rosing. 2016.\n“Resistive Configurable Associative Memory for Approximate\nComputing.” In Proceedings of the 2016 Design, Automation\n&Amp; Test in Europe Conference &Amp; Exhibition (DATE),\n1327–32. IEEE; Research Publishing Services. https://doi.org/10.3850/9783981537079_0454.\n\n\nIntelLabs. 2023. “Knowledge Distillation - Neural Network\nDistiller.” https://intellabs.github.io/distiller/knowledge_distillation.html.\n\n\nIppolito, Daphne, Florian Tramer, Milad Nasr, Chiyuan Zhang, Matthew\nJagielski, Katherine Lee, Christopher Choquette Choo, and Nicholas\nCarlini. 2023. “Preventing Generation of Verbatim Memorization in\nLanguage Models Gives a False Sense of Privacy.” In\nProceedings of the 16th International Natural Language Generation\nConference, 5253–70. Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.inlg-main.3.\n\n\nIrimia-Vladu, Mihai. 2014.\n““Green” Electronics:\nBiodegradable and Biocompatible Materials and Devices for\nSustainable Future.” Chem. Soc. Rev. 43 (2): 588–610. https://doi.org/10.1039/c3cs60235d.\n\n\nIsscc. 2014. “Computing’s Energy Problem (and What We Can Do about\nIt).” https://ieeexplore.ieee.org/document/6757323.\n\n\nJacob, Benoit, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang,\nAndrew Howard, Hartwig Adam, and Dmitry Kalenichenko. 2018.\n“Quantization and Training of Neural Networks for Efficient\nInteger-Arithmetic-Only Inference.” In Proceedings of the\nIEEE Conference on Computer Vision and Pattern Recognition,\n2704–13.\n\n\nJanapa Reddi, Vijay, Alexander Elium, Shawn Hymel, David Tischler,\nDaniel Situnayake, Carl Ward, Louis Moreau, et al. 2023. “Edge\nImpulse: An MLOps Platform for Tiny Machine\nLearning.” Proceedings of Machine Learning and Systems\n5.\n\n\nJha, A. R. 2014. Rare Earth Materials: Properties and\nApplications. CRC Press. https://doi.org/10.1201/b17045.\n\n\nJha, Saurabh, Subho Banerjee, Timothy Tsai, Siva K. S. Hari, Michael B.\nSullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, and Ravishankar K.\nIyer. 2019. “ML-Based Fault Injection for Autonomous\nVehicles: A Case for Bayesian Fault\nInjection.” In 2019 49th Annual IEEE/IFIP International\nConference on Dependable Systems and Networks (DSN), 112–24. IEEE;\nIEEE. https://doi.org/10.1109/dsn.2019.00025.\n\n\nJia, Yangqing, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan\nLong, Ross Girshick, Sergio Guadarrama, and Trevor Darrell. 2014.\n“Caffe: Convolutional Architecture for Fast Feature\nEmbedding.” In Proceedings of the 22nd ACM International\nConference on Multimedia, 675–78. ACM. https://doi.org/10.1145/2647868.2654889.\n\n\nJia, Zhe, Marco Maggioni, Benjamin Staiger, and Daniele P. Scarpazza.\n2018. “Dissecting the NVIDIA Volta\nGPU Architecture via Microbenchmarking.” ArXiv\nPreprint. https://arxiv.org/abs/1804.06826.\n\n\nJia, Zhenge, Dawei Li, Xiaowei Xu, Na Li, Feng Hong, Lichuan Ping, and\nYiyu Shi. 2023. “Life-Threatening Ventricular Arrhythmia Detection\nChallenge in Implantable\nCardioverterdefibrillators.” Nature Machine\nIntelligence 5 (5): 554–55. https://doi.org/10.1038/s42256-023-00659-9.\n\n\nJia, Zhihao, Matei Zaharia, and Alex Aiken. 2019. “Beyond Data and\nModel Parallelism for Deep Neural Networks.” In Proceedings\nof Machine Learning and Systems 2019, MLSys 2019, Stanford, CA, USA,\nMarch 31 - April 2, 2019, edited by Ameet Talwalkar, Virginia\nSmith, and Matei Zaharia. mlsys.org. https://proceedings.mlsys.org/book/265.pdf.\n\n\nJin, Yilun, Xiguang Wei, Yang Liu, and Qiang Yang. 2020. “Towards\nUtilizing Unlabeled Data in Federated Learning: A Survey\nand Prospective.” arXiv Preprint arXiv:2002.11545.\n\n\nJohnson-Roberson, Matthew, Charles Barto, Rounak Mehta, Sharath Nittur\nSridhar, Karl Rosaen, and Ram Vasudevan. 2017. “Driving in the\nMatrix: Can Virtual Worlds Replace Human-Generated\nAnnotations for Real World Tasks?” In 2017 IEEE International\nConference on Robotics and Automation (ICRA), 746–53. Singapore,\nSingapore: IEEE. https://doi.org/10.1109/icra.2017.7989092.\n\n\nJouppi, Norman P., Cliff Young, Nishant Patil, David Patterson, Gaurav\nAgrawal, Raminder Bajwa, Sarah Bates, et al. 2017a. “In-Datacenter\nPerformance Analysis of a Tensor Processing Unit.” In\nProceedings of the 44th Annual International Symposium on Computer\nArchitecture, 1–12. ISCA ’17. New York, NY, USA: ACM. https://doi.org/10.1145/3079856.3080246.\n\n\n———, et al. 2017b. “In-Datacenter Performance Analysis of a Tensor\nProcessing Unit.” In Proceedings of the 44th Annual\nInternational Symposium on Computer Architecture, 1–12. ISCA ’17.\nNew York, NY, USA: ACM. https://doi.org/10.1145/3079856.3080246.\n\n\nJouppi, Norm, George Kurian, Sheng Li, Peter Ma, Rahul Nagarajan, Lifeng\nNai, Nishant Patil, et al. 2023. “TPU V4:\nAn Optically Reconfigurable Supercomputer for Machine\nLearning with Hardware Support for Embeddings.” In\nProceedings of the 50th Annual International Symposium on Computer\nArchitecture. ISCA ’23. New York, NY, USA: ACM. https://doi.org/10.1145/3579371.3589350.\n\n\nJoye, Marc, and Michael Tunstall. 2012. Fault Analysis in\nCryptography. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-29656-7.\n\n\nKairouz, Peter, Sewoong Oh, and Pramod Viswanath. 2015. “Secure\nMulti-Party Differential Privacy.” In Advances in Neural\nInformation Processing Systems 28: Annual Conference on Neural\nInformation Processing Systems 2015, December 7-12, 2015, Montreal,\nQuebec, Canada, edited by Corinna Cortes, Neil D. Lawrence, Daniel\nD. Lee, Masashi Sugiyama, and Roman Garnett, 2008–16. https://proceedings.neurips.cc/paper/2015/hash/a01610228fe998f515a72dd730294d87-Abstract.html.\n\n\nKalamkar, Dhiraj, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das,\nKunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, et al. 2019.\n“A Study of BFLOAT16 for Deep Learning\nTraining.” https://arxiv.org/abs/1905.12322.\n\n\nKao, Sheng-Chun, Geonhwa Jeong, and Tushar Krishna. 2020.\n“ConfuciuX: Autonomous Hardware Resource\nAssignment for DNN Accelerators Using Reinforcement\nLearning.” In 2020 53rd Annual IEEE/ACM International\nSymposium on Microarchitecture (MICRO), 622–36. IEEE; IEEE. https://doi.org/10.1109/micro50266.2020.00058.\n\n\nKao, Sheng-Chun, and Tushar Krishna. 2020. “Gamma: Automating the\nHW Mapping of DNN Models on Accelerators via Genetic Algorithm.”\nIn Proceedings of the 39th International Conference on\nComputer-Aided Design, 1–9. ACM. https://doi.org/10.1145/3400302.3415639.\n\n\nKaplan, Jared, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin\nChess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario\nAmodei. 2020. “Scaling Laws for Neural Language Models.”\nArXiv Preprint abs/2001.08361. https://arxiv.org/abs/2001.08361.\n\n\nKarargyris, Alexandros, Renato Umeton, Micah J Sheller, Alejandro\nAristizabal, Johnu George, Anna Wuest, Sarthak Pati, et al. 2023.\n“Federated Benchmarking of Medical Artificial Intelligence with\nMedPerf.” Nature Machine Intelligence 5\n(7): 799–810. https://doi.org/10.1038/s42256-023-00652-2.\n\n\nKaur, Harmanpreet, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna\nWallach, and Jennifer Wortman Vaughan. 2020. “Interpreting\nInterpretability: Understanding Data Scientists’ Use of\nInterpretability Tools for Machine Learning.” In Proceedings\nof the 2020 CHI Conference on Human Factors in Computing Systems,\nedited by Regina Bernhaupt, Florian ’Floyd’Mueller, David Verweij, Josh\nAndres, Joanna McGrenere, Andy Cockburn, Ignacio Avellino, et al., 1–14.\nACM. https://doi.org/10.1145/3313831.3376219.\n\n\nKawazoe Aguilera, Marcos, Wei Chen, and Sam Toueg. 1997.\n“Heartbeat: A Timeout-Free Failure Detector for\nQuiescent Reliable Communication.” In Distributed Algorithms:\n11th International Workshop, WDAG’97 Saarbrücken, Germany, September\n2426, 1997 Proceedings 11, 126–40. Springer.\n\n\nKhan, Mohammad Emtiyaz, and Siddharth Swaroop. 2021.\n“Knowledge-Adaptation Priors.” In Advances in Neural\nInformation Processing Systems 34: Annual Conference on Neural\nInformation Processing Systems 2021, NeurIPS 2021, December 6-14, 2021,\nVirtual, edited by Marc’Aurelio Ranzato, Alina Beygelzimer, Yann N.\nDauphin, Percy Liang, and Jennifer Wortman Vaughan, 19757–70. https://proceedings.neurips.cc/paper/2021/hash/a4380923dd651c195b1631af7c829187-Abstract.html.\n\n\nKiela, Douwe, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger,\nZhengxuan Wu, Bertie Vidgen, et al. 2021. “Dynabench:\nRethinking Benchmarking in NLP.” In\nProceedings of the 2021 Conference of the North American Chapter of\nthe Association for Computational Linguistics: Human Language\nTechnologies, 4110–24. Online: Association for Computational\nLinguistics. https://doi.org/10.18653/v1/2021.naacl-main.324.\n\n\nKim, Jungrae, Michael Sullivan, and Mattan Erez. 2015. “Bamboo\nECC: Strong, Safe, and Flexible Codes for\nReliable Computer Memory.” In 2015 IEEE 21st International\nSymposium on High Performance Computer Architecture (HPCA), 101–12.\nIEEE; IEEE. https://doi.org/10.1109/hpca.2015.7056025.\n\n\nKim, Sunju, Chungsik Yoon, Seunghon Ham, Jihoon Park, Ohun Kwon, Donguk\nPark, Sangjun Choi, Seungwon Kim, Kwonchul Ha, and Won Kim. 2018.\n“Chemical Use in the Semiconductor Manufacturing Industry.”\nInt. J. Occup. Env. Heal. 24 (3-4): 109–18. https://doi.org/10.1080/10773525.2018.1519957.\n\n\nKingma, Diederik P., and Jimmy Ba. 2015. “Adam: A\nMethod for Stochastic Optimization.” In 3rd International\nConference on Learning Representations, ICLR 2015, San Diego, CA, USA,\nMay 7-9, 2015, Conference Track Proceedings, edited by Yoshua\nBengio and Yann LeCun. http://arxiv.org/abs/1412.6980.\n\n\nKirkpatrick, James, Razvan Pascanu, Neil Rabinowitz, Joel Veness,\nGuillaume Desjardins, Andrei A. Rusu, Kieran Milan, et al. 2017.\n“Overcoming Catastrophic Forgetting in Neural Networks.”\nProc. Natl. Acad. Sci. 114 (13): 3521–26. https://doi.org/10.1073/pnas.1611835114.\n\n\nKo, Yohan. 2021. “Characterizing System-Level Masking Effects\nAgainst Soft Errors.” Electronics 10 (18): 2286. https://doi.org/10.3390/electronics10182286.\n\n\nKocher, Paul, Jann Horn, Anders Fogh, Daniel Genkin, Daniel Gruss,\nWerner Haas, Mike Hamburg, et al. 2019a. “Spectre Attacks:\nExploiting Speculative Execution.” In 2019 IEEE\nSymposium on Security and Privacy (SP). IEEE. https://doi.org/10.1109/sp.2019.00002.\n\n\n———, et al. 2019b. “Spectre Attacks: Exploiting\nSpeculative Execution.” In 2019 IEEE Symposium on Security\nand Privacy (SP). IEEE. https://doi.org/10.1109/sp.2019.00002.\n\n\nKocher, Paul, Joshua Jaffe, and Benjamin Jun. 1999. “Differential\nPower Analysis.” In Advances in\nCryptologyCRYPTO’99: 19th Annual International Cryptology\nConference Santa Barbara, California, USA, August 1519,\n1999 Proceedings 19, 388–97. Springer.\n\n\nKocher, Paul, Joshua Jaffe, Benjamin Jun, and Pankaj Rohatgi. 2011.\n“Introduction to Differential Power Analysis.” Journal\nof Cryptographic Engineering 1 (1): 5–27. https://doi.org/10.1007/s13389-011-0006-y.\n\n\nKoh, Pang Wei, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma\nPierson, Been Kim, and Percy Liang. 2020. “Concept Bottleneck\nModels.” In Proceedings of the 37th International Conference\non Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event,\n119:5338–48. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v119/koh20a.html.\n\n\nKoh, Pang Wei, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin\nZhang, Akshay Balsubramani, Weihua Hu, et al. 2021.\n“WILDS: A Benchmark of in-the-Wild\nDistribution Shifts.” In Proceedings of the 38th\nInternational Conference on Machine Learning, ICML 2021, 18-24 July\n2021, Virtual Event, edited by Marina Meila and Tong Zhang,\n139:5637–64. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v139/koh21a.html.\n\n\nKoren, Yehuda, Robert Bell, and Chris Volinsky. 2009. “Matrix\nFactorization Techniques for Recommender Systems.”\nComputer 42 (8): 30–37. https://doi.org/10.1109/mc.2009.263.\n\n\nKrishna, Adithya, Srikanth Rohit Nudurupati, Chandana D G, Pritesh\nDwivedi, André van Schaik, Mahesh Mehendale, and Chetan Singh Thakur.\n2023. “RAMAN: A Re-Configurable and\nSparse TinyML Accelerator for Inference on Edge.” https://arxiv.org/abs/2306.06493.\n\n\nKrishnamoorthi. 2018. “Quantizing Deep Convolutional Networks for\nEfficient Inference: A Whitepaper.” ArXiv\nPreprint. https://arxiv.org/abs/1806.08342.\n\n\nKrishnan, Rayan, Pranav Rajpurkar, and Eric J. Topol. 2022.\n“Self-Supervised Learning in Medicine and Healthcare.”\nNat. Biomed. Eng. 6 (12): 1346–52. https://doi.org/10.1038/s41551-022-00914-1.\n\n\nKrishnan, Srivatsan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang,\nIzzeddin Gur, Vijay Janapa Reddi, and Aleksandra Faust. 2022.\n“Multi-Agent Reinforcement Learning for Microprocessor Design\nSpace Exploration.” https://arxiv.org/abs/2211.16385.\n\n\nKrishnan, Srivatsan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour,\nIkechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, et al. 2023.\n“ArchGym: An Open-Source Gymnasium for\nMachine Learning Assisted Architecture Design.” In\nProceedings of the 50th Annual International Symposium on Computer\nArchitecture, 1–16. ACM. https://doi.org/10.1145/3579371.3589049.\n\n\nKrizhevsky, Alex, Ilya Sutskever, and Geoffrey E Hinton. 2012a.\n“ImageNet Classification with Deep Convolutional Neural\nNetworks.” Edited by F. Pereira, C. J. Burges, L. Bottou, and K.\nQ. Weinberger 25. https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf.\n\n\nKrizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. 2012b.\n“ImageNet Classification with Deep Convolutional\nNeural Networks.” In Advances in Neural Information\nProcessing Systems 25: 26th Annual Conference on Neural Information\nProcessing Systems 2012. Proceedings of a Meeting Held December 3-6,\n2012, Lake Tahoe, Nevada, United States, edited by Peter L.\nBartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou,\nand Kilian Q. Weinberger, 1106–14. https://proceedings.neurips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html.\n\n\nKung, Hsiang Tsung, and Charles E Leiserson. 1979. “Systolic\nArrays (for VLSI).” In Sparse Matrix Proceedings\n1978, 1:256–82. Society for industrial; applied mathematics\nPhiladelphia, PA, USA.\n\n\nKurth, Thorsten, Shashank Subramanian, Peter Harrington, Jaideep Pathak,\nMorteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, and Anima\nAnandkumar. 2023. “FourCastNet:\nAccelerating Global High-Resolution Weather Forecasting\nUsing Adaptive Fourier Neural Operators.” In\nProceedings of the Platform for Advanced Scientific Computing\nConference, 1–11. ACM. https://doi.org/10.1145/3592979.3593412.\n\n\nKuzmin, Andrey, Mart Van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters,\nand Tijmen Blankevoort. 2022. “FP8 Quantization:\nThe Power of the Exponent.” https://arxiv.org/abs/2208.09225.\n\n\nKwon, Jisu, and Daejin Park. 2021. “Hardware/Software\nCo-Design for TinyML Voice-Recognition Application on\nResource Frugal Edge Devices.” Applied Sciences 11 (22):\n11073. https://doi.org/10.3390/app112211073.\n\n\nKwon, Sun Hwa, and Lin Dong. 2022. “Flexible Sensors and Machine\nLearning for Heart Monitoring.” Nano Energy 102\n(November): 107632. https://doi.org/10.1016/j.nanoen.2022.107632.\n\n\nKwon, Young D, Rui Li, Stylianos I Venieris, Jagmohan Chauhan, Nicholas\nD Lane, and Cecilia Mascolo. 2023. “TinyTrain:\nDeep Neural Network Training at the Extreme Edge.”\nArXiv Preprint abs/2307.09988. https://arxiv.org/abs/2307.09988.\n\n\nLai, Liangzhen, Naveen Suda, and Vikas Chandra. 2018a. “Cmsis-Nn:\nEfficient Neural Network Kernels for Arm Cortex-m\nCpus.” ArXiv Preprint abs/1801.06601. https://arxiv.org/abs/1801.06601.\n\n\n———. 2018b. “CMSIS-NN:\nEfficient Neural Network Kernels for Arm Cortex-m\nCPUs.” https://arxiv.org/abs/1801.06601.\n\n\nLakkaraju, Himabindu, and Osbert Bastani. 2020. “”How\nDo i Fool You?”: Manipulating User Trust via Misleading Black Box\nExplanations.” In Proceedings of the AAAI/ACM Conference on\nAI, Ethics, and Society, 79–85. ACM. https://doi.org/10.1145/3375627.3375833.\n\n\nLam, Remi, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger,\nMeire Fortunato, Ferran Alet, Suman Ravuri, et al. 2023. “Learning\nSkillful Medium-Range Global Weather Forecasting.”\nScience 382 (6677): 1416–21. https://doi.org/10.1126/science.adi2336.\n\n\nLannelongue, Loı̈c, Jason Grealey, and Michael Inouye. 2021. “Green\nAlgorithms: Quantifying the Carbon Footprint of\nComputation.” Adv. Sci. 8 (12): 2100707. https://doi.org/10.1002/advs.202100707.\n\n\nLeCun, Yann, John Denker, and Sara Solla. 1989. “Optimal Brain\nDamage.” Adv Neural Inf Process Syst 2.\n\n\nLee, Minwoong, Namho Lee, Huijeong Gwon, Jongyeol Kim, Younggwan Hwang,\nand Seongik Cho. 2022. “Design of Radiation-Tolerant High-Speed\nSignal Processing Circuit for Detecting Prompt Gamma Rays by Nuclear\nExplosion.” Electronics 11 (18): 2970. https://doi.org/10.3390/electronics11182970.\n\n\nLeRoy Poff, N, MM Brinson, and JW Day. 2002. “Aquatic Ecosystems\n& Global Climate Change.” Pew Center on Global Climate\nChange.\n\n\nLi, En, Liekang Zeng, Zhi Zhou, and Xu Chen. 2020. “Edge\nAI: On-demand Accelerating Deep\nNeural Network Inference via Edge Computing.” IEEE Trans.\nWireless Commun. 19 (1): 447–57. https://doi.org/10.1109/twc.2019.2946140.\n\n\nLi, Guanpeng, Siva Kumar Sastry Hari, Michael Sullivan, Timothy Tsai,\nKarthik Pattabiraman, Joel Emer, and Stephen W. Keckler. 2017.\n“Understanding Error Propagation in Deep Learning Neural Network\n(DNN) Accelerators and Applications.” In\nProceedings of the International Conference for High Performance\nComputing, Networking, Storage and Analysis, 1–12. ACM. https://doi.org/10.1145/3126908.3126964.\n\n\nLi, Jingzhen, Igbe Tobore, Yuhang Liu, Abhishek Kandwal, Lei Wang, and\nZedong Nie. 2021. “Non-Invasive Monitoring of Three Glucose Ranges\nBased on ECG by Using\nDBSCAN-CNN.” #IEEE_J_BHI# 25\n(9): 3340–50. https://doi.org/10.1109/jbhi.2021.3072628.\n\n\nLi, Mu, David G. Andersen, Alexander J. Smola, and Kai Yu. 2014.\n“Communication Efficient Distributed Machine Learning with the\nParameter Server.” In Advances in Neural Information\nProcessing Systems 27: Annual Conference on Neural Information\nProcessing Systems 2014, December 8-13 2014, Montreal, Quebec,\nCanada, edited by Zoubin Ghahramani, Max Welling, Corinna Cortes,\nNeil D. Lawrence, and Kilian Q. Weinberger, 19–27. https://proceedings.neurips.cc/paper/2014/hash/1ff1de774005f8da13f42943881c655f-Abstract.html.\n\n\nLi, Qinbin, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu,\nand Bingsheng He. 2023. “A Survey on Federated Learning Systems:\nVision, Hype and Reality for Data Privacy and\nProtection.” IEEE Trans. Knowl. Data Eng. 35 (4):\n3347–66. https://doi.org/10.1109/tkde.2021.3124599.\n\n\nLi, Tian, Anit Kumar Sahu, Ameet Talwalkar, and Virginia Smith. 2020.\n“Federated Learning: Challenges, Methods, and Future\nDirections.” IEEE Signal Process Mag. 37 (3): 50–60. https://doi.org/10.1109/msp.2020.2975749.\n\n\nLi, Xiang, Tao Qin, Jian Yang, and Tie-Yan Liu. 2016.\n“LightRNN: Memory and\nComputation-Efficient Recurrent Neural Networks.” In Advances\nin Neural Information Processing Systems 29: Annual Conference on Neural\nInformation Processing Systems 2016, December 5-10, 2016, Barcelona,\nSpain, edited by Daniel D. Lee, Masashi Sugiyama, Ulrike von\nLuxburg, Isabelle Guyon, and Roman Garnett, 4385–93. https://proceedings.neurips.cc/paper/2016/hash/c3e4035af2a1cde9f21e1ae1951ac80b-Abstract.html.\n\n\nLi, Yuhang, Xin Dong, and Wei Wang. 2020. “Additive Powers-of-Two\nQuantization: An Efficient Non-Uniform Discretization for\nNeural Networks.” In 8th International Conference on Learning\nRepresentations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30,\n2020. OpenReview.net. https://openreview.net/forum?id=BkgXT24tDS.\n\n\nLi, Zhizhong, and Derek Hoiem. 2018. “Learning Without\nForgetting.” IEEE Trans. Pattern Anal. Mach. Intell. 40\n(12): 2935–47. https://doi.org/10.1109/tpami.2017.2773081.\n\n\nLin, Ji, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, and Song Han.\n2020. “MCUNet: Tiny Deep Learning on\nIoT Devices.” In Advances in Neural Information\nProcessing Systems 33: Annual Conference on Neural Information\nProcessing Systems 2020, NeurIPS 2020, December 6-12, 2020,\nVirtual, edited by Hugo Larochelle, Marc’Aurelio Ranzato, Raia\nHadsell, Maria-Florina Balcan, and Hsuan-Tien Lin. https://proceedings.neurips.cc/paper/2020/hash/86c51678350f656dcc7f490a43946ee5-Abstract.html.\n\n\nLin, Ji, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, and Song\nHan. 2022. “On-Device Training Under 256kb Memory.”\nAdv. Neur. In. 35: 22941–54.\n\n\nLin, Tsung-Yi, Michael Maire, Serge Belongie, James Hays, Pietro Perona,\nDeva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014.\n“Microsoft Coco: Common Objects in Context.”\nIn Computer VisionECCV 2014: 13th European Conference,\nZurich, Switzerland, September 6-12, 2014, Proceedings, Part v 13,\n740–55. Springer.\n\n\nLindgren, Simon. 2023. Handbook of Critical Studies of Artificial\nIntelligence. Edward Elgar Publishing.\n\n\nLindholm, Andreas, Dave Zachariah, Petre Stoica, and Thomas B. Schon.\n2019. “Data Consistency Approach to Model Validation.”\n#IEEE_O_ACC# 7: 59788–96. https://doi.org/10.1109/access.2019.2915109.\n\n\nLindholm, Erik, John Nickolls, Stuart Oberman, and John Montrym. 2008.\n“NVIDIA Tesla: A Unified Graphics and\nComputing Architecture.” IEEE Micro 28 (2): 39–55. https://doi.org/10.1109/mm.2008.31.\n\n\nLin, Tang Tang, Dang Yang, and Han Gan. 2023. “AWQ:\nActivation-aware Weight Quantization for\nLLM Compression and Acceleration.” ArXiv\nPreprint. https://arxiv.org/abs/2306.00978.\n\n\nLiu, Yanan, Xiaoxia Wei, Jinyu Xiao, Zhijie Liu, Yang Xu, and Yun Tian.\n2020. “Energy Consumption and Emission Mitigation Prediction Based\non Data Center Traffic and PUE for Global Data\nCenters.” Global Energy Interconnection 3 (3): 272–82.\nhttps://doi.org/10.1016/j.gloei.2020.07.008.\n\n\nLiu, Yingcheng, Guo Zhang, Christopher G. Tarolli, Rumen Hristov, Stella\nJensen-Roberts, Emma M. Waddell, Taylor L. Myers, et al. 2022.\n“Monitoring Gait at Home with Radio Waves in\nParkinson’s Disease: A Marker of Severity,\nProgression, and Medication Response.” Sci. Transl. Med.\n14 (663): eadc9669. https://doi.org/10.1126/scitranslmed.adc9669.\n\n\nLoh, Gabriel H. 2008. “3D-Stacked Memory\nArchitectures for Multi-Core Processors.” ACM SIGARCH\nComputer Architecture News 36 (3): 453–64. https://doi.org/10.1145/1394608.1382159.\n\n\nLopez-Paz, David, and Marc’Aurelio Ranzato. 2017. “Gradient\nEpisodic Memory for Continual Learning.” Adv Neural Inf\nProcess Syst 30.\n\n\nLou, Yin, Rich Caruana, Johannes Gehrke, and Giles Hooker. 2013.\n“Accurate Intelligible Models with Pairwise Interactions.”\nIn Proceedings of the 19th ACM SIGKDD International Conference on\nKnowledge Discovery and Data Mining, edited by Inderjit S. Dhillon,\nYehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh,\nJingrui He, Robert L. Grossman, and Ramasamy Uthurusamy, 623–31. ACM. https://doi.org/10.1145/2487575.2487579.\n\n\nLowy, Andrew, Rakesh Pavan, Sina Baharlouei, Meisam Razaviyayn, and\nAhmad Beirami. 2021. “Fermi: Fair Empirical Risk\nMinimization via Exponential Rényi Mutual Information.”\n\n\nLuebke, David. 2008. “CUDA: Scalable\nParallel Programming for High-Performance Scientific Computing.”\nIn 2008 5th IEEE International Symposium on Biomedical Imaging: From\nNano to Macro, 836–38. IEEE. https://doi.org/10.1109/isbi.2008.4541126.\n\n\nLundberg, Scott M., and Su-In Lee. 2017. “A Unified Approach to\nInterpreting Model Predictions.” In Advances in Neural\nInformation Processing Systems 30: Annual Conference on Neural\nInformation Processing Systems 2017, December 4-9, 2017, Long Beach, CA,\nUSA, edited by Isabelle Guyon, Ulrike von Luxburg, Samy Bengio,\nHanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, and Roman Garnett,\n4765–74. https://proceedings.neurips.cc/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html.\n\n\nMa, Dongning, Fred Lin, Alban Desmaison, Joel Coburn, Daniel Moore,\nSriram Sankar, and Xun Jiao. 2024. “Dr.\nDNA: Combating Silent Data Corruptions in Deep\nLearning Using Distribution of Neuron Activations.” In\nProceedings of the 29th ACM International Conference on\nArchitectural Support for Programming Languages and Operating Systems,\nVolume 3, 239–52. ACM. https://doi.org/10.1145/3620666.3651349.\n\n\nMaas, Martin, David G. Andersen, Michael Isard, Mohammad Mahdi\nJavanmard, Kathryn S. McKinley, and Colin Raffel. 2024. “Combining\nMachine Learning and Lifetime-Based Resource Management for Memory\nAllocation and Beyond.” Commun. ACM 67 (4): 87–96. https://doi.org/10.1145/3611018.\n\n\nMaass, Wolfgang. 1997. “Networks of Spiking Neurons:\nThe Third Generation of Neural Network Models.”\nNeural Networks 10 (9): 1659–71. https://doi.org/10.1016/s0893-6080(97)00011-7.\n\n\nMadry, Aleksander, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras,\nand Adrian Vladu. 2017. “Towards Deep Learning Models Resistant to\nAdversarial Attacks.” arXiv Preprint arXiv:1706.06083.\n\n\nMahmoud, Abdulrahman, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez\nVicarte, Sarita V. Adve, Christopher W. Fletcher, Iuri Frosio, and Siva\nKumar Sastry Hari. 2020. “PyTorchFI: A\nRuntime Perturbation Tool for DNNs.” In 2020\n50th Annual IEEE/IFIP International Conference on Dependable Systems and\nNetworks Workshops (DSN-w), 25–31. IEEE; IEEE. https://doi.org/10.1109/dsn-w50199.2020.00014.\n\n\nMahmoud, Abdulrahman, Siva Kumar Sastry Hari, Christopher W. Fletcher,\nSarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael\nB. Sullivan, Timothy Tsai, and Stephen W. Keckler. 2021.\n“Optimizing Selective Protection for CNN\nResilience.” In 2021 IEEE 32nd International Symposium on\nSoftware Reliability Engineering (ISSRE), 127–38. IEEE. https://doi.org/10.1109/issre52982.2021.00025.\n\n\nMahmoud, Abdulrahman, Thierry Tambe, Tarek Aloui, David Brooks, and\nGu-Yeon Wei. 2022. “GoldenEye: A\nPlatform for Evaluating Emerging Numerical Data Formats in\nDNN Accelerators.” In 2022 52nd Annual IEEE/IFIP\nInternational Conference on Dependable Systems and Networks (DSN),\n206–14. IEEE. https://doi.org/10.1109/dsn53405.2022.00031.\n\n\nMarković, Danijela, Alice Mizrahi, Damien Querlioz, and Julie Grollier.\n2020. “Physics for Neuromorphic Computing.” Nature\nReviews Physics 2 (9): 499–510. https://doi.org/10.1038/s42254-020-0208-2.\n\n\nMartin, C. Dianne. 1993. “The Myth of the Awesome Thinking\nMachine.” Commun. ACM 36 (4): 120–33. https://doi.org/10.1145/255950.153587.\n\n\nMarulli, Fiammetta, Stefano Marrone, and Laura Verde. 2022.\n“Sensitivity of Machine Learning Approaches to Fake and Untrusted\nData in Healthcare Domain.” Journal of Sensor and Actuator\nNetworks 11 (2): 21. https://doi.org/10.3390/jsan11020021.\n\n\nMaslej, Nestor, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy,\nKatrina Ligett, Terah Lyons, James Manyika, et al. 2023.\n“Artificial Intelligence Index Report 2023.” ArXiv\nPreprint abs/2310.03715. https://arxiv.org/abs/2310.03715.\n\n\nMattson, Peter, Vijay Janapa Reddi, Christine Cheng, Cody Coleman, Greg\nDiamos, David Kanter, Paulius Micikevicius, et al. 2020a.\n“MLPerf: An Industry Standard Benchmark\nSuite for Machine Learning Performance.” IEEE Micro 40\n(2): 8–16. https://doi.org/10.1109/mm.2020.2974843.\n\n\n———, et al. 2020b. “MLPerf: An Industry\nStandard Benchmark Suite for Machine Learning Performance.”\nIEEE Micro 40 (2): 8–16. https://doi.org/10.1109/mm.2020.2974843.\n\n\nMazumder, Mark, Sharad Chitlangia, Colby Banbury, Yiping Kang, Juan\nManuel Ciro, Keith Achorn, Daniel Galvez, et al. 2021.\n“Multilingual Spoken Words Corpus.” In Thirty-Fifth\nConference on Neural Information Processing Systems Datasets and\nBenchmarks Track (Round 2).\n\n\nMcCarthy, John. 1981. “Epistemological Problems of Artificial\nIntelligence.” In Readings in Artificial Intelligence,\n459–65. Elsevier. https://doi.org/10.1016/b978-0-934613-03-3.50035-0.\n\n\nMcMahan, Brendan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise\nAgüera y Arcas. 2017. “Communication-Efficient Learning of Deep\nNetworks from Decentralized Data.” In Proceedings of the 20th\nInternational Conference on Artificial Intelligence and Statistics,\nAISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, edited by\nAarti Singh and Xiaojin (Jerry) Zhu, 54:1273–82. Proceedings of Machine\nLearning Research. PMLR. http://proceedings.mlr.press/v54/mcmahan17a.html.\n\n\nMiller, Charlie. 2019. “Lessons Learned from Hacking a\nCar.” IEEE Design &Amp; Test 36 (6): 7–9. https://doi.org/10.1109/mdat.2018.2863106.\n\n\nMiller, Charlie, and Chris Valasek. 2015. “Remote Exploitation of\nan Unaltered Passenger Vehicle.” Black Hat USA 2015 (S\n91): 1–91.\n\n\nMiller, D. A. B. 2000. “Optical Interconnects to Silicon.”\n#IEEE_J_JSTQE# 6 (6): 1312–17. https://doi.org/10.1109/2944.902184.\n\n\nMills, Andrew, and Stephen Le Hunte. 1997. “An Overview of\nSemiconductor Photocatalysis.” J. Photochem. Photobiol.,\nA 108 (1): 1–35. https://doi.org/10.1016/s1010-6030(97)00118-4.\n\n\nMirhoseini, Azalia, Anna Goldie, Mustafa Yazgan, Joe Wenjie Jiang,\nEbrahim Songhori, Shen Wang, Young-Joon Lee, et al. 2021. “A Graph\nPlacement Methodology for Fast Chip Design.” Nature 594\n(7862): 207–12. https://doi.org/10.1038/s41586-021-03544-w.\n\n\nMishra, Asit K., Jorge Albericio Latorre, Jeff Pool, Darko Stosic, Dusan\nStosic, Ganesh Venkatesh, Chong Yu, and Paulius Micikevicius. 2021.\n“Accelerating Sparse Deep Neural Networks.” CoRR\nabs/2104.08378. https://arxiv.org/abs/2104.08378.\n\n\nMittal, Sparsh, Gaurav Verma, Brajesh Kaushik, and Farooq A. Khanday.\n2021. “A Survey of SRAM-Based in-Memory Computing\nTechniques and Applications.” J. Syst. Architect. 119\n(October): 102276. https://doi.org/10.1016/j.sysarc.2021.102276.\n\n\nModha, Dharmendra S., Filipp Akopyan, Alexander Andreopoulos,\nRathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta,\net al. 2023. “Neural Inference at the Frontier of Energy, Space,\nand Time.” Science 382 (6668): 329–35. https://doi.org/10.1126/science.adh1174.\n\n\nMohanram, K., and N. A. Touba. 2003. “Partial Error Masking to\nReduce Soft Error Failure Rate in Logic Circuits.” In\nProceedings. 16th IEEE Symposium on Computer Arithmetic,\n433–40. IEEE; IEEE Comput. Soc. https://doi.org/10.1109/dftvs.2003.1250141.\n\n\nMonyei, Chukwuka G., and Kirsten E. H. Jenkins. 2018. “Electrons\nHave No Identity: Setting Right Misrepresentations in\nGoogle and Apple’s Clean Energy Purchasing.”\nEnergy Research &Amp; Social Science 46 (December): 48–51.\nhttps://doi.org/10.1016/j.erss.2018.06.015.\n\n\nMoshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim,\nand Ali Raad. 2023. “Reviewing Federated Learning Aggregation\nAlgorithms; Strategies, Contributions, Limitations and Future\nPerspectives.” Electronics 12 (10): 2287. https://doi.org/10.3390/electronics12102287.\n\n\nMukherjee, S. S., J. Emer, and S. K. Reinhardt. 2005. “The Soft\nError Problem: An Architectural Perspective.” In\n11th International Symposium on High-Performance Computer\nArchitecture, 243–47. IEEE; IEEE. https://doi.org/10.1109/hpca.2005.37.\n\n\nMunshi, Aaftab. 2009. “The OpenCL\nSpecification.” In 2009 IEEE Hot Chips 21 Symposium\n(HCS), 1–314. IEEE. https://doi.org/10.1109/hotchips.2009.7478342.\n\n\nMusk, Elon et al. 2019. “An Integrated Brain-Machine Interface\nPlatform with Thousands of Channels.” J. Med. Internet\nRes. 21 (10): e16194. https://doi.org/10.2196/16194.\n\n\nMyllyaho, Lalli, Mikko Raatikainen, Tomi Männistö, Jukka K. Nurminen,\nand Tommi Mikkonen. 2022. “On Misbehaviour and Fault Tolerance in\nMachine Learning Systems.” J. Syst. Software 183\n(January): 111096. https://doi.org/10.1016/j.jss.2021.111096.\n\n\nNakano, Jane. 2021. The Geopolitics of Critical Minerals Supply\nChains. JSTOR.\n\n\nNarayanan, Arvind, and Vitaly Shmatikov. 2006. “How to Break\nAnonymity of the Netflix Prize Dataset.” arXiv Preprint\nCs/0610105.\n\n\nNg, Davy Tsz Kit, Jac Ka Lok Leung, Kai Wah Samuel Chu, and Maggie Shen\nQiao. 2021. “AI Literacy: Definition,\nTeaching, Evaluation and Ethical Issues.” Proceedings of the\nAssociation for Information Science and Technology 58 (1): 504–9.\n\n\nNgo, Richard, Lawrence Chan, and Sören Mindermann. 2022. “The\nAlignment Problem from a Deep Learning Perspective.” ArXiv\nPreprint abs/2209.00626. https://arxiv.org/abs/2209.00626.\n\n\nNguyen, Ngoc-Bao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, and\nNgai-Man Cheung. 2023. “Re-Thinking Model Inversion Attacks\nAgainst Deep Neural Networks.” In 2023 IEEE/CVF Conference on\nComputer Vision and Pattern Recognition (CVPR), 16384–93. IEEE. https://doi.org/10.1109/cvpr52729.2023.01572.\n\n\nNorrie, Thomas, Nishant Patil, Doe Hyun Yoon, George Kurian, Sheng Li,\nJames Laudon, Cliff Young, Norman Jouppi, and David Patterson. 2021.\n“The Design Process for Google’s Training Chips:\nTpuv2 and TPUv3.” IEEE Micro\n41 (2): 56–63. https://doi.org/10.1109/mm.2021.3058217.\n\n\nNorthcutt, Curtis G, Anish Athalye, and Jonas Mueller. 2021.\n“Pervasive Label Errors in Test Sets Destabilize Machine Learning\nBenchmarks.” arXiv. https://doi.org/https://doi.org/10.48550/arXiv.2103.14749\narXiv-issued DOI via DataCite.\n\n\nObermeyer, Ziad, Brian Powers, Christine Vogeli, and Sendhil\nMullainathan. 2019. “Dissecting Racial Bias in an Algorithm Used\nto Manage the Health of Populations.” Science 366\n(6464): 447–53. https://doi.org/10.1126/science.aax2342.\n\n\nOecd. 2023. “A Blueprint for Building National Compute Capacity\nfor Artificial Intelligence.” 350. Organisation for Economic\nCo-Operation; Development (OECD). https://doi.org/10.1787/876367e3-en.\n\n\nOlah, Chris, Nick Cammarata, Ludwig Schubert, Gabriel Goh, Michael\nPetrov, and Shan Carter. 2020. “Zoom in: An\nIntroduction to Circuits.” Distill 5 (3): e00024–001. https://doi.org/10.23915/distill.00024.001.\n\n\nOliynyk, Daryna, Rudolf Mayer, and Andreas Rauber. 2023. “I Know\nWhat You Trained Last Summer: A Survey on Stealing Machine\nLearning Models and Defences.” ACM Comput. Surv. 55\n(14s): 1–41. https://doi.org/10.1145/3595292.\n\n\nOoko, Samson Otieno, Marvin Muyonga Ogore, Jimmy Nsenga, and Marco\nZennaro. 2021. “TinyML in Africa:\nOpportunities and Challenges.” In 2021 IEEE\nGlobecom Workshops (GC Wkshps), 1–6. IEEE; IEEE. https://doi.org/10.1109/gcwkshps52748.2021.9682107.\n\n\nOprea, Alina, Anoop Singhal, and Apostol Vassilev. 2022.\n“Poisoning Attacks Against Machine Learning: Can\nMachine Learning Be Trustworthy?” Computer 55 (11):\n94–99. https://doi.org/10.1109/mc.2022.3190787.\n\n\nPan, Sinno Jialin, and Qiang Yang. 2010. “A Survey on Transfer\nLearning.” IEEE Trans. Knowl. Data Eng. 22 (10):\n1345–59. https://doi.org/10.1109/tkde.2009.191.\n\n\nPanda, Priyadarshini, Indranil Chakraborty, and Kaushik Roy. 2019.\n“Discretization Based Solutions for Secure Machine Learning\nAgainst Adversarial Attacks.” #IEEE_O_ACC# 7: 70157–68.\nhttps://doi.org/10.1109/access.2019.2919463.\n\n\nPapadimitriou, George, and Dimitris Gizopoulos. 2021.\n“Demystifying the System Vulnerability Stack:\nTransient Fault Effects Across the Layers.” In\n2021 ACM/IEEE 48th Annual International Symposium on Computer\nArchitecture (ISCA), 902–15. IEEE; IEEE. https://doi.org/10.1109/isca52012.2021.00075.\n\n\nPapernot, Nicolas, Patrick McDaniel, Xi Wu, Somesh Jha, and Ananthram\nSwami. 2016. “Distillation as a Defense to Adversarial\nPerturbations Against Deep Neural Networks.” In 2016 IEEE\nSymposium on Security and Privacy (SP), 582–97. IEEE; IEEE. https://doi.org/10.1109/sp.2016.41.\n\n\nParrish, Alicia, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Max\nBartolo, Oana Inel, Juan Ciro, et al. 2023. “Adversarial Nibbler:\nA Data-Centric Challenge for Improving the Safety of\nText-to-Image Models.” ArXiv Preprint abs/2305.14384. https://arxiv.org/abs/2305.14384.\n\n\nPatterson, David A, and John L Hennessy. 2016. Computer Organization\nand Design ARM Edition: The Hardware Software\nInterface. Morgan kaufmann.\n\n\nPatterson, David, Joseph Gonzalez, Urs Holzle, Quoc Le, Chen Liang,\nLluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, and\nJeff Dean. 2022. “The Carbon Footprint of Machine Learning\nTraining Will Plateau, Then Shrink.” Computer 55 (7):\n18–28. https://doi.org/10.1109/mc.2022.3148714.\n\n\nPeters, Dorian, Rafael A. Calvo, and Richard M. Ryan. 2018.\n“Designing for Motivation, Engagement and Wellbeing in Digital\nExperience.” Front. Psychol. 9 (May): 797. https://doi.org/10.3389/fpsyg.2018.00797.\n\n\nPhillips, P Jonathon, Carina A Hahn, Peter C Fontana, David A\nBroniatowski, and Mark A Przybocki. 2020. “Four Principles of\nExplainable Artificial Intelligence.” Gaithersburg,\nMaryland 18.\n\n\nPlank, James S. 1997. “A Tutorial on\nReedSolomon Coding for Fault-Tolerance in\nRAID-Like Systems.” Software: Practice and\nExperience 27 (9): 995–1012.\n\n\nPont, Michael J, and Royan HL Ong. 2002. “Using Watchdog Timers to\nImprove the Reliability of Single-Processor Embedded Systems:\nSeven New Patterns and a Case Study.” In\nProceedings of the First Nordic Conference on Pattern Languages of\nPrograms, 159–200. Citeseer.\n\n\nPrakash, Shvetank, Tim Callahan, Joseph Bushagour, Colby Banbury, Alan\nV. Green, Pete Warden, Tim Ansell, and Vijay Janapa Reddi. 2023.\n“CFU Playground: Full-stack Open-Source Framework for Tiny Machine\nLearning (TinyML) Acceleration on\nFPGAs.” In 2023 IEEE International Symposium on\nPerformance Analysis of Systems and Software (ISPASS). Vol.\nabs/2201.01863. IEEE. https://doi.org/10.1109/ispass57527.2023.00024.\n\n\nPrakash, Shvetank, Matthew Stewart, Colby Banbury, Mark Mazumder, Pete\nWarden, Brian Plancher, and Vijay Janapa Reddi. 2023. “Is\nTinyML Sustainable? Assessing the Environmental Impacts of\nMachine Learning on Microcontrollers.” ArXiv Preprint.\nhttps://arxiv.org/abs/2301.11899.\n\n\nPsoma, Sotiria D., and Chryso Kanthou. 2023. “Wearable Insulin\nBiosensors for Diabetes Management: Advances and\nChallenges.” Biosensors 13 (7): 719. https://doi.org/10.3390/bios13070719.\n\n\nPushkarna, Mahima, Andrew Zaldivar, and Oddur Kjartansson. 2022.\n“Data Cards: Purposeful and Transparent Dataset\nDocumentation for Responsible AI.” In 2022 ACM\nConference on Fairness, Accountability, and Transparency. ACM. https://doi.org/10.1145/3531146.3533231.\n\n\nPutnam, Andrew, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros\nConstantinides, John Demme, Hadi Esmaeilzadeh, et al. 2014. “A\nReconfigurable Fabric for Accelerating Large-Scale Datacenter\nServices.” ACM SIGARCH Computer Architecture News 42\n(3): 13–24. https://doi.org/10.1145/2678373.2665678.\n\n\nQi, Chen, Shibo Shen, Rongpeng Li, Zhifeng Zhao, Qing Liu, Jing Liang,\nand Honggang Zhang. 2021. “An Efficient Pruning Scheme of Deep\nNeural Networks for Internet of Things Applications.” EURASIP\nJournal on Advances in Signal Processing 2021 (1). https://doi.org/10.1186/s13634-021-00744-4.\n\n\nQian, Yu, Xuegong Zhou, Hao Zhou, and Lingli Wang. 2024. “An\nEfficient Reinforcement Learning Based Framework for Exploring Logic\nSynthesis.” ACM Trans. Des. Autom. Electron. Syst. 29\n(2): 1–33. https://doi.org/10.1145/3632174.\n\n\nR. V., Rashmi, and Karthikeyan A. 2018. “Secure Boot of Embedded\nApplications - a Review.” In 2018 Second International\nConference on Electronics, Communication and Aerospace Technology\n(ICECA), 291–98. IEEE. https://doi.org/10.1109/iceca.2018.8474730.\n\n\nRaina, Rajat, Anand Madhavan, and Andrew Y. Ng. 2009. “Large-Scale\nDeep Unsupervised Learning Using Graphics Processors.” In\nProceedings of the 26th Annual International Conference on Machine\nLearning, edited by Andrea Pohoreckyj Danyluk, Léon Bottou, and\nMichael L. Littman, 382:873–80. ACM International Conference Proceeding\nSeries. ACM. https://doi.org/10.1145/1553374.1553486.\n\n\nRamaswamy, Vikram V., Sunnie S. Y. Kim, Ruth Fong, and Olga Russakovsky.\n2023a. “Overlooked Factors in Concept-Based Explanations:\nDataset Choice, Concept Learnability, and Human\nCapability.” In 2023 IEEE/CVF Conference on Computer Vision\nand Pattern Recognition (CVPR), 10932–41. IEEE. https://doi.org/10.1109/cvpr52729.2023.01052.\n\n\nRamaswamy, Vikram V, Sunnie SY Kim, Ruth Fong, and Olga Russakovsky.\n2023b. “UFO: A Unified Method for\nControlling Understandability and Faithfulness Objectives in\nConcept-Based Explanations for CNNs.” ArXiv\nPreprint abs/2303.15632. https://arxiv.org/abs/2303.15632.\n\n\nRamcharan, Amanda, Kelsee Baranowski, Peter McCloskey, Babuali Ahmed,\nJames Legg, and David P. Hughes. 2017. “Deep Learning for\nImage-Based Cassava Disease Detection.” Front. Plant\nSci. 8 (October): 1852. https://doi.org/10.3389/fpls.2017.01852.\n\n\nRamesh, Aditya, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss,\nAlec Radford, Mark Chen, and Ilya Sutskever. 2021. “Zero-Shot\nText-to-Image Generation.” In Proceedings of the 38th\nInternational Conference on Machine Learning, ICML 2021, 18-24 July\n2021, Virtual Event, edited by Marina Meila and Tong Zhang,\n139:8821–31. Proceedings of Machine Learning Research. PMLR. http://proceedings.mlr.press/v139/ramesh21a.html.\n\n\nRanganathan, Parthasarathy. 2011. “From Microprocessors to\nNanostores: Rethinking Data-Centric Systems.”\nComputer 44 (1): 39–48. https://doi.org/10.1109/mc.2011.18.\n\n\nRao, Ravi. 2021. Www.wevolver.com. https://www.wevolver.com/article/tinyml-unlocks-new-possibilities-for-sustainable-development-technologies.\n\n\nRashid, Layali, Karthik Pattabiraman, and Sathish Gopalakrishnan. 2012.\n“Intermittent Hardware Errors Recovery: Modeling and\nEvaluation.” In 2012 Ninth International Conference on\nQuantitative Evaluation of Systems, 220–29. IEEE; IEEE. https://doi.org/10.1109/qest.2012.37.\n\n\n———. 2015. “Characterizing the Impact of Intermittent Hardware\nFaults on Programs.” IEEE Trans. Reliab. 64 (1):\n297–310. https://doi.org/10.1109/tr.2014.2363152.\n\n\nRatner, Alex, Braden Hancock, Jared Dunnmon, Roger Goldman, and\nChristopher Ré. 2018. “Snorkel MeTaL: Weak\nSupervision for Multi-Task Learning.” In Proceedings of the\nSecond Workshop on Data Management for End-to-End Machine Learning.\nACM. https://doi.org/10.1145/3209889.3209898.\n\n\nReagen, Brandon, Udit Gupta, Lillian Pentecost, Paul Whatmough, Sae Kyu\nLee, Niamh Mulholland, David Brooks, and Gu-Yeon Wei. 2018. “Ares:\nA Framework for Quantifying the Resilience of Deep Neural\nNetworks.” In 2018 55th ACM/ESDA/IEEE Design Automation\nConference (DAC), 1–6. IEEE. https://doi.org/10.1109/dac.2018.8465834.\n\n\nReagen, Brandon, Jose Miguel Hernandez-Lobato, Robert Adolf, Michael\nGelbart, Paul Whatmough, Gu-Yeon Wei, and David Brooks. 2017. “A\nCase for Efficient Accelerator Design Space Exploration via\nBayesian Optimization.” In 2017 IEEE/ACM\nInternational Symposium on Low Power Electronics and Design\n(ISLPED), 1–6. IEEE; IEEE. https://doi.org/10.1109/islped.2017.8009208.\n\n\nReddi, Vijay Janapa, Christine Cheng, David Kanter, Peter Mattson,\nGuenther Schmuelling, Carole-Jean Wu, Brian Anderson, et al. 2020.\n“MLPerf Inference Benchmark.” In 2020\nACM/IEEE 47th Annual International Symposium on Computer Architecture\n(ISCA), 446–59. IEEE; IEEE. https://doi.org/10.1109/isca45697.2020.00045.\n\n\nReddi, Vijay Janapa, and Meeta Sharma Gupta. 2013. Resilient\nArchitecture Design for Voltage Variation. Springer International\nPublishing. https://doi.org/10.1007/978-3-031-01739-1.\n\n\nReis, G. A., J. Chang, N. Vachharajani, R. Rangan, and D. I. August.\n2005. “SWIFT: Software Implemented Fault\nTolerance.” In International Symposium on Code Generation and\nOptimization, 243–54. IEEE; IEEE. https://doi.org/10.1109/cgo.2005.34.\n\n\nRibeiro, Marco Tulio, Sameer Singh, and Carlos Guestrin. 2016.\n“” Why Should i Trust You?” Explaining\nthe Predictions of Any Classifier.” In Proceedings of the\n22nd ACM SIGKDD International Conference on Knowledge Discovery and Data\nMining, 1135–44.\n\n\nRobbins, Herbert, and Sutton Monro. 1951. “A Stochastic\nApproximation Method.” The Annals of Mathematical\nStatistics 22 (3): 400–407. https://doi.org/10.1214/aoms/1177729586.\n\n\nRombach, Robin, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and\nBjorn Ommer. 2022. “High-Resolution Image Synthesis with Latent\nDiffusion Models.” In 2022 IEEE/CVF Conference on Computer\nVision and Pattern Recognition (CVPR). IEEE. https://doi.org/10.1109/cvpr52688.2022.01042.\n\n\nRosa, Gustavo H. de, and João P. Papa. 2021. “A Survey on Text\nGeneration Using Generative Adversarial Networks.” Pattern\nRecogn. 119 (November): 108098. https://doi.org/10.1016/j.patcog.2021.108098.\n\n\nRosenblatt, Frank. 1957. The Perceptron, a Perceiving and\nRecognizing Automaton Project Para. Cornell Aeronautical\nLaboratory.\n\n\nRoskies, Adina. 2002. “Neuroethics for the New Millenium.”\nNeuron 35 (1): 21–23. https://doi.org/10.1016/s0896-6273(02)00763-8.\n\n\nRuder, Sebastian. 2016. “An Overview of Gradient Descent\nOptimization Algorithms.” ArXiv Preprint abs/1609.04747.\nhttps://arxiv.org/abs/1609.04747.\n\n\nRudin, Cynthia. 2019. “Stop Explaining Black Box Machine Learning\nModels for High Stakes Decisions and Use Interpretable Models\nInstead.” Nature Machine Intelligence 1 (5): 206–15. https://doi.org/10.1038/s42256-019-0048-x.\n\n\nRumelhart, David E., Geoffrey E. Hinton, and Ronald J. Williams. 1986.\n“Learning Representations by Back-Propagating Errors.”\nNature 323 (6088): 533–36. https://doi.org/10.1038/323533a0.\n\n\nRussakovsky, Olga, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh,\nSean Ma, Zhiheng Huang, et al. 2015. “ImageNet Large\nScale Visual Recognition Challenge.” Int. J. Comput.\nVision 115 (3): 211–52. https://doi.org/10.1007/s11263-015-0816-y.\n\n\nRussell, Stuart. 2021. “Human-Compatible Artificial\nIntelligence.” Human-Like Machine Intelligence, 3–23.\n\n\nRyan, Richard M., and Edward L. Deci. 2000. “Self-Determination\nTheory and the Facilitation of Intrinsic Motivation, Social Development,\nand Well-Being.” Am. Psychol. 55 (1): 68–78. https://doi.org/10.1037/0003-066x.55.1.68.\n\n\nSamajdar, Ananda, Yuhao Zhu, Paul Whatmough, Matthew Mattina, and Tushar\nKrishna. 2018. “Scale-Sim: Systolic Cnn Accelerator\nSimulator.” ArXiv Preprint abs/1811.02883. https://arxiv.org/abs/1811.02883.\n\n\nSambasivan, Nithya, Shivani Kapania, Hannah Highfill, Diana Akrong,\nPraveen Paritosh, and Lora M Aroyo. 2021a.\n““Everyone Wants to Do the Model Work,\nNot the Data Work”: Data Cascades in\nHigh-Stakes AI.” In Proceedings of the 2021 CHI\nConference on Human Factors in Computing Systems, 1–15. ACM. https://doi.org/10.1145/3411764.3445518.\n\n\n———. 2021b. ““Everyone Wants to Do the\nModel Work, Not the Data Work”: Data Cascades\nin High-Stakes AI.” In Proceedings of the 2021\nCHI Conference on Human Factors in Computing Systems. CHI ’21. New\nYork, NY, USA: ACM. https://doi.org/10.1145/3411764.3445518.\n\n\n———. 2021c. ““Everyone Wants to Do the\nModel Work, Not the Data Work”: Data Cascades\nin High-Stakes AI.” In Proceedings of the 2021\nCHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3411764.3445518.\n\n\nSangchoolie, Behrooz, Karthik Pattabiraman, and Johan Karlsson. 2017.\n“One Bit Is (Not) Enough: An Empirical\nStudy of the Impact of Single and Multiple Bit-Flip Errors.” In\n2017 47th Annual IEEE/IFIP International Conference on Dependable\nSystems and Networks (DSN), 97–108. IEEE; IEEE. https://doi.org/10.1109/dsn.2017.30.\n\n\nSchäfer, Mike S. 2023. “The Notorious GPT:\nScience Communication in the Age of Artificial\nIntelligence.” Journal of Science Communication 22 (02):\nY02. https://doi.org/10.22323/2.22020402.\n\n\nSchizas, Nikolaos, Aristeidis Karras, Christos Karras, and Spyros\nSioutas. 2022. “TinyML for Ultra-Low Power\nAI and Large Scale IoT Deployments:\nA Systematic Review.” Future Internet 14\n(12): 363. https://doi.org/10.3390/fi14120363.\n\n\nSchuman, Catherine D., Shruti R. Kulkarni, Maryam Parsa, J. Parker\nMitchell, Prasanna Date, and Bill Kay. 2022. “Opportunities for\nNeuromorphic Computing Algorithms and Applications.” Nature\nComputational Science 2 (1): 10–19. https://doi.org/10.1038/s43588-021-00184-y.\n\n\nSchwartz, Daniel, Jonathan Michael Gomes Selman, Peter Wrege, and\nAndreas Paepcke. 2021. “Deployment of Embedded\nEdge-AI for Wildlife Monitoring in Remote Regions.”\nIn 2021 20th IEEE International Conference on Machine Learning and\nApplications (ICMLA), 1035–42. IEEE; IEEE. https://doi.org/10.1109/icmla52953.2021.00170.\n\n\nSchwartz, Roy, Jesse Dodge, Noah A. Smith, and Oren Etzioni. 2020.\n“Green AI.” Commun. ACM 63 (12):\n54–63. https://doi.org/10.1145/3381831.\n\n\nSegal, Mark, and Kurt Akeley. 1999. “The OpenGL\nGraphics System: A Specification (Version 1.1).”\n\n\nSegura Anaya, L. H., Abeer Alsadoon, N. Costadopoulos, and P. W. C.\nPrasad. 2017. “Ethical Implications of User Perceptions of\nWearable Devices.” Sci. Eng. Ethics 24 (1): 1–28. https://doi.org/10.1007/s11948-017-9872-8.\n\n\nSeide, Frank, and Amit Agarwal. 2016. “Cntk: Microsoft’s\nOpen-Source Deep-Learning Toolkit.” In Proceedings of the\n22nd ACM SIGKDD International Conference on Knowledge Discovery and Data\nMining, 2135–35. ACM. https://doi.org/10.1145/2939672.2945397.\n\n\nSelvaraju, Ramprasaath R., Michael Cogswell, Abhishek Das, Ramakrishna\nVedantam, Devi Parikh, and Dhruv Batra. 2017.\n“Grad-CAM: Visual Explanations from Deep\nNetworks via Gradient-Based Localization.” In 2017 IEEE\nInternational Conference on Computer Vision (ICCV), 618–26. IEEE.\nhttps://doi.org/10.1109/iccv.2017.74.\n\n\nSeong, Nak Hee, Dong Hyuk Woo, Vijayalakshmi Srinivasan, Jude A. Rivers,\nand Hsien-Hsin S. Lee. 2010. “SAFER: Stuck-at-fault Error Recovery for\nMemories.” In 2010 43rd Annual IEEE/ACM International\nSymposium on Microarchitecture, 115–24. IEEE; IEEE. https://doi.org/10.1109/micro.2010.46.\n\n\nSeyedzadeh, Saleh, Farzad Pour Rahimian, Ivan Glesk, and Marc Roper.\n2018. “Machine Learning for Estimation of Building Energy\nConsumption and Performance: A Review.”\nVisualization in Engineering 6 (1): 1–20. https://doi.org/10.1186/s40327-018-0064-7.\n\n\nShalev-Shwartz, Shai, Shaked Shammah, and Amnon Shashua. 2017. “On\na Formal Model of Safe and Scalable Self-Driving Cars.” ArXiv\nPreprint abs/1708.06374. https://arxiv.org/abs/1708.06374.\n\n\nShan, Shawn, Wenxin Ding, Josephine Passananti, Haitao Zheng, and Ben Y\nZhao. 2023. “Prompt-Specific Poisoning Attacks on Text-to-Image\nGenerative Models.” ArXiv Preprint abs/2310.13828. https://arxiv.org/abs/2310.13828.\n\n\nShastri, Bhavin J., Alexander N. Tait, T. Ferreira de Lima, Wolfram H.\nP. Pernice, Harish Bhaskaran, C. D. Wright, and Paul R. Prucnal. 2021.\n“Photonics for Artificial Intelligence and Neuromorphic\nComputing.” Nat. Photonics 15 (2): 102–14. https://doi.org/10.1038/s41566-020-00754-y.\n\n\nSheaffer, Jeremy W, David P Luebke, and Kevin Skadron. 2007. “A\nHardware Redundancy and Recovery Mechanism for Reliable Scientific\nComputation on Graphics Processors.” In Graphics\nHardware, 2007:55–64. Citeseer.\n\n\nShehabi, Arman, Sarah Smith, Dale Sartor, Richard Brown, Magnus Herrlin,\nJonathan Koomey, Eric Masanet, Nathaniel Horner, Inês Azevedo, and\nWilliam Lintner. 2016. “United States Data Center Energy Usage\nReport.”\n\n\nShen, Sheng, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami,\nMichael W. Mahoney, and Kurt Keutzer. 2020. “Q-BERT:\nHessian Based Ultra Low Precision Quantization of\nBERT.” Proceedings of the AAAI Conference on\nArtificial Intelligence 34 (05): 8815–21. https://doi.org/10.1609/aaai.v34i05.6409.\n\n\nSheng, Victor S., and Jing Zhang. 2019. “Machine Learning with\nCrowdsourcing: A Brief Summary of the Past Research and\nFuture Directions.” Proceedings of the AAAI Conference on\nArtificial Intelligence 33 (01): 9837–43. https://doi.org/10.1609/aaai.v33i01.33019837.\n\n\nShi, Hongrui, and Valentin Radu. 2022. “Data Selection for\nEfficient Model Update in Federated Learning.” In Proceedings\nof the 2nd European Workshop on Machine Learning and Systems,\n72–78. ACM. https://doi.org/10.1145/3517207.3526980.\n\n\nShneiderman, Ben. 2020. “Bridging the Gap Between Ethics and\nPractice: Guidelines for Reliable, Safe, and Trustworthy Human-Centered\nAI Systems.” ACM Trans. Interact. Intell. Syst. 10 (4):\n1–31. https://doi.org/10.1145/3419764.\n\n\n———. 2022. Human-Centered AI. Oxford University\nPress.\n\n\nShokri, Reza, Marco Stronati, Congzheng Song, and Vitaly Shmatikov.\n2017. “Membership Inference Attacks Against Machine Learning\nModels.” In 2017 IEEE Symposium on Security and Privacy\n(SP), 3–18. IEEE; IEEE. https://doi.org/10.1109/sp.2017.41.\n\n\nSiddik, Md Abu Bakar, Arman Shehabi, and Landon Marston. 2021.\n“The Environmental Footprint of Data Centers in the United\nStates.” Environ. Res. Lett. 16 (6): 064017. https://doi.org/10.1088/1748-9326/abfba1.\n\n\nSilvestro, Daniele, Stefano Goria, Thomas Sterner, and Alexandre\nAntonelli. 2022. “Improving Biodiversity Protection Through\nArtificial Intelligence.” Nature Sustainability 5 (5):\n415–24. https://doi.org/10.1038/s41893-022-00851-6.\n\n\nSingh, Narendra, and Oladele A. Ogunseitan. 2022. “Disentangling\nthe Worldwide Web of e-Waste and Climate Change Co-Benefits.”\nCircular Economy 1 (2): 100011. https://doi.org/10.1016/j.cec.2022.100011.\n\n\nSkorobogatov, Sergei. 2009. “Local Heating Attacks on Flash Memory\nDevices.” In 2009 IEEE International Workshop on\nHardware-Oriented Security and Trust, 1–6. IEEE; IEEE. https://doi.org/10.1109/hst.2009.5225028.\n\n\nSkorobogatov, Sergei P, and Ross J Anderson. 2003. “Optical Fault\nInduction Attacks.” In Cryptographic Hardware and Embedded\nSystems-CHES 2002: 4th International Workshop Redwood Shores, CA, USA,\nAugust 1315, 2002 Revised Papers 4, 2–12. Springer.\n\n\nSmilkov, Daniel, Nikhil Thorat, Been Kim, Fernanda Viégas, and Martin\nWattenberg. 2017. “Smoothgrad: Removing Noise by\nAdding Noise.” ArXiv Preprint abs/1706.03825. https://arxiv.org/abs/1706.03825.\n\n\nSnoek, Jasper, Hugo Larochelle, and Ryan P. Adams. 2012.\n“Practical Bayesian Optimization of Machine Learning\nAlgorithms.” In Advances in Neural Information Processing\nSystems 25: 26th Annual Conference on Neural Information Processing\nSystems 2012. Proceedings of a Meeting Held December 3-6, 2012, Lake\nTahoe, Nevada, United States, edited by Peter L. Bartlett, Fernando\nC. N. Pereira, Christopher J. C. Burges, Léon Bottou, and Kilian Q.\nWeinberger, 2960–68. https://proceedings.neurips.cc/paper/2012/hash/05311655a15b75fab86956663e1819cd-Abstract.html.\n\n\nSrivastava, Nitish, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever,\nand Ruslan Salakhutdinov. 2014. “Dropout: A Simple\nWay to Prevent Neural Networks from Overfitting.” J. Mach.\nLearn. Res. http://jmlr.org/papers/v15/srivastava14a.html.\n\n\nStm32L4Q5Ag. 2021. STMicroelectronics.\n\n\nStrubell, Emma, Ananya Ganesh, and Andrew McCallum. 2019. “Energy\nand Policy Considerations for Deep Learning in NLP.”\nIn Proceedings of the 57th Annual Meeting of the Association for\nComputational Linguistics, 3645–50. Florence, Italy: Association\nfor Computational Linguistics. https://doi.org/10.18653/v1/p19-1355.\n\n\nSuda, Naveen, Vikas Chandra, Ganesh Dasika, Abinash Mohanty, Yufei Ma,\nSarma Vrudhula, Jae-sun Seo, and Yu Cao. 2016.\n“Throughput-Optimized OpenCL-Based FPGA\nAccelerator for Large-Scale Convolutional Neural Networks.” In\nProceedings of the 2016 ACM/SIGDA International Symposium on\nField-Programmable Gate Arrays, 16–25. ACM. https://doi.org/10.1145/2847263.2847276.\n\n\nSudhakar, Soumya, Vivienne Sze, and Sertac Karaman. 2023. “Data\nCenters on Wheels: Emissions from Computing Onboard\nAutonomous Vehicles.” IEEE Micro 43 (1): 29–39. https://doi.org/10.1109/mm.2022.3219803.\n\n\nSze, Vivienne, Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer. 2017.\n“Efficient Processing of Deep Neural Networks: A\nTutorial and Survey.” Proc. IEEE 105 (12): 2295–2329. https://doi.org/10.1109/jproc.2017.2761740.\n\n\nSzegedy, Christian, Wojciech Zaremba, Ilya Sutskever, Joan Bruna,\nDumitru Erhan, Ian J. Goodfellow, and Rob Fergus. 2014.\n“Intriguing Properties of Neural Networks.” In 2nd\nInternational Conference on Learning Representations, ICLR 2014, Banff,\nAB, Canada, April 14-16, 2014, Conference Track Proceedings, edited\nby Yoshua Bengio and Yann LeCun. http://arxiv.org/abs/1312.6199.\n\n\nTambe, Thierry, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa\nReddi, Alexander Rush, David Brooks, and Gu-Yeon Wei. 2020.\n“Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings\nfor Resilient Deep Learning Inference.” In 2020 57th ACM/IEEE\nDesign Automation Conference (DAC), 1–6. IEEE; IEEE. https://doi.org/10.1109/dac18072.2020.9218516.\n\n\nTan, Mingxing, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler,\nAndrew Howard, and Quoc V. Le. 2019. “MnasNet: Platform-aware Neural Architecture Search for\nMobile.” In 2019 IEEE/CVF Conference on Computer Vision and\nPattern Recognition (CVPR), 2820–28. IEEE. https://doi.org/10.1109/cvpr.2019.00293.\n\n\nTan, Mingxing, and Quoc V. Le. 2023. “Demystifying Deep\nLearning.” Wiley. https://doi.org/10.1002/9781394205639.ch6.\n\n\nTang, Xin, Yichun He, and Jia Liu. 2022. “Soft Bioelectronics for\nCardiac Interfaces.” Biophysics Reviews 3 (1). https://doi.org/10.1063/5.0069516.\n\n\nTang, Xin, Hao Shen, Siyuan Zhao, Na Li, and Jia Liu. 2023.\n“Flexible Braincomputer Interfaces.”\nNature Electronics 6 (2): 109–18. https://doi.org/10.1038/s41928-022-00913-9.\n\n\nTarun, Ayush K, Vikram S Chundawat, Murari Mandal, and Mohan\nKankanhalli. 2022. “Deep Regression Unlearning.” ArXiv\nPreprint abs/2210.08196. https://arxiv.org/abs/2210.08196.\n\n\nTeam, The Theano Development, Rami Al-Rfou, Guillaume Alain, Amjad\nAlmahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, et\nal. 2016. “Theano: A Python Framework for Fast\nComputation of Mathematical Expressions.” https://arxiv.org/abs/1605.02688.\n\n\n“The Ultimate Guide to Deep Learning Model Quantization and\nQuantization-Aware Training.” n.d. https://deci.ai/quantization-and-quantization-aware-training/.\n\n\nThompson, Neil C., Kristjan Greenewald, Keeheon Lee, and Gabriel F.\nManso. 2021. “Deep Learning’s Diminishing Returns:\nThe Cost of Improvement Is Becoming Unsustainable.”\nIEEE Spectr. 58 (10): 50–55. https://doi.org/10.1109/mspec.2021.9563954.\n\n\nTill, Aaron, Andrew L. Rypel, Andrew Bray, and Samuel B. Fey. 2019.\n“Fish Die-Offs Are Concurrent with Thermal Extremes in North\nTemperate Lakes.” Nat. Clim. Change 9 (8): 637–41. https://doi.org/10.1038/s41558-019-0520-y.\n\n\nTirtalistyani, Rose, Murtiningrum Murtiningrum, and Rameshwar S. Kanwar.\n2022. “Indonesia Rice Irrigation System:\nTime for Innovation.” Sustainability 14\n(19): 12477. https://doi.org/10.3390/su141912477.\n\n\nTokui, Seiya, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa,\nShunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, and Hiroyuki\nYamazaki Vincent. 2019. “Chainer: A Deep Learning Framework for\nAccelerating the Research Cycle.” In Proceedings of the 25th\nACM SIGKDD International Conference on Knowledge Discovery &Amp;\nData Mining, 5:1–6. ACM. https://doi.org/10.1145/3292500.3330756.\n\n\nTramèr, Florian, Pascal Dupré, Gili Rusak, Giancarlo Pellegrino, and Dan\nBoneh. 2019. “AdVersarial: Perceptual Ad Blocking\nMeets Adversarial Machine Learning.” In Proceedings of the\n2019 ACM SIGSAC Conference on Computer and Communications Security,\n2005–21. ACM. https://doi.org/10.1145/3319535.3354222.\n\n\nTsai, Min-Jen, Ping-Yi Lin, and Ming-En Lee. 2023. “Adversarial\nAttacks on Medical Image Classification.” Cancers 15\n(17): 4228. https://doi.org/10.3390/cancers15174228.\n\n\nTsai, Timothy, Siva Kumar Sastry Hari, Michael Sullivan, Oreste Villa,\nand Stephen W. Keckler. 2021. “NVBitFI:\nDynamic Fault Injection for GPUs.” In\n2021 51st Annual IEEE/IFIP International Conference on Dependable\nSystems and Networks (DSN), 284–91. IEEE; IEEE. https://doi.org/10.1109/dsn48987.2021.00041.\n\n\nUddin, Mueen, and Azizah Abdul Rahman. 2012. “Energy Efficiency\nand Low Carbon Enabler Green IT Framework for Data Centers\nConsidering Green Metrics.” Renewable Sustainable Energy\nRev. 16 (6): 4078–94. https://doi.org/10.1016/j.rser.2012.03.014.\n\n\nUn, and World Economic Forum. 2019. A New Circular Vision for\nElectronics, Time for a Global Reboot. PACE - Platform for\nAccelerating the Circular Economy. https://www3.weforum.org/docs/WEF\\_A\\_New\\_Circular\\_Vision\\_for\\_Electronics.pdf.\n\n\nValenzuela, Christine L, and Pearl Y Wang. 2000. “A Genetic\nAlgorithm for VLSI Floorplanning.” In Parallel\nProblem Solving from Nature PPSN VI: 6th International Conference Paris,\nFrance, September 1820, 2000 Proceedings 6, 671–80.\nSpringer.\n\n\nVan Noorden, Richard. 2016. “ArXiv Preprint Server\nPlans Multimillion-Dollar Overhaul.” Nature 534 (7609):\n602–2. https://doi.org/10.1038/534602a.\n\n\nVangal, Sriram, Somnath Paul, Steven Hsu, Amit Agarwal, Saurabh Kumar,\nRam Krishnamurthy, Harish Krishnamurthy, James Tschanz, Vivek De, and\nChris H. Kim. 2021. “Wide-Range Many-Core SoC Design\nin Scaled CMOS: Challenges and\nOpportunities.” IEEE Trans. Very Large Scale Integr. VLSI\nSyst. 29 (5): 843–56. https://doi.org/10.1109/tvlsi.2021.3061649.\n\n\nVaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion\nJones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017.\n“Attention Is All You Need.” Advances in Neural\nInformation Processing Systems 30.\n\n\n“Vector-Borne Diseases.” n.d.\nhttps://www.who.int/news-room/fact-sheets/detail/vector-borne-diseases.\n\n\nVelazco, Raoul, Gilles Foucard, and Paul Peronnard. 2010.\n“Combining Results of Accelerated Radiation Tests and Fault\nInjections to Predict the Error Rate of an Application Implemented in\nSRAM-Based FPGAs.” IEEE Trans.\nNucl. Sci. 57 (6): 3500–3505. https://doi.org/10.1109/tns.2010.2087355.\n\n\nVerma, Naveen, Hongyang Jia, Hossein Valavi, Yinqi Tang, Murat Ozatay,\nLung-Yen Chen, Bonan Zhang, and Peter Deaville. 2019. “In-Memory\nComputing: Advances and Prospects.” IEEE\nSolid-State Circuits Mag. 11 (3): 43–55. https://doi.org/10.1109/mssc.2019.2922889.\n\n\nVerma, Team Dual_Boot: Swapnil. 2022. “Elephant\nAI.” Hackster.io. https://www.hackster.io/dual\\_boot/elephant-ai-ba71e9.\n\n\nVinuesa, Ricardo, Hossein Azizpour, Iolanda Leite, Madeline Balaam,\nVirginia Dignum, Sami Domisch, Anna Felländer, Simone Daniela Langhans,\nMax Tegmark, and Francesco Fuso Nerini. 2020. “The Role of\nArtificial Intelligence in Achieving the Sustainable Development\nGoals.” Nat. Commun. 11 (1): 1–10. https://doi.org/10.1038/s41467-019-14108-y.\n\n\nVivet, Pascal, Eric Guthmuller, Yvain Thonnart, Gael Pillonnet, Cesar\nFuguet, Ivan Miro-Panades, Guillaume Moritz, et al. 2021.\n“IntAct: A 96-Core Processor with Six\nChiplets 3D-Stacked on an Active Interposer with\nDistributed Interconnects and Integrated Power Management.”\nIEEE J. Solid-State Circuits 56 (1): 79–97. https://doi.org/10.1109/jssc.2020.3036341.\n\n\nWachter, Sandra, Brent Mittelstadt, and Chris Russell. 2017.\n“Counterfactual Explanations Without Opening the Black Box:\nAutomated Decisions and the GDPR.”\nSSRN Electronic Journal 31: 841. https://doi.org/10.2139/ssrn.3063289.\n\n\nWald, Peter H., and Jeffrey R. Jones. 1987. “Semiconductor\nManufacturing: An Introduction to Processes and\nHazards.” Am. J. Ind. Med. 11 (2): 203–21. https://doi.org/10.1002/ajim.4700110209.\n\n\nWan, Zishen, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi,\nand Arijit Raychowdhury. 2021. “Analyzing and Improving Fault\nTolerance of Learning-Based Navigation Systems.” In 2021 58th\nACM/IEEE Design Automation Conference (DAC), 841–46. IEEE; IEEE. https://doi.org/10.1109/dac18074.2021.9586116.\n\n\nWan, Zishen, Yiming Gan, Bo Yu, S Liu, A Raychowdhury, and Y Zhu. 2023.\n“Vpp: The Vulnerability-Proportional Protection\nParadigm Towards Reliable Autonomous Machines.” In\nProceedings of the 5th International Workshop on Domain Specific\nSystem Architecture (DOSSA), 1–6.\n\n\nWang, LingFeng, and YaQing Zhan. 2019a. “A Conceptual Peer Review\nModel for arXiv and Other Preprint\nDatabases.” Learn. Publ. 32 (3): 213–19. https://doi.org/10.1002/leap.1229.\n\n\n———. 2019b. “A Conceptual Peer Review Model for arXiv and Other Preprint Databases.”\nLearn. Publ. 32 (3): 213–19. https://doi.org/10.1002/leap.1229.\n\n\nWang, Tianzhe, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang,\nYujun Lin, and Song Han. 2020. “APQ:\nJoint Search for Network Architecture, Pruning and\nQuantization Policy.” In 2020 IEEE/CVF Conference on Computer\nVision and Pattern Recognition (CVPR), 2075–84. IEEE. https://doi.org/10.1109/cvpr42600.2020.00215.\n\n\nWarden, Pete. 2018. “Speech Commands: A Dataset for\nLimited-Vocabulary Speech Recognition.” arXiv Preprint\narXiv:1804.03209.\n\n\nWarden, Pete, and Daniel Situnayake. 2019. Tinyml:\nMachine Learning with Tensorflow Lite on Arduino and\nUltra-Low-Power Microcontrollers. O’Reilly Media.\n\n\nWeik, Martin H. 1955. A Survey of Domestic Electronic Digital\nComputing Systems. Ballistic Research Laboratories.\n\n\nWeiser, Mark. 1991. “The Computer for the 21st Century.”\nSci. Am. 265 (3): 94–104. https://doi.org/10.1038/scientificamerican0991-94.\n\n\nWess, Matthias, Matvey Ivanov, Christoph Unger, and Anvesh Nookala.\n2020. “ANNETTE: Accurate Neural Network Execution Time Estimation\nwith Stacked Models.” IEEE. https://doi.org/10.1109/ACCESS.2020.3047259.\n\n\nWiener, Norbert. 1960. “Some Moral and Technical Consequences of\nAutomation: As Machines Learn They May Develop Unforeseen Strategies at\nRates That Baffle Their Programmers.” Science 131\n(3410): 1355–58. https://doi.org/10.1126/science.131.3410.1355.\n\n\nWilkening, Mark, Vilas Sridharan, Si Li, Fritz Previlon, Sudhanva\nGurumurthi, and David R. Kaeli. 2014. “Calculating Architectural\nVulnerability Factors for Spatial Multi-Bit Transient Faults.” In\n2014 47th Annual IEEE/ACM International Symposium on\nMicroarchitecture, 293–305. IEEE; IEEE. https://doi.org/10.1109/micro.2014.15.\n\n\nWinkler, Harald, Franck Lecocq, Hans Lofgren, Maria Virginia Vilariño,\nSivan Kartha, and Joana Portugal-Pereira. 2022. “Examples of\nShifting Development Pathways: Lessons on How to Enable\nBroader, Deeper, and Faster Climate Action.” Climate\nAction 1 (1). https://doi.org/10.1007/s44168-022-00026-1.\n\n\nWong, H.-S. Philip, Heng-Yuan Lee, Shimeng Yu, Yu-Sheng Chen, Yi Wu,\nPang-Shiu Chen, Byoungil Lee, Frederick T. Chen, and Ming-Jinn Tsai.\n2012. “MetalOxide\nRRAM.” Proc. IEEE 100 (6): 1951–70. https://doi.org/10.1109/jproc.2012.2190369.\n\n\nWu, Bichen, Kurt Keutzer, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang,\nFei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, and Yangqing Jia. 2019.\n“FBNet: Hardware-aware\nEfficient ConvNet Design via Differentiable Neural\nArchitecture Search.” In 2019 IEEE/CVF Conference on Computer\nVision and Pattern Recognition (CVPR), 10734–42. IEEE. https://doi.org/10.1109/cvpr.2019.01099.\n\n\nWu, Carole-Jean, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha\nArdalani, Kiwan Maeng, Gloria Chang, et al. 2022. “Sustainable Ai:\nEnvironmental Implications, Challenges and\nOpportunities.” Proceedings of Machine Learning and\nSystems 4: 795–813.\n\n\nWu, Zhang Judd, and Micikevicius Isaev. 2020. “Integer\nQuantization for Deep Learning Inference: Principles and\nEmpirical Evaluation).” ArXiv Preprint. https://arxiv.org/abs/2004.09602.\n\n\nXiao, Seznec Lin, Demouth Wu, and Han. 2022.\n“SmoothQuant: Accurate and Efficient\nPost-Training Quantization for Large Language Models.” ArXiv\nPreprint. https://arxiv.org/abs/2211.10438.\n\n\nXie, Cihang, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, and\nQuoc V. Le. 2020. “Adversarial Examples Improve Image\nRecognition.” In 2020 IEEE/CVF Conference on Computer Vision\nand Pattern Recognition (CVPR), 816–25. IEEE. https://doi.org/10.1109/cvpr42600.2020.00090.\n\n\nXie, Saining, Ross Girshick, Piotr Dollar, Zhuowen Tu, and Kaiming He.\n2017. “Aggregated Residual Transformations for Deep Neural\nNetworks.” In 2017 IEEE Conference on Computer Vision and\nPattern Recognition (CVPR), 1492–1500. IEEE. https://doi.org/10.1109/cvpr.2017.634.\n\n\nXinyu, Chen. n.d.\n\n\nXiong, Siyu, Guoqing Wu, Xitian Fan, Xuan Feng, Zhongcheng Huang, Wei\nCao, Xuegong Zhou, et al. 2021. “MRI-Based Brain\nTumor Segmentation Using FPGA-Accelerated Neural\nNetwork.” BMC Bioinf. 22 (1): 421. https://doi.org/10.1186/s12859-021-04347-6.\n\n\nXiu, Liming. 2019. “Time Moore: Exploiting Moore’s Law from the Perspective of Time.”\nIEEE Solid-State Circuits Mag. 11 (1): 39–55. https://doi.org/10.1109/mssc.2018.2882285.\n\n\nXu, Chen, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong\nWang, and Hongbin Zha. 2018. “Alternating Multi-Bit Quantization\nfor Recurrent Neural Networks.” In 6th International\nConference on Learning Representations, ICLR 2018, Vancouver, BC,\nCanada, April 30 - May 3, 2018, Conference Track Proceedings.\nOpenReview.net. https://openreview.net/forum?id=S19dR9x0b.\n\n\nXu, Hu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes,\nVasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, and Christoph\nFeichtenhofer. 2023. “Demystifying CLIP Data.”\nArXiv Preprint abs/2309.16671. https://arxiv.org/abs/2309.16671.\n\n\nXu, Ying, Xu Zhong, Antonio Jimeno Yepes, and Jey Han Lau. 2021.\n“Grey-Box Adversarial Attack and Defence for\nSentiment Classification.” arXiv Preprint\narXiv:2103.11576.\n\n\nXu, Zheng, Yanxiang Zhang, Galen Andrew, Christopher A Choquette-Choo,\nPeter Kairouz, H Brendan McMahan, Jesse Rosenstock, and Yuanbo Zhang.\n2023. “Federated Learning of Gboard Language Models with\nDifferential Privacy.” ArXiv Preprint abs/2305.18465. https://arxiv.org/abs/2305.18465.\n\n\nYang, Tien-Ju, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv\nMathews, and Mingqing Chen. 2023. “Online Model Compression for\nFederated Learning with Large Models.” In ICASSP 2023 - 2023\nIEEE International Conference on Acoustics, Speech and Signal Processing\n(ICASSP), 1–5. IEEE; IEEE. https://doi.org/10.1109/icassp49357.2023.10097124.\n\n\nYao, Zhewei, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric\nTan, Leyuan Wang, et al. 2021. “Hawq-V3: Dyadic Neural Network\nQuantization.” In International Conference on Machine\nLearning, 11875–86. PMLR.\n\n\nYe, Linfeng, and Shayan Mohajer Hamidi. 2021. “Thundernna:\nA White Box Adversarial Attack.” arXiv Preprint\narXiv:2111.12305.\n\n\nYeh, Y. C. 1996. “Triple-Triple Redundant 777 Primary Flight\nComputer.” In 1996 IEEE Aerospace Applications Conference.\nProceedings, 1:293–307. IEEE; IEEE. https://doi.org/10.1109/aero.1996.495891.\n\n\nYik, Jason, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas\nG. Andreou, Chiara Bartolozzi, Arindam Basu, et al. 2023.\n“NeuroBench: Advancing Neuromorphic\nComputing Through Collaborative, Fair and Representative\nBenchmarking.” https://arxiv.org/abs/2304.04640.\n\n\nYou, Jie, Jae-Won Chung, and Mosharaf Chowdhury. 2023. “Zeus:\nUnderstanding and Optimizing GPU Energy\nConsumption of DNN Training.” In 20th USENIX\nSymposium on Networked Systems Design and Implementation (NSDI 23),\n119–39. Boston, MA: USENIX Association. https://www.usenix.org/conference/nsdi23/presentation/you.\n\n\nYou, Yang, Zhao Zhang, Cho-Jui Hsieh, James Demmel, and Kurt Keutzer.\n2018. “ImageNet Training in Minutes.” https://arxiv.org/abs/1709.05011.\n\n\nYoung, Tom, Devamanyu Hazarika, Soujanya Poria, and Erik Cambria. 2018.\n“Recent Trends in Deep Learning Based Natural Language Processing\n[Review Article].” IEEE Comput. Intell.\nMag. 13 (3): 55–75. https://doi.org/10.1109/mci.2018.2840738.\n\n\nYu, Yuan, Martı́n Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy\nDavis, Jeff Dean, et al. 2018. “Dynamic Control Flow in\nLarge-Scale Machine Learning.” In Proceedings of the\nThirteenth EuroSys Conference, 265–83. ACM. https://doi.org/10.1145/3190508.3190551.\n\n\nZafrir, Ofir, Guy Boudoukh, Peter Izsak, and Moshe Wasserblat. 2019.\n“Q8BERT: Quantized 8Bit\nBERT.” In 2019 Fifth Workshop on Energy\nEfficient Machine Learning and Cognitive Computing - NeurIPS Edition\n(EMC2-NIPS), 36–39. IEEE; IEEE. https://doi.org/10.1109/emc2-nips53020.2019.00016.\n\n\nZeiler, Matthew D. 2012. “Reinforcement and Systemic Machine\nLearning for Decision Making.” Wiley. https://doi.org/10.1002/9781118266502.ch6.\n\n\nZennaro, Marco, Brian Plancher, and V Janapa Reddi. 2022.\n“TinyML: Applied AI for\nDevelopment.” In The UN 7th Multi-Stakeholder Forum on\nScience, Technology and Innovation for the Sustainable Development\nGoals, 2022–05.\n\n\nZhang, Chen, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, and Jason\nOptimizing Cong. 2015. “FPGA-Based Accelerator Design\nfor Deep Convolutional Neural Networks Proceedings of the 2015\nACM.” In SIGDA International Symposium on\nField-Programmable Gate Arrays-FPGA, 15:161–70.\n\n\nZhang, Dan, Safeen Huda, Ebrahim Songhori, Kartik Prabhu, Quoc Le, Anna\nGoldie, and Azalia Mirhoseini. 2022. “A Full-Stack Search\nTechnique for Domain Optimized Deep Learning Accelerators.” In\nProceedings of the 27th ACM International Conference on\nArchitectural Support for Programming Languages and Operating\nSystems, 27–42. ASPLOS ’22. New York, NY, USA: ACM. https://doi.org/10.1145/3503222.3507767.\n\n\nZhang, Dongxia, Xiaoqing Han, and Chunyu Deng. 2018. “Review on\nthe Research and Practice of Deep Learning and Reinforcement Learning in\nSmart Grids.” CSEE Journal of Power and Energy Systems 4\n(3): 362–70. https://doi.org/10.17775/cseejpes.2018.00520.\n\n\nZhang, Hongyu. 2008. “On the Distribution of Software\nFaults.” IEEE Trans. Software Eng. 34 (2): 301–2. https://doi.org/10.1109/tse.2007.70771.\n\n\nZhang, Jeff Jun, Tianyu Gu, Kanad Basu, and Siddharth Garg. 2018.\n“Analyzing and Mitigating the Impact of Permanent Faults on a\nSystolic Array Based Neural Network Accelerator.” In 2018\nIEEE 36th VLSI Test Symposium (VTS), 1–6. IEEE; IEEE. https://doi.org/10.1109/vts.2018.8368656.\n\n\nZhang, Jeff, Kartheek Rangineni, Zahra Ghodsi, and Siddharth Garg. 2018.\n“ThUnderVolt: Enabling Aggressive\nVoltage Underscaling and Timing Error Resilience for Energy Efficient\nDeep Learning Accelerators.” In 2018 55th ACM/ESDA/IEEE\nDesign Automation Conference (DAC), 1–6. IEEE. https://doi.org/10.1109/dac.2018.8465918.\n\n\nZhang, Li Lyna, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, and Yunxin Liu.\n2020. “Fast Hardware-Aware Neural Architecture Search.” In\n2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition\nWorkshops (CVPRW). IEEE. https://doi.org/10.1109/cvprw50498.2020.00354.\n\n\nZhang, Qingxue, Dian Zhou, and Xuan Zeng. 2017. “Highly Wearable\nCuff-Less Blood Pressure and Heart Rate Monitoring with Single-Arm\nElectrocardiogram and Photoplethysmogram Signals.” BioMedical\nEngineering OnLine 16 (1): 23. https://doi.org/10.1186/s12938-017-0317-z.\n\n\nZhang, Tunhou, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai\nHelen Li, and Yiran Chen. 2020. “AutoShrink:\nA Topology-Aware NAS for Discovering Efficient\nNeural Architecture.” In The Thirty-Fourth AAAI Conference on\nArtificial Intelligence, AAAI 2020, the Thirty-Second Innovative\nApplications of Artificial Intelligence Conference, IAAI 2020, the Tenth\nAAAI Symposium on Educational Advances in Artificial Intelligence, EAAI\n2020, New York, NY, USA, February 7-12, 2020, 6829–36. AAAI Press.\nhttps://aaai.org/ojs/index.php/AAAI/article/view/6163.\n\n\nZhao, Mark, and G. Edward Suh. 2018. “FPGA-Based\nRemote Power Side-Channel Attacks.” In 2018 IEEE Symposium on\nSecurity and Privacy (SP), 229–44. IEEE; IEEE. https://doi.org/10.1109/sp.2018.00049.\n\n\nZhao, Yue, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, and Vikas\nChandra. 2018. “Federated Learning with Non-Iid Data.”\nArXiv Preprint abs/1806.00582. https://arxiv.org/abs/1806.00582.\n\n\nZhou, Bolei, Yiyou Sun, David Bau, and Antonio Torralba. 2018.\n“Interpretable Basis Decomposition for Visual Explanation.”\nIn Proceedings of the European Conference on Computer Vision\n(ECCV), 119–34.\n\n\nZhou, Chuteng, Fernando Garcia Redondo, Julian Büchel, Irem Boybat,\nXavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian,\nManuel Le Gallo, and Paul N. Whatmough. 2021.\n“AnalogNets: Ml-hw\nCo-Design of Noise-Robust TinyML Models and Always-on\nAnalog Compute-in-Memory Accelerator.” https://arxiv.org/abs/2111.06503.\n\n\nZhou, Guanglei, and Jason H. Anderson. 2023. “Area-Driven\nFPGA Logic Synthesis Using Reinforcement Learning.”\nIn Proceedings of the 28th Asia and South Pacific Design Automation\nConference, 159–65. ACM. https://doi.org/10.1145/3566097.3567894.\n\n\nZhou, Peng, Xintong Han, Vlad I. Morariu, and Larry S. Davis. 2018.\n“Learning Rich Features for Image Manipulation Detection.”\nIn 2018 IEEE/CVF Conference on Computer Vision and Pattern\nRecognition, 1053–61. IEEE. https://doi.org/10.1109/cvpr.2018.00116.\n\n\nZhu, Hongyu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand\nJayarajan, Amar Phanishayee, Bianca Schroeder, and Gennady Pekhimenko.\n2018. “Benchmarking and Analyzing Deep Neural Network\nTraining.” In 2018 IEEE International Symposium on Workload\nCharacterization (IISWC), 88–100. IEEE; IEEE. https://doi.org/10.1109/iiswc.2018.8573476.\n\n\nZhu, Ligeng, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang\nGan, and Song Han. 2023. “PockEngine:\nSparse and Efficient Fine-Tuning in a Pocket.” In\n56th Annual IEEE/ACM International Symposium on\nMicroarchitecture. ACM. https://doi.org/10.1145/3613424.3614307.\n\n\nZhuang, Fuzhen, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu\nZhu, Hui Xiong, and Qing He. 2021. “A Comprehensive Survey on\nTransfer Learning.” Proc. IEEE 109 (1): 43–76. https://doi.org/10.1109/jproc.2020.3004555.\n\n\nZoph, Barret, and Quoc V. Le. 2023. “Cybernetical\nIntelligence.” Wiley. https://doi.org/10.1002/9781394217519.ch17.", "crumbs": [ "REFERENCES", "References" diff --git a/docs/site_libs/bootstrap/bootstrap-dark.min.css b/docs/site_libs/bootstrap/bootstrap-dark.min.css index b6cfc1b9..858c2650 100644 --- a/docs/site_libs/bootstrap/bootstrap-dark.min.css +++ b/docs/site_libs/bootstrap/bootstrap-dark.min.css @@ -2,7 +2,7 @@ * Bootstrap v5.3.1 (https://getbootstrap.com/) * Copyright 2011-2023 The Bootstrap Authors * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE) - */:root,[data-bs-theme=light]{--bs-blue: #375a7f;--bs-indigo: #6610f2;--bs-purple: #6f42c1;--bs-pink: #e83e8c;--bs-red: #e74c3c;--bs-orange: #fd7e14;--bs-yellow: #f39c12;--bs-green: #00bc8c;--bs-teal: #20c997;--bs-cyan: #3498db;--bs-black: #000;--bs-white: #fff;--bs-gray: #6c757d;--bs-gray-dark: #343a40;--bs-gray-100: #f8f9fa;--bs-gray-200: #ebebeb;--bs-gray-300: #dee2e6;--bs-gray-400: #ced4da;--bs-gray-500: 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#fff;--bs-navbar-nav-link-padding-x: 0.5rem;--bs-navbar-toggler-padding-y: 0.25;--bs-navbar-toggler-padding-x: 0;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='%23dee2e6' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(222, 226, 230, 0);--bs-navbar-toggler-border-radius: 0.25rem;--bs-navbar-toggler-focus-width: 0.25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23767676'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23767676'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0.75rem;--bs-breadcrumb-padding-y: 0.375rem;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: #434343;--bs-breadcrumb-border-radius: 0.25rem;--bs-breadcrumb-divider-color: rgba(255, 255, 255, 0.75);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: rgba(255, 255, 255, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: #fff;--bs-pagination-bg: #E09F9C;--bs-pagination-border-width: 0;--bs-pagination-border-color: transparent;--bs-pagination-border-radius: 0.25rem;--bs-pagination-hover-color: #fff;--bs-pagination-hover-bg: #ecc5c3;--bs-pagination-hover-border-color: transparent;--bs-pagination-focus-color: #b37f7d;--bs-pagination-focus-bg: #ebebeb;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(27, 27, 27, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #ecc5c3;--bs-pagination-active-border-color: transparent;--bs-pagination-disabled-color: #fff;--bs-pagination-disabled-bg: #ce6762;--bs-pagination-disabled-border-color: transparent;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(0*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: 0.5rem}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: 0.2em}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: 0.25rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.25rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: #434343;--bs-progress-border-radius: 0.25rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: rgb(27, 27, 27);--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #fff;--bs-list-group-bg: #2d2d2d;--bs-list-group-border-color: #434343;--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.25rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(255, 255, 255, 0.75);--bs-list-group-action-hover-color: #fff;--bs-list-group-action-hover-bg: #434343;--bs-list-group-action-active-color: #fff;--bs-list-group-action-active-bg: #222;--bs-list-group-disabled-color: rgba(255, 255, 255, 0.75);--bs-list-group-disabled-bg: #2d2d2d;--bs-list-group-active-color: #fff;--bs-list-group-active-bg: rgb(27, 27, 27);--bs-list-group-active-border-color: rgb(27, 27, 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";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid 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576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #fff;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.4;--bs-btn-close-hover-opacity: 1;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(27, 27, 27, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.25rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: 0.75rem;--bs-toast-padding-y: 0.5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg: #434343;--bs-toast-border-width: 1px;--bs-toast-border-color: rgba(0, 0, 0, 0.175);--bs-toast-border-radius: 0.25rem;--bs-toast-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-toast-header-color: rgba(255, 255, 255, 0.75);--bs-toast-header-bg: #2d2d2d;--bs-toast-header-border-color: rgba(0, 0, 0, 0.175);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-0.5*var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: 0.5rem;--bs-modal-color: ;--bs-modal-bg: #2d2d2d;--bs-modal-border-color: #434343;--bs-modal-border-width: 1px;--bs-modal-border-radius: 0.5rem;--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);--bs-modal-inner-border-radius: calc(0.5rem - 1px);--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: #434343;--bs-modal-header-border-width: 1px;--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: #434343;--bs-modal-footer-border-width: 1px;position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform .3s ease-out;transform:translate(0, -50px)}@media(prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin)*2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin)*2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: 0.5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y)*.5) calc(var(--bs-modal-header-padding-x)*.5);margin:calc(-0.5*var(--bs-modal-header-padding-y)) calc(-0.5*var(--bs-modal-header-padding-x)) calc(-0.5*var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap)*.5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap)*.5)}@media(min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media(min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media(min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media(max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media(max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down 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.modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: 0.5rem;--bs-tooltip-padding-y: 0.25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:0.875rem;--bs-tooltip-color: #222;--bs-tooltip-bg: #000;--bs-tooltip-border-radius: 0.25rem;--bs-tooltip-opacity: 0.9;--bs-tooltip-arrow-width: 0.8rem;--bs-tooltip-arrow-height: 0.4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:Nunito;font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:rgba(0,0,0,0);border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow{bottom:calc(-1*var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) 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#fff;--bs-navbar-nav-link-padding-x: 0.5rem;--bs-navbar-toggler-padding-y: 0.25;--bs-navbar-toggler-padding-x: 0;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='%23dee2e6' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(222, 226, 230, 0);--bs-navbar-toggler-border-radius: 0.25rem;--bs-navbar-toggler-focus-width: 0.25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23767676'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23767676'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0.75rem;--bs-breadcrumb-padding-y: 0.375rem;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: #434343;--bs-breadcrumb-border-radius: 0.25rem;--bs-breadcrumb-divider-color: rgba(255, 255, 255, 0.75);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: rgba(255, 255, 255, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: #fff;--bs-pagination-bg: #E09F9C;--bs-pagination-border-width: 0;--bs-pagination-border-color: transparent;--bs-pagination-border-radius: 0.25rem;--bs-pagination-hover-color: #fff;--bs-pagination-hover-bg: #ecc5c3;--bs-pagination-hover-border-color: transparent;--bs-pagination-focus-color: #b37f7d;--bs-pagination-focus-bg: #ebebeb;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(27, 27, 27, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #ecc5c3;--bs-pagination-active-border-color: transparent;--bs-pagination-disabled-color: #fff;--bs-pagination-disabled-bg: #ce6762;--bs-pagination-disabled-border-color: transparent;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(0*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: 0.5rem}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: 0.2em}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: 0.25rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.25rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: #434343;--bs-progress-border-radius: 0.25rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: rgb(27, 27, 27);--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #fff;--bs-list-group-bg: #2d2d2d;--bs-list-group-border-color: #434343;--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.25rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(255, 255, 255, 0.75);--bs-list-group-action-hover-color: #fff;--bs-list-group-action-hover-bg: #434343;--bs-list-group-action-active-color: #fff;--bs-list-group-action-active-bg: #222;--bs-list-group-disabled-color: rgba(255, 255, 255, 0.75);--bs-list-group-disabled-bg: #2d2d2d;--bs-list-group-active-color: #fff;--bs-list-group-active-bg: rgb(27, 27, 27);--bs-list-group-active-border-color: rgb(27, 27, 27);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #fff;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23fff'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.4;--bs-btn-close-hover-opacity: 1;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(27, 27, 27, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.25rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: 0.75rem;--bs-toast-padding-y: 0.5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg: #434343;--bs-toast-border-width: 1px;--bs-toast-border-color: rgba(0, 0, 0, 0.175);--bs-toast-border-radius: 0.25rem;--bs-toast-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-toast-header-color: rgba(255, 255, 255, 0.75);--bs-toast-header-bg: #2d2d2d;--bs-toast-header-border-color: rgba(0, 0, 0, 0.175);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-0.5*var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: 0.5rem;--bs-modal-color: ;--bs-modal-bg: #2d2d2d;--bs-modal-border-color: #434343;--bs-modal-border-width: 1px;--bs-modal-border-radius: 0.5rem;--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);--bs-modal-inner-border-radius: calc(0.5rem - 1px);--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: #434343;--bs-modal-header-border-width: 1px;--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: #434343;--bs-modal-footer-border-width: 1px;position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform .3s ease-out;transform:translate(0, -50px)}@media(prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin)*2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin)*2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: 0.5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y)*.5) calc(var(--bs-modal-header-padding-x)*.5);margin:calc(-0.5*var(--bs-modal-header-padding-y)) calc(-0.5*var(--bs-modal-header-padding-x)) calc(-0.5*var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap)*.5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap)*.5)}@media(min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media(min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media(min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media(max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media(max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media(max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media(max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media(max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: 0.5rem;--bs-tooltip-padding-y: 0.25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:0.875rem;--bs-tooltip-color: #222;--bs-tooltip-bg: #000;--bs-tooltip-border-radius: 0.25rem;--bs-tooltip-opacity: 0.9;--bs-tooltip-arrow-width: 0.8rem;--bs-tooltip-arrow-height: 0.4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:Nunito;font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:rgba(0,0,0,0);border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow{bottom:calc(-1*var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width)*.5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow{left:calc(-1*var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width)*.5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width)*.5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=bottom] .tooltip-arrow{top:calc(-1*var(--bs-tooltip-arrow-height))}.bs-tooltip-bottom .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=bottom] .tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width)*.5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=left] .tooltip-arrow{right:calc(-1*var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-start .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=left] .tooltip-arrow::before{left:-1px;border-width:calc(var(--bs-tooltip-arrow-width)*.5) 0 calc(var(--bs-tooltip-arrow-width)*.5) var(--bs-tooltip-arrow-height);border-left-color:var(--bs-tooltip-bg)}.tooltip-inner{max-width:var(--bs-tooltip-max-width);padding:var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);color:var(--bs-tooltip-color);text-align:center;background-color:var(--bs-tooltip-bg);border-radius:var(--bs-tooltip-border-radius)}.popover{--bs-popover-zindex: 1070;--bs-popover-max-width: 276px;--bs-popover-font-size:0.875rem;--bs-popover-bg: #2d2d2d;--bs-popover-border-width: 1px;--bs-popover-border-color: rgba(0, 0, 0, 0.175);--bs-popover-border-radius: 0.5rem;--bs-popover-inner-border-radius: calc(0.5rem - 1px);--bs-popover-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-popover-header-padding-x: 1rem;--bs-popover-header-padding-y: 0.5rem;--bs-popover-header-font-size:1rem;--bs-popover-header-color: inherit;--bs-popover-header-bg: #434343;--bs-popover-body-padding-x: 1rem;--bs-popover-body-padding-y: 1rem;--bs-popover-body-color: #fff;--bs-popover-arrow-width: 1rem;--bs-popover-arrow-height: 0.5rem;--bs-popover-arrow-border: var(--bs-popover-border-color);z-index:var(--bs-popover-zindex);display:block;max-width:var(--bs-popover-max-width);font-family:Nunito;font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-popover-font-size);word-wrap:break-word;background-color:var(--bs-popover-bg);background-clip:padding-box;border:var(--bs-popover-border-width) solid 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var(--bs-navbar-hover-color);--bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;list-style:none}.navbar-nav .nav-link.active,.navbar-nav .nav-link.show{color:var(--bs-navbar-active-color)}.navbar-nav .dropdown-menu{position:static}.navbar-text{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-navbar-color)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{color:var(--bs-navbar-active-color)}.navbar-collapse{flex-basis:100%;-webkit-flex-basis:100%;flex-grow:1;-webkit-flex-grow:1;align-items:center;-webkit-align-items:center}.navbar-toggler{padding:var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);font-size:var(--bs-navbar-toggler-font-size);line-height:1;color:var(--bs-navbar-color);background-color:rgba(0,0,0,0);border:var(--bs-border-width) solid 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme=dark]{--bs-navbar-color: #4f4f4f;--bs-navbar-hover-color: rgba(51, 153, 243, 0.8);--bs-navbar-disabled-color: rgba(79, 79, 79, 0.75);--bs-navbar-active-color: #3399f3;--bs-navbar-brand-color: #4f4f4f;--bs-navbar-brand-hover-color: #3399f3;--bs-navbar-toggler-border-color: rgba(79, 79, 79, 0);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='%234f4f4f' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='%234f4f4f' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: 1px;--bs-card-border-color: rgba(0, 0, 0, 0.175);--bs-card-border-radius: 0.25rem;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(0.25rem - 1px);--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(52, 58, 64, 0.25);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: #fff;--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 0.75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) 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var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%238fa8c3'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%238fa8c3'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: rgba(108, 117, 125, 0.75);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: rgba(108, 117, 125, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: #3399f3;--bs-pagination-bg: #fff;--bs-pagination-border-width: 1px;--bs-pagination-border-color: #dee2e6;--bs-pagination-border-radius: 0.25rem;--bs-pagination-hover-color: #297ac2;--bs-pagination-hover-bg: #f8f9fa;--bs-pagination-hover-border-color: #dee2e6;--bs-pagination-focus-color: #297ac2;--bs-pagination-focus-bg: #eee;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(68, 110, 155, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #446e9b;--bs-pagination-active-border-color: #446e9b;--bs-pagination-disabled-color: rgba(108, 117, 125, 0.75);--bs-pagination-disabled-bg: #eee;--bs-pagination-disabled-border-color: #dee2e6;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(1px*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: 0.5rem}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: 0.2em}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: 0.25rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.25rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: #eee;--bs-progress-border-radius: 0.25rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #446e9b;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #6c757d;--bs-list-group-bg: #fff;--bs-list-group-border-color: #dee2e6;--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.25rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(108, 117, 125, 0.75);--bs-list-group-action-hover-color: #000;--bs-list-group-action-hover-bg: #f8f9fa;--bs-list-group-action-active-color: #6c757d;--bs-list-group-action-active-bg: #eee;--bs-list-group-disabled-color: rgba(108, 117, 125, 0.75);--bs-list-group-disabled-bg: #fff;--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #446e9b;--bs-list-group-active-border-color: #446e9b;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(68, 110, 155, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.25rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: 0.75rem;--bs-toast-padding-y: 0.5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(255, 255, 255, 0.85);--bs-toast-border-width: 1px;--bs-toast-border-color: rgba(0, 0, 0, 0.175);--bs-toast-border-radius: 0.25rem;--bs-toast-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-toast-header-color: rgba(108, 117, 125, 0.75);--bs-toast-header-bg: rgba(255, 255, 255, 0.85);--bs-toast-header-border-color: rgba(0, 0, 0, 0.175);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-0.5*var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: 0.5rem;--bs-modal-color: ;--bs-modal-bg: #fff;--bs-modal-border-color: rgba(0, 0, 0, 0.175);--bs-modal-border-width: 1px;--bs-modal-border-radius: 0.5rem;--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);--bs-modal-inner-border-radius: calc(0.5rem - 1px);--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: #dee2e6;--bs-modal-header-border-width: 1px;--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: #dee2e6;--bs-modal-footer-border-width: 1px;position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform .3s ease-out;transform:translate(0, -50px)}@media(prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin)*2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin)*2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: 0.5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y)*.5) calc(var(--bs-modal-header-padding-x)*.5);margin:calc(-0.5*var(--bs-modal-header-padding-y)) calc(-0.5*var(--bs-modal-header-padding-x)) calc(-0.5*var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap)*.5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap)*.5)}@media(min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media(min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media(min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media(max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media(max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media(max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media(max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media(max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: 0.5rem;--bs-tooltip-padding-y: 0.25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:0.875rem;--bs-tooltip-color: #fff;--bs-tooltip-bg: #000;--bs-tooltip-border-radius: 0.25rem;--bs-tooltip-opacity: 0.9;--bs-tooltip-arrow-width: 0.8rem;--bs-tooltip-arrow-height: 0.4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:Nunito;font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:rgba(0,0,0,0);border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow{bottom:calc(-1*var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=top] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width)*.5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow{left:calc(-1*var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=right] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width)*.5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width)*.5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^=bottom] .tooltip-arrow{top:calc(-1*var(--bs-tooltip-arrow-height))}.bs-tooltip-bottom .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^=bottom] .tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width)*.5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start 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calc(0.5rem - 1px);--bs-popover-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-popover-header-padding-x: 1rem;--bs-popover-header-padding-y: 0.5rem;--bs-popover-header-font-size:1rem;--bs-popover-header-color: #2d2d2d;--bs-popover-header-bg: #eee;--bs-popover-body-padding-x: 1rem;--bs-popover-body-padding-y: 1rem;--bs-popover-body-color: #6c757d;--bs-popover-arrow-width: 1rem;--bs-popover-arrow-height: 0.5rem;--bs-popover-arrow-border: var(--bs-popover-border-color);z-index:var(--bs-popover-zindex);display:block;max-width:var(--bs-popover-max-width);font-family:Nunito;font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-popover-font-size);word-wrap:break-word;background-color:var(--bs-popover-bg);background-clip:padding-box;border:var(--bs-popover-border-width) solid var(--bs-popover-border-color);border-radius:var(--bs-popover-border-radius)}.popover .popover-arrow{display:block;width:var(--bs-popover-arrow-width);height:var(--bs-popover-arrow-height)}.popover .popover-arrow::before,.popover .popover-arrow::after{position:absolute;display:block;content:"";border-color:rgba(0,0,0,0);border-style:solid;border-width:0}.bs-popover-top>.popover-arrow,.bs-popover-auto[data-popper-placement^=top]>.popover-arrow{bottom:calc(-1*(var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^=top]>.popover-arrow::before,.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^=top]>.popover-arrow::after{border-width:var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width)*.5) 0}.bs-popover-top>.popover-arrow::before,.bs-popover-auto[data-popper-placement^=top]>.popover-arrow::before{bottom:0;border-top-color:var(--bs-popover-arrow-border)}.bs-popover-top>.popover-arrow::after,.bs-popover-auto[data-popper-placement^=top]>.popover-arrow::after{bottom:var(--bs-popover-border-width);border-top-color:var(--bs-popover-bg)}.bs-popover-end>.popover-arrow,.bs-popover-auto[data-popper-placement^=right]>.popover-arrow{left:calc(-1*(var(--bs-popover-arrow-height)) - var(--bs-popover-border-width));width:var(--bs-popover-arrow-height);height:var(--bs-popover-arrow-width)}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^=right]>.popover-arrow::before,.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^=right]>.popover-arrow::after{border-width:calc(var(--bs-popover-arrow-width)*.5) var(--bs-popover-arrow-height) calc(var(--bs-popover-arrow-width)*.5) 0}.bs-popover-end>.popover-arrow::before,.bs-popover-auto[data-popper-placement^=right]>.popover-arrow::before{left:0;border-right-color:var(--bs-popover-arrow-border)}.bs-popover-end>.popover-arrow::after,.bs-popover-auto[data-popper-placement^=right]>.popover-arrow::after{left:var(--bs-popover-border-width);border-right-color:var(--bs-popover-bg)}.bs-popover-bottom>.popover-arrow,.bs-popover-auto[data-popper-placement^=bottom]>.popover-arrow{top:calc(-1*(var(--bs-popover-arrow-height)) - var(--bs-popover-border-width))}.bs-popover-bottom>.popover-arrow::before,.bs-popover-auto[data-popper-placement^=bottom]>.popover-arrow::before,.bs-popover-bottom>.popover-arrow::after,.bs-popover-auto[data-popper-placement^=bottom]>.popover-arrow::after{border-width:0 calc(var(--bs-popover-arrow-width)*.5) 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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30'%3e%3cpath stroke='%234f4f4f' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='%234f4f4f' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: 1px;--bs-card-border-color: rgba(0, 0, 0, 0.175);--bs-card-border-radius: 0.25rem;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(0.25rem - 1px);--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(52, 58, 64, 0.25);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: #fff;--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 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var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 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.nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-left:calc(-0.5*var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media(min-width: 576px){.card-group{display:flex;display:-webkit-flex;flex-flow:row wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 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var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%238fa8c3'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%238fa8c3'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: rgba(108, 117, 125, 0.75);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: rgba(108, 117, 125, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: #3399f3;--bs-pagination-bg: #fff;--bs-pagination-border-width: 1px;--bs-pagination-border-color: #dee2e6;--bs-pagination-border-radius: 0.25rem;--bs-pagination-hover-color: #297ac2;--bs-pagination-hover-bg: #f8f9fa;--bs-pagination-hover-border-color: #dee2e6;--bs-pagination-focus-color: #297ac2;--bs-pagination-focus-bg: #eee;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(68, 110, 155, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #446e9b;--bs-pagination-active-border-color: #446e9b;--bs-pagination-disabled-color: rgba(108, 117, 125, 0.75);--bs-pagination-disabled-bg: #eee;--bs-pagination-disabled-border-color: #dee2e6;display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(1px*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: 0.5rem}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: 0.2em}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: 0.25rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.25rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: #eee;--bs-progress-border-radius: 0.25rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #446e9b;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #6c757d;--bs-list-group-bg: #fff;--bs-list-group-border-color: #dee2e6;--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.25rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(108, 117, 125, 0.75);--bs-list-group-action-hover-color: #000;--bs-list-group-action-hover-bg: #f8f9fa;--bs-list-group-action-active-color: #6c757d;--bs-list-group-action-active-bg: #eee;--bs-list-group-disabled-color: rgba(108, 117, 125, 0.75);--bs-list-group-disabled-bg: #fff;--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #446e9b;--bs-list-group-active-border-color: #446e9b;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(68, 110, 155, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto 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