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Titlebook: Design and Applications of Emerging Computer Systems; Weiqiang Liu,Jie Han,Fabrizio Lombardi Book 2024 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 19:25:38 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Design and Applications of Emerging Computer Systems
編輯Weiqiang Liu,Jie Han,Fabrizio Lombardi
視頻videohttp://file.papertrans.cn/269/268519/268519.mp4
概述Serves as a single-source reference to state-of-the-art of emerging computing paradigms;.Covers the entire system stack, i.e., from circuit, architecture, up to system level;.Includes contributions by
圖書封面Titlebook: Design and Applications of Emerging Computer Systems;  Weiqiang Liu,Jie Han,Fabrizio Lombardi Book 2024 The Editor(s) (if applicable) and T
描述.This book provides a single-source reference to the state-of-the-art in emerging computer systems. The authors address the technological contributions and developments at various hardware levels of new systems that compute under novel operational paradigms such as stochastic, probabilistic/inexact, neuromorphic, spintronic, bio-inspired and in-memory computing. Coverage includes the entire stack, i.e., from circuit, architecture, up to system level. This book includes tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and a range of applications..
出版日期Book 2024
關鍵詞Approximate computing; stochastic computing; In-Memory Computing; Neuromorphic Computing; Quantum comput
版次1
doihttps://doi.org/10.1007/978-3-031-42478-6
isbn_softcover978-3-031-42480-9
isbn_ebook978-3-031-42478-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 22:25:15 | 只看該作者
Stochastic Computing Applications to Artificial Neural Networksfor creating MNNs. This chapter discusses how SC design methodologies are ideal for developing different ANN designs, and how the results are highly competitive in terms of energy efficiency and overall speed when compared with other extreme hardware-AI solutions such as binary neural networks.
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Error-Tolerant Techniques for Classifiers Beyond Neural Networks for Dependable Machine Learning
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Applications of Ising Models Based on Stochastic Computing
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Design and Applications of Emerging Computer Systems978-3-031-42478-6
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ire stack, i.e., from circuit, architecture, up to system level. This book includes tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and a range of applications..978-3-031-42480-9978-3-031-42478-6
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