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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Hardware Architectures

Language EnglishEnglish
Book Paperback
Book Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing Sudeep Pasricha
Libristo code: 46636742
Publishers Springer, Berlin, November 2023
This book presents recent advances towards the goal of enabling efficient implementation of machine... Full description
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This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.

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About the book

Full name Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Author Sudeep Pasricha, Muhammad Shafique
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 412
EAN 9783031195709
Libristo code 46636742
Publishers Springer, Berlin
Weight 645
Dimensions 155 x 235

Categories

Computing & Information Technology > Computer hardware > Embedded systems
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