Name: Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Hardware Architectures
Price: 3141.00 TWD
Availability: InStock
Author: Muhammad Shafique;Sudeep Pasricha
ISBN: 9783031195709

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portada Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Hardware Architectures

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

Type

Physical Book

Publisher

Springer International Publishing AG

Author

Muhammad Shafique;Sudeep Pasricha

Year

2024

Pages

412

Format

Paperback

Dimensions

23.50 x 15.50 cm

ISBN13

9783031195709

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

Muhammad Shafique;Sudeep Pasricha (Author) · Springer International Publishing AG · Paperback

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Synopsis "Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Hardware Architectures"

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.