Compact and Fast Machine Learning Accelerator for IoT Devices

Nonfiction, Computers, Advanced Computing, Engineering, Computer Architecture, Artificial Intelligence, General Computing
Cover of the book Compact and Fast Machine Learning Accelerator for IoT Devices by Hantao Huang, Hao Yu, Springer Singapore
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Author: Hantao Huang, Hao Yu ISBN: 9789811333231
Publisher: Springer Singapore Publication: December 7, 2018
Imprint: Springer Language: English
Author: Hantao Huang, Hao Yu
ISBN: 9789811333231
Publisher: Springer Singapore
Publication: December 7, 2018
Imprint: Springer
Language: English

This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.

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This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.

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