Albert Chun-Chen Liu - Artificial Intelligence Hardware Design

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ARTIFICIAL INTELLIGENCE HARDWARE DESIGN
Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field Artificial Intelligence Hardware Design: Challenges and Solutions
Artificial Intelligence Hardware Design

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5 Author Biographies

6 Preface

7 Acknowledgments

8 Table of Figures

9 Table of Contents

10 Begin Reading

11 Appendix A Neural Network Topology

12 Index

13 Wiley End User License Agreement

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IEEE Press445 Hoes Lane Piscataway, NJ 08854

IEEE Press Editorial BoardEkram Hossain, Editor in Chief

Jón Atli Benediktsson Xiaoou Li Jeffrey Reed
Anjan Bose Lian Yong Diomidis Spinellis
David Alan Grier Andreas Molisch Saeid Nahavandi
Elya B. Joffe Sarah Spurgeon Ahmet Murat Tekalp

Artificial Intelligence Hardware Design

Challenges and Solutions

Albert Chun Chen Liu and Oscar Ming Kin Law

Kneron Inc.,San Diego, CA, USA

Copyright 2021 by The Institute of Electrical and Electronics Engineers Inc - фото 1

Copyright © 2021 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per‐copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750‐8400, fax (978) 750‐4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748‐6011, fax (201) 748‐6008, or online at http://www.wiley.com/go/permission.

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

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Library of Congress Cataloging‐in‐Publication data applied for:

ISBN: 9781119810452

Cover design by Wiley

Cover image: © Rasi Bhadramani/iStock/Getty Images

Author Biographies

Albert Chun Chen Liuis Kneron’s founder and CEO. He is Adjunct Associate Professor at National Tsing Hua University, National Chiao Tung University, and National Cheng Kung University. After graduating from the Taiwan National Cheng Kung University, he got scholarships from Raytheon and the University of California to join the UC Berkeley/UCLA/UCSD research programs and then earned his Ph.D. in Electrical Engineering from the University of California Los Angeles (UCLA). Before establishing Kneron in San Diego in 2015, he worked in R&D and management positions in Qualcomm, Samsung Electronics R&D Center, MStar, and Wireless Information.

Albert has been invited to give lectures on computer vision technology and artificial intelligence at the University of California and be a technical reviewer for many internationally renowned academic journals. Also, Albert owned more than 30 international patents in artificial intelligence, computer vision, and image processing. He has published more than 70 papers. He is a recipient of the IBM Problem Solving Award based on the use of the EIP tool suite in 2007 and IEEE TCAS Darlington award in 2021.

Oscar Ming Kin Lawdeveloped his interest in smart robot development in 2014. He has successfully integrated deep learning with the self‐driving car, smart drone, and robotic arm. He is currently working on humanoid development. He received a Ph.D. in Electrical and Computer Engineering from the University of Toronto, Canada.

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