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Deep In-memory Architectures for Machine Learning by Mingu Kang 9783030359737

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9783030359737
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9783030359737
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Description

This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.

Book Information
ISBN 9783030359737
Author Mingu Kang
Format Paperback
Page Count 174
Imprint Springer Nature Switzerland AG
Publisher Springer Nature Switzerland AG
Weight(grams) 155g

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