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Deep In-Memory Architectures for Machine Learning

By: Mingu Kang, Sujan Gonugondla, Naresh R. Shanbhag

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Hardcover | 31 January 2021

At a Glance

Hardcover
188 Pages

Dimensions(cm)
23.5 x 15.49 x 1.02

Hardcover

$99.00

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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.

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