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Deep In-Memory Architectures for Machine Learning

Deep In-Memory Architectures for Machine Learning

Hardback (31 Jan 2020)

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Publisher's Synopsis

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: 9783030359706
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Language: English
Number of pages: 174
Weight: 454g
Height: 235mm
Width: 155mm
Spine width: 13mm