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Deep In-memory Architectures for Machine Learning
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Deep In-memory Architectures for Machine Learning

2020 ed.

Book Details

Format Paperback / Softback
ISBN-10 3030359735
ISBN-13 9783030359737
Edition 2020 ed.
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 31st, 2021
Print length 174 Pages
Ksh 9,900.00
Werezi Extended Catalogue 0 in stock

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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.

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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