£65.61

Springer Deep In-memory Architectures for Machine Learning

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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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 January 2020
Listed Since
27 October 2019

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