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Deep In memory Architectures for Machine Learning

by [Kang, Mingu, Gonugondla, Sujan, Shanbhag, Naresh R.]

$104.92

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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.

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Product Details

  • Springer Brand
  • Jan 31, 2020 Pub Date:
  • 9783030359706 ISBN-13:
  • 3030359700 ISBN-10:
  • 184.0 pages Hardcover
  • English Language
  • 9.21 in * 0.5 in * 6.14 in Dimensions:
  • 1 lb Weight: