Deep In-memory Architectures for Machine Learning

Released on by Mingu Kang
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  • Deep In-memory Architectures for Machine Learning Book Detail

  • Author : Mingu Kang
  • Release Date : 2020-01-30
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 181
  • ISBN 13 : 3030359719
  • File Size : 42,42 MB
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Deep In-memory Architectures for Machine Learning by Mingu Kang PDF Summary

Book 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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