Deep In-memory Architectures for Machine Learning

by Mingu Kang, Sujan Gonugondla, and Naresh R. Shanbhag

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Book cover for Deep In-memory Architectures for Machine Learning

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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. 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.

  • ISBN13 9783030359706
  • Publish Date 31 January 2020
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer Nature Switzerland AG
  • Edition 1st ed. 2020
  • Format Hardcover
  • Pages 174
  • Language English