Deep In-memory Architectures for Machine Learning

Mingu Kang, Sujan Gonugondla, Naresh R. Shanbhag

Research output: Book/Report/Conference proceedingBook


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.

Original languageEnglish (US)
Number of pages174
ISBN (Electronic)9783030359713
ISBN (Print)9783030359706
StatePublished - Jan 1 2020

ASJC Scopus subject areas

  • General Engineering
  • General Computer Science


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