Deep In-memory Architectures for Machine Learning
3030359700
9783030359706
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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The Deep In-memory Architectures for Machine Learning book is in very low demand now as the rank for the book is 12,627,821 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
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