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Deep In-Memory Architectures for Machine Learning
Paperback
Technology & EngineeringGeneral Computers
ISBN13: 9783030359737
Publisher: Springer Nature
Published: Jan 31 2021
Pages: 174
Weight: 0.60
Height: 0.40 Width: 6.14 Depth: 9.21
Language: English
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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