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Deep In-memory Architectures for Machine Learning

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.

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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.

Produktdetaljer
Sprog: Engelsk
Sider: 174
ISBN-13: 9783030359737
Indbinding: Paperback
Udgave:
ISBN-10: 3030359735
Udg. Dato: 31 jan 2021
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 31 jan 2021
Forfatter(e) Mingu Kang, Sujan Gonugondla, Naresh R. Shanbhag


Kategori Elektronik: kredse og komponenter


ISBN-13 9783030359737


Sprog Engelsk


Indbinding Paperback


Sider 174


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 31 jan 2021


Oplagsdato 31 jan 2021


Forlag Springer Nature Switzerland AG

Kategori sammenhænge