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portada Deep In-Memory Architectures for Machine Learning
Type
Physical Book
Author
Publisher
Language
English
Pages
174
Format
Paperback
Dimensions
23.4x15.6x1 cm
Weight
0.27 kg.
ISBN13
9783030359737
Categories

Deep In-Memory Architectures for Machine Learning

Mingu Kang (Author) · Sujan Gonugondla (Author) · Naresh R. Shanbhag (Author) · Springer · Paperback

Deep In-Memory Architectures for Machine Learning - Kang, Mingu ; Gonugondla, Sujan ; Shanbhag, Naresh R.

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Synopsis "Deep In-Memory Architectures for Machine Learning"

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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