Deep In-memory Architectures for Machine Learning - Naresh R. Shanbhag,Sujan Gonugondla,Mingu Kang
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Toimitus 12-18 arkipäivässä
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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 har ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Naresh R. Shanbhag, Sujan Gonugondla, Mingu Kang |
|---|---|
| Julkaisija | Springer Nature Switzerland |
| Julkaisuvuosi | 2021 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783030359737 |