Deep In-memory Architectures for Machine Learning - Naresh R. Shanbhag,Sujan Gonugondla,Mingu Kang
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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 ... Full description
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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.
More Information
| Author | Naresh R. Shanbhag, Sujan Gonugondla, Mingu Kang |
|---|---|
| Publisher | Springer Nature Switzerland |
| Release year | 2020 |
| Cover type | Hardcover |
| EAN | 9783030359706 |