Deep In-memory Architectures for Machine Learning
| By: | Mingu Kang; Sujan Gonugondla; Naresh R. Shanbhag |
| Publisher: | Springer Nature |
| Print ISBN: | 9783030359706 |
| eText ISBN: | 9783030359713 |
| Edition: | 0 |
| Copyright: | 2020 |
| Format: | Reflowable |
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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.