Data & IT
Pocket
Deep In-memory Architectures for Machine Learning
Mingu Kang • Sujan Gonugondla • Naresh R Shanbhag
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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.
- Format: Pocket/Paperback
- ISBN: 9783030359737
- Språk: Engelska
- Antal sidor: 174
- Utgivningsdatum: 2021-01-31
- Förlag: Springer Nature Switzerland AG