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"item_title" : "Deep In-Memory Architectures for Machine Learning",
"item_author" : [" Mingu Kang", "Sujan Gonugondla", "Naresh R. Shanbhag "],
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Deep In-Memory Architectures for Machine Learning
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783030359706
- ISBN-10: 3030359700
- Publisher: Springer
- Publish Date: January 2020
- Dimensions: 9.21 x 6.14 x 0.5 inches
- Shipping Weight: 0.97 pounds
- Page Count: 174
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