Deep In-memory Architectures for Machine Learning

Bys: Kang, Mingu, Gonugondla, Sujan, Shanbhag, Naresh R.

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: Hardcover
• Language: English
• ISBN: 3030359700
• ISBN13: 9783030359706
• Release Date: January 2020
• Publisher: Springer
• Length: 174 Pages
• Weight: 0.97 lbs.
• Dimensions: 0.5" x 6.1" x 9.2"