Название: Deep In-memory Architectures for Machine LearningАвтор: Mingu Kang, Sujan Gonugondla, Naresh R. Shanbhag
Издательство: Springer
Год: 2020
Формат: True PDF
Страниц: 174
Размер: 10 Mb
Язык: English
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.