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.
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