VLSI and Hardware Implementations using Modern Machine Learning Methods @2022

2046 · 发表于 2022-10-26 21:11:46

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本帖最后由 2046 于 2022-11-8 17:40 编辑

This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design and implementations of hardware. The scope of the book includes machine-learning–based methods and models for digital, analog, and mixed-signal design techniques; device modeling; physical design; hardware implementation; IC testing; the manufacturing process; reconfigurable design; FPGA-based systems; machine-learning–based IoT; VLSI implementation of ANN; machine-learning–based image processing systems; synthesis and verification; and related areas. The book contains chapters on case studies as well as novel research ideas in the given field.