Название: Machine Learning Techniques for VLSI Chip DesignАвтор: Abhishek Kumar, Suman Lata Tripathi, K. Srinivasa Rao
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 239
Язык: английский
Формат: pdf (true)
Размер: 35.7 MB
This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, the efficient hardware of machine learning applications with FPGA or CMOS circuits, and many other aspects and applications of machine learning techniques for VLSI chip design. Artificial Intelligence (AI) and Machine Learning (ML) have, or will have, an impact on almost every aspect of our lives and every device that we own. AI has benefitted every industry in terms of computational speeds, accurate decision prediction, efficient Machine Learning (ML), and Deep Learning (DL) algorithms. The VLSI industry uses the electronic design automation tool (EDA), and the integration with ML helps in reducing design time and cost of production.
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