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This book provides a comprehensive overview of electronics for AI processing units, from classical to quantum computing. It introduces AI, machine learning, and deep learning, and reviews digital computer electronics. It explains the CPU and von Neumann bottleneck, and describes parallel computing architectures, AI-optimized hardware, and processors

Produktbeschreibung
This book provides a comprehensive overview of electronics for AI processing units, from classical to quantum computing. It introduces AI, machine learning, and deep learning, and reviews digital computer electronics. It explains the CPU and von Neumann bottleneck, and describes parallel computing architectures, AI-optimized hardware, and processors
Autorenporträt
Vinod Kumar Khanna, Ph.D. (Physics), is an independent researcher at Chandigarh, India; a former emeritus scientist, Council of Scientific and Industrial Research (CSIR), India, and Emeritus Professor, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India; a retired chief scientist, CSIR-Central Electronics Engineering Research Institute, Pilani, India and professor, AcSIR, India. He has worked for more than 37 years on the design, fabrication, and characterization of power semiconductor devices, MEMS, and nanotechnology-based sensors. He has published 194 research papers in refereed journals and conference proceedings, 21 books, and 6 chapters in edited books. He has five patents to his credit, two US and three Indian.