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
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Vinod Kumar Khanna is a former Emeritus Scientist at CSIR-Central Electronics Engineering Research Institute, Pilani, India, and Emeritus Professor at the Academy of Scientific & Innovative Research, India. He is a retired Chief Scientist and Head of the MEMS & Microsensors Group, CSIR-CEERI, Pilani.
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Buch. Zustand: Neu. Neuware - The revolutionary impact of advances in artificial intelligence on consumer and industrial electronics has significantly increased the demand for specialized processing units for AI workloads. AI-Processor Electronics: Basic Technology of Artificial Intelligence explores the principles and technology behind these processors, which perform fast, energy-efficient data processing and complex computations. The book begins with an overview of AI, machine learning, and deep learning, and a brief introduction to digital computer electronics. It highlights the limitations of traditional CPUs in modern AI, discussing parallel computing and AI-optimized hardware that are specially tailored and adapted to meet AI requirements. The book then covers various AI processors, including graphical, tensor, neural, convolutional neural network, vision, sparse neural network, graph analytics, associative memory, and quantum processing units. Artikel-Nr. 9780750362573
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