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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
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Über die Autorin bzw. den Autor
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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AI-Processor Electronics : Basic technology of artificial intelligence
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Institute Of Physics Publishing Jan 2025, 2025
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Buch. Zustand: Neu. Neuware - 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. Bestandsnummer des Verkäufers 9780750362573
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Hardcover. Zustand: new. Hardcover. 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.Key features:Provides a review of the physics of operation of a diverse variety of representative AI processors, and the key concepts and innovations underlying their developmentCovers the underlying principles, technologies, opportunities and future prospectsHighlights the inadequacies of general-purpose processors in meeting the computationally intensive needs of artificial intelligence workloadsElucidates the use of parallel processing architecture in simultaneously performing multiple calculations across data streamsExplores the concepts of neuromorphic and quantum computing to address the growing demands of big data in AI 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 Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9780750362573
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AI-Processor Electronics (Hardcover)
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Institute of Physics Publishing, Bristol, 2025
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ISBN 13: 9780750362573
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Hardcover. Zustand: new. Hardcover. 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.Key features:Provides a review of the physics of operation of a diverse variety of representative AI processors, and the key concepts and innovations underlying their developmentCovers the underlying principles, technologies, opportunities and future prospectsHighlights the inadequacies of general-purpose processors in meeting the computationally intensive needs of artificial intelligence workloadsElucidates the use of parallel processing architecture in simultaneously performing multiple calculations across data streamsExplores the concepts of neuromorphic and quantum computing to address the growing demands of big data in AI 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 Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9780750362573
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