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ISBN 10: 075036260X ISBN 13: 9780750362603
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Paperback or Softback. Condition: New. AI-Processor Electronics: Basic technology of artificial intelligence. Book.
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Published by Institute of Physics Publishing, 2025
ISBN 10: 075036260X ISBN 13: 9780750362603
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Published by Institute of Physics Publishing, 2025
ISBN 10: 075036260X ISBN 13: 9780750362603
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Published by IOP Publishing Ltd Jan 2025, 2025
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Taschenbuch. Condition: 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.
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Published by Institute of Physics Publishing, 2025
ISBN 10: 075036257X ISBN 13: 9780750362573
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Language: English
Published by IOP Publishing Ltd Jan 2025, 2025
ISBN 10: 075036257X ISBN 13: 9780750362573
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: 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.