This high-quality PDF is available with Print ISBN: 9780750362573 and 075036257X and eText ISBN: 9780750362573 and 075036257X. AI-Processor Electronics: Basic Technology of Artificial Intelligence offers a comprehensive
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This high-quality PDF is available with Print ISBN: 9780750362573 and 075036257X and eText ISBN: 9780750362573 and 075036257X. AI-Processor Electronics: Basic Technology of Artificial Intelligence offers a comprehensive exploration of the electronics underpinning AI processing units, bridging the gap from classical computing to emerging quantum technologies. Authored by Vinod Kumar Khanna, this 400-page volume delves into the evolution of AI hardware, addressing the limitations of traditional CPUs and the rise of specialized processors designed to meet the demands of modern AI workloads. The book begins with foundational concepts in artificial intelligence, machine learning, and deep learning, providing readers with a solid understanding of the computational requirements of these fields. It then examines the constraints of conventional computing architectures, such as the von Neumann bottleneck, and introduces parallel computing architectures that enhance processing efficiency. Subsequent chapters explore a variety of AI-optimized processors, including graphical processing units (GPUs), tensor processing units (TPUs), neural processing units (NPUs), convolutional neural network processors, vision processing units, and more. The book also delves into advanced topics like compressed and sparse neural network processors, graph analytics processors, associative processing units, and the principles of quantum computing and quantum processing units. This 1st edition is categorized under Technology & Engineering / Artificial Intelligence & Semiconductors. ✅ Lifetime Access | ✅ Instant Download | ✅ Interactive PDF
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