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Record Nr. |
UNINA9911069667903321 |
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Autore |
Khanna Vinod Kumar |
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Titolo |
AI-Processor Electronics : Basic Technology of Artificial Intelligence |
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Pubbl/distr/stampa |
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Bristol : , : Institute of Physics Publishing, , 2025 |
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©2024 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (323 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Machine learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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PRELIMS.pdf -- Acknowledgments -- Author biography -- Vinod Kumar Khanna -- Academic qualifications -- Research/teaching experience and accomplishments -- Semiconductor facility creation and maintenance -- Scientific positions held -- Membership of professional societies -- Foreign travel -- Scholarships and awards -- Research publications and books -- About the book -- Abbreviations, acronyms, initialisms and symbols -- Outline placeholder -- Mathematical symbols -- Greek letters -- Special symbols -- CH001.pdf -- Chapter Artificial intelligence, machine learning, deep learning and generative artificial intelligence -- 1.1 Introduction -- 1.2 AI versus ML vs DL vs Gen AI -- 1.3 Ethics of AI -- 1.4 Types of machine learning -- 1.4.1 Supervised learning -- 1.4.2 Unsupervised learning -- 1.4.3 Semi-supervised learning -- 1.4.4 Reinforcement learning -- 1.5 Artificial neural networks -- 1.5.1 Feed-forward neural network |
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Sommario/riassunto |
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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 |
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