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Artificial Intelligence in the Age of Neural Networks and Brain Computing Kozma

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Artificial Intelligence in the Age of Neural Networks and Brain Computing

The comprehensive guide to neural network advances in artificial intelligence (AI)

Robert Kozma (Edited by), Cesare Alippi (Edited by), Yoonsuck Choe (Edited by), Francesco Carlo Morabito (Edited by)

9780128154809

Paperback / softback, published 2 November 2018

352 pages

23.5 x 19 x 2.3 cm, 0.72 kg

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed ]

Artificial Intelligence in the Age of Neural Networks and Brain Computing Kozma

Artificial Intelligence in the Age of Neural Networks and Brain Computing

The comprehensive guide to neural network advances in artificial intelligence (AI)

Robert Kozma (Edited by), Cesare Alippi (Edited by), Yoonsuck Choe (Edited by), Francesco Carlo Morabito (Edited by)

9780128154809

Paperback / softback, published 2 November 2018

352 pages

23.5 x 19 x 2.3 cm, 0.72 kg

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products proposed ]

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