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Delve into the world of Artificial Intelligence (AI) and explore the groundbreaking applications of neural networks and brain computing. “Artificial Intelligence in the Age of Neural Networks and Brain Computing” by Robert Kozma is a comprehensive guide that reveals the unique attributes of neural networks, including machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines.
This book covers the fundamental concepts of brain-inspired computing behind AI, providing a framework for deep learning and introducing novel and intriguing paradigms for future alternatives. Discover how the success of AI-based commercial products from industry leaders such as Google, IBM, Microsoft, and Intel can be understood through the lens of neural networks.
Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN), this book brings together expertise from top researchers, global field pioneers, and academics working on cutting-edge applications in signal processing, speech recognition, games, adaptive control, and decision-making.
Edited by high-level academics and researchers in intelligent systems and neural networks, this comprehensive guide is a must-read for anyone interested in unlocking the secrets of AI and its applications.
Book Details:
Publisher: Elsevier Science
Publication Date: October 30, 2018
Language: English
ISBN: 9780128154809 / 9780128162507
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