Artificial Intelligence in the Age of Neural Networks and Brain Computing is the
comprehensive guide for neural network advances in artificial intelligence (Al). It covers the major,basic ideas of “brain-like computing” behind Al, providing a framework to deep learning and launching novel and intriguing paradigms as possible future alternatives.
Following an introduction, initial chapters discuss revolutionary new brain-mind approaches alternative to deep learning, the brain-mind-computer trichotomy, pitfalls and opportunities in the development and evaluation of Al systems, and pitfalls and opportunities in the development and evaluation of Al systems. Subseguent chapters explore a deep learning approach to electrophysiological multivariate time series analysis, multiview learning in biomedical applications, and the evolution of deep neural networks.
This is an essential companion to researchers, engineers, advanced Al practitioners, postdoctoral students in computational intelligence and neural engineering, and the technically oriented public. It provides access to the latest up-to-date knowledge from top, global experts working on theory and cutting-edge applications in signal processing, speech recognition, games, adaptive control, and decision-making.