Abstract

The field of neural networks inspired by the structure and operation of brains has been at the forefront of the recent progress in artificial intelligence and machine intelligence research, and it is expected to continue to be at the cutting edge in the years and decades ahead. This volume provides a snapshot of the status of the field and outlines multiple promising new directions for future development. It will be of benefit of researchers working on the theoretical and computational aspects, as well as engineering applications of this rapidly developing field. The present book is the second edition of the 2017 book “Artificial Intelligence in the Age of Neural Networks and Brain Computing”. The original aim of this work was to analyze the exceptional growth of artificial intelligence (AI) we all experienced in recent years from the perspective of neurocomputing and neuroscience research as advocated from a group of pioneers within the International Neural Network Society (INNS) umbrella. That means trying to develop a general framework to constantly relate the conceptual equations and the brain model, looking at the practical applications of AI/neural systems.

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