Artificial Intelligence in the Age of Neural Networks and Brain Computing
ISBN-10 书号: 0128154802
ISBN-13 书号: 9780128154809
Edition 版本: 1
Release Finelybook 出版日期: 2018-11-16
pages 页数: (352 )

$170

Edited by
Robert Kozma
University of Memphis, Department of Mathematics,
Memphis, TN, United States
University of Massachusetts Amherst, Department of Computer
Science, Amherst, MA, United States
Cesare Alippi
Politecnico di Milano, Milano, Italy
Universita` della Svizzera italiana, Lugano, Switzerland
Yoonsuck Choe
Samsung Research & Texas A&M University, College Station, TX,
United States
Francesco Carlo Morabito
University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

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 by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book.

Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN)
Authored by top experts, global field pioneers and researchers 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

List of Contributors
Editors’ Brief Biographies
Introduction
1-Nature’s Learning Rule: The Hebbian-LMS
Algorithm
2-A Half Century of Progress Toward a Unified
Neural Theory of Mind and Brain With Applications
to Autonomous Adaptive Agents..…
3-Third Gen AI as Human Experience Based Expert
Systems
4-The Brain-Mind-Computer Trichotomy:
Hermeneutic Approach
5-From Synapses to Ephapsis: Embodied Cognition
and Wearable Personal Assistants
6-Evolving and Spiking Connectionist Systems for
Brain-Inspired Artificial Intelligence
7-Pitfalls and Opportunities in the Development
and Evaluation of Artificial Intelligence Systems
8-The New Al: Basic Concepts, and Urgent Risks and
Opportunities in the Internet of Things
9-Theory of the Brain and Mind: Visions and History
10-Computers Versus Brains: Game Is Over or More
to Come?
11-Deep Learning Approaches to
Electrophysiological Multivariate Time-Series
Analysis
12-Computational Intelligence in the Time of
Cyber-Physical Systems and the Internet of Things
13-Multiview Learning in Biomedical Applications
14-Meaning Versus Information, Prediction Versus
Memory, and Question Versus Answer
15-Evolving Deep Neural Networks


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