
eBook - ePub
Artificial Intelligence in the Age of Neural Networks and Brain Computing
- 400 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Artificial Intelligence in the Age of Neural Networks and Brain Computing
About this book
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present 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 possible future alternatives.
The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters.
- 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
- Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks
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Yes, you can access Artificial Intelligence in the Age of Neural Networks and Brain Computing by Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Editors' brief biographies
- Introduction
- 1 Advances in AI, neural networks, and brain computing: An introduction
- Part 1: Fundamentals of neural networks and brain computing
- Part 2: Brain-inspired AI systems
- Part 3: Cutting-edge developments in deep learning and intelligent systems
- Index