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Artificial Intelligence in the Age of Neural Networks and Brain Computing

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Top Research Book in Artificial Intelligence in the Age of Neural Networks and Brain Computing

Author(s) Name:  Robert Kozma, Cesare Alippi, Yoonsuck Choe, Francesco

About the Book:

   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.

Table of Contents

  • Nature-s Learning Rule: The Hebbian-LMS Algorithm
  • A Half Century of Progress Toward a Unified Neural Theory of Mind and Brain With Applications to Autonomous Adaptive Agents and Mental Disorders
  • Third Gen AI as Human Experience Based Expert Systems
  • The Brain-Mind-Computer Trichotomy: Hermeneutic Approach
  • From Synapses to Ephapsis: Embodied Cognition and Wearable Personal Assistants
  • Evolving and Spiking Connectionist Systems for Brain-Inspired Artificial Intelligence
  • Pitfalls and Opportunities in the Development and Evaluation of Artificial Intelligence Systems
  • The New AI: Basic Concepts, and Urgent Risks and Opportunities in the Internet of Things
  • Theory of the Brain and Mind: Visions and History
  • Computers Versus Brains: Game Is Over or More to Come?
  • Deep Learning Approaches to Electro physiological Multivariate Time-Series Analysis Computational Intelligence in the Time of Cyber-Physical Systems and the Internet of Things
  • Multiview Learning in Biomedical Applications
  • Meaning Versus Information, Prediction
  • Versus Memory, and Question Versus Answer
  • Evolving Deep Neural Networks

    • ISBN:  9780128162507

    Publisher:  Elsevier

    Year of Publication:  2018

    Book Link:  Home Page Url