Robert Kozma,
Cesare Alippi,
Yoonsuck Choe,
Francesco Carlo Morabito
e.a.
Elsevier Science
e druk, 2018
9780128154809
Artificial Intelligence in the Age of Neural Networks and Brain Computing
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2018
ISBN13: 9780128154809
Rubricering
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>1. Nature’s Learning Rule: The Hebbian-LMS Algorithm<br>2. A Half Century of Progress Toward a Unified Neural Theory of Mind and Brain With Applications to Autonomous Adaptive Agents and Mental Disorders<br>3. Third Gen AI as Human Experience Based Expert Systems <br>4. The Brain-Mind-Computer Trichotomy: Hermeneutic Approach<br>5. From Synapses to Ephapsis: Embodied Cognition and Wearable Personal Assistants<br>6. Evolving and Spiking Connectionist Systems for Brain-Inspired Artificial Intelligence <br>7. Pitfalls and Opportunities in the Development and Evaluation of Artificial Intelligence Systems<br>8. The New AI: Basic Concepts, and Urgent Risks and Opportunities in the Internet of Things<br>9. Theory of the Brain and Mind: Visions and History<br>10. Computers Versus Brains: Game Is Over or More to Come?<br>11. Deep Learning Approaches to Electrophysiological Multivariate Time-Series Analysis Computational Intelligence in the Time of Cyber-Physical Systems and the Internet of Things<br>12. Multiview Learning in Biomedical Applications <br>13. Meaning Versus Information, Prediction<br>14. Versus Memory, and Question Versus Answer<br>15. Evolving Deep Neural Networks</p>