Artificial Intelligence in the Age of Neural Networks and Brain Computing

Herausgeber: Kozma, Robert; Morabito, Francesco Carlo; Choe, Yoonsuck; Alippi, Cesare

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Elsevier Science & Technology
• 2 ed
• Seitenzahl: 396
• Erscheinungstermin: 10. Oktober 2023
• Englisch
• Abmessung: 192mm x 237mm x 23mm
• Gewicht: 822g
• ISBN-13: 9780323961042
• ISBN-10: 0323961045
• Artikelnr.: 63734071

Inhaltsangabe

1. Advances in AI, neural networks, and brain computing: An introduction
PART 1 Fundamentals of neural networks and brain computing 2. Nature¿s
learning rule: The Hebbian-LMS algorithm 3. A half century of progress
toward a unified neural theory of mind and brain with applications to
autonomous adaptive agents and mental disorders 4. Meaning versus
information, prediction versus memory, and question versus answer 5. The
brain-mind-computer trichotomy: Hermeneutic approach PART 2 Brain-inspired
AI systems 6. The new AI: Basic concepts, and urgent risks and
opportunities in the internet of things 7. Computers versus brains:
Challenges of sustainable artificial and biological intelligence 8.
Brain-inspired evolving and spiking connectionist systems for life-long and
developmental learning 9. Pitfalls and opportunities in the development and
evaluation of artificial intelligence systems 10. Theory of the brain and
mind visions and history 11. From synapses to ephapsis: Embodied cognition
and wearable personal assistants PART 3 Cutting-edge developments in deep
learning and intelligent systems 12. Explainable deep learning to
information extraction in diagnostics and electrophysiological multivariate
time series 13. Computational intelligence in the time of cyber-physical
systems and the Internet of Things 14. Evolving deep neural networks 15.
Evolving GAN formulations for higher-quality image synthesis 16. Multiview
learning in biomedical applications 17. Emergence of tool construction and
tool use through hierarchical reinforcement learning 18. A Lagrangian
framework for learning in graph neural networks