Artificial intelligence of neuromorphic systems : from digital, analogue, quantum, and brain-oriented computing to hybrid AI
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Bibliographic Information
Artificial intelligence of neuromorphic systems : from digital, analogue, quantum, and brain-oriented computing to hybrid AI
（World Scientific series on nonlinear science / editor, Leon O. Chua, Series A ; vol. 99）
World Scientific, [2025] , , c2025
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Content Type: text (rdacontent), Media Type: unmediated (rdamedia), Carrier Type: volume (rdacarrier)
Includes bibliographical references and index.
Summary:"This book argues for neuromorphic systems as a technology of the future, which are oriented towards the energy efficiency of natural brains. Energy efficiency is a dramatic claim in times of environmental and climate challenges which should consider the sustainability goals of the United Nations (UN). Mathematically, neuromorphic computing is connected to analogue ('real') computing, which theoretically overcomes the limits of digital Turing computability. Therefore, the book also considers material sciences and engineering sciences which start to realize neuromorphic computing in hardware. Other mathematical formalisms such as quantum mechanics also open up new solutions (e.g., quantum computing) beyond the limits of digital Turing computability. These research fields are no longer merely of theoretical interest, they promise increasing innovation power of market interest. Nevertheless, neuromorphic computing is connected with deep logical, mathematical, and epistemic questions. Does it open new ave
Contents of Works
- Foundations of digital computing
- Complexity degrees of digital computing
- Foundations of real computing
- Complexity degrees of real computing
- Real computing of neural networks
- Digital limits of real computing
- Real solvability of real computing
- Limits and solvability of machine learning
- Limits and solvability of quantum computing
- Limits and solvability of relativistic computing
- Neurobiological and cognitive foundations of neuromorphic systems
- Technological prospects of electronic neuromorphic systems
- Technological prospects of photonic neuromorphic systems
- Strategic prospects of neuromorphic systems with sustainable and responsible AI.
