Artificial Intelligence Of Neuromorphic Systems From Digital Analogue Quantum And Brain Oriented Computing To Hybrid Ai
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Artificial Intelligence Of Neuromorphic Systems: From Digital, Analogue, Quantum, And Brain-oriented Computing To Hybrid Ai
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 avenues to Artificial General Intelligence (AGI)? All these tendencies of research and innovation demonstrate that we need more integrated research in the foundations of logic, mathematics, physics, engineering sciences, cognitive science, and philosophy. The book is a plea for this kind of research.
Nonlinear Resonance From Circuits To Systems
This book is a specific monograph on nonlinear resonance in circuits and systems. The topic falls within the wider area of research that the authors have been developing during the last several years, which includes strange attractors and bifurcations in nonlinear circuits and control systems. Particularly, this monograph discusses the active use of jump resonance circuits, outlining the concept of multi jump and multiple hysteresis jump resonance with the aim of designing electronic circuits, either analog or digital, capable of sensing frequency drifts.The organization is optimized for the reader's quick acquisition of theoretical knowledge which can immediately be applied to carry out practical experiments on nonlinear circuits. The first few chapters present main concepts of jump resonance and the recent advances on nonlinear resonance. Then, the relevance of jump resonance is analyzed in the case of the Chua's circuit and presented in the discrete-time domain. The multi-jump resonance phenomenon is also studied, offering the real possibility of designing multi-jump resonance responses for multi-drift frequency detection. Some chapters focus on the presentation of practical devices, including digital solutions.This monograph is a suitable reading for both theorists and practitioners in nonlinear electronic circuits, especially those interested in how nonlinear resonance can be useful to design advanced circuits and systems.
Philosophisches Handbuch Künstliche Intelligenz
Das Handbuch schlägt die Brücke von der Grundlagenforschung zum Orientierungswissen. Es greift damit die Bildungs- und Ausbildungsziele der bundesweiten MINT-Initiative auf, die Mathematik (M), Informatik (I), Naturwissenschaft (N) und Technik (T) als fachübergreifendes Schlüsselwissen für technisch-wissenschaftlich gestützte Gesellschaften versteht. Additives Wissen und Ausbildung in getrennten Disziplinen der Mathematik, Informatik, Naturwissenschaft und Technik reichen aber nicht aus. In der Künstlichen Intelligenz wachsen diese Disziplinen mit den Human- und Sozialwissenschaften zusammen. Zunächst sollen die Grundlagen der KI-Forschung methodisch und begrifflich geklärt werden. Philosophie wird als Grundlagenforschung verstanden, die logisch und methodisch die Prinzipien von Wissenschaft und Technik untersucht. Daher handelt es sich um ein „Philosophisches Handbuch“ (in diesem Fall der KI) und nicht um eine Bindestrich-Philosophie, also ein Handbuch der Philosophie einer Einzelwissenschaft. Denken und Wissen selber und das Selbstverständnis der Menschen verändern sich durch KI grundlegend.