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
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Author : Klaus Mainzer
language : en
Publisher: World Scientific
Release Date : 2024-11-15
Artificial Intelligence Of Neuromorphic Systems From Digital Analogue Quantum And Brain Oriented Computing To Hybrid Ai written by Klaus Mainzer and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Mathematics categories.
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
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Author : Luigi Fortuna
language : en
Publisher: World Scientific
Release Date : 2025-02-27
Nonlinear Resonance From Circuits To Systems written by Luigi Fortuna and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Mathematics categories.
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 K Nstliche Intelligenz
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Author : Klaus Mainzer
language : de
Publisher: Springer-Verlag
Release Date : 2024-09-14
Philosophisches Handbuch K Nstliche Intelligenz written by Klaus Mainzer and has been published by Springer-Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-14 with Science categories.
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.
Agentic And Machine Learning Architectures In Semiconductors And Intelligent Wireless Telecommunication Systems
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Author : Goutham Kumar Sheelam
language : en
Publisher: CANEDA GLOBAL JOURNAL GROUP
Release Date :
Agentic And Machine Learning Architectures In Semiconductors And Intelligent Wireless Telecommunication Systems written by Goutham Kumar Sheelam and has been published by CANEDA GLOBAL JOURNAL GROUP this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Grenzen K Nstlicher Intelligenz
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Author : Markus Maier
language : de
Publisher: Kohlhammer Verlag
Release Date : 2025-02-19
Grenzen K Nstlicher Intelligenz written by Markus Maier and has been published by Kohlhammer Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Philosophy categories.
Die aktuellen Entwicklungen Künstlicher Intelligenz vermitteln den Eindruck grenzenloser Möglichkeiten. Sie strahlen dabei in alle gesellschaftlichen Bereiche aus und bestimmen unsere lebensweltlichen Praxen maßgeblich mit. Wie bei allen großen technologischen Transformationen stellt sich dabei die Frage nach deren zukünftigen Potentialen, umgekehrt aber auch nach ihren prinzipiellen Grenzen. In diesem Spannungsverhältnis kann philosophische Reflexion durch begriffliche Klarheit für Orientierung sorgen und einen (auf-)klärenden Beitrag leisten, welcher dabei hilft ernstzunehmende technische Möglichkeiten von unvernünftigen Spekulationen sinnvoll unterscheiden zu können. Der vorliegende Band trägt damit zu einem übergreifenden Diskurs über die Beurteilung von Möglichkeiten und Grenzen Künstlicher Intelligenz bei.
Nano Chips 2030
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Author : Boris Murmann
language : en
Publisher: Springer Nature
Release Date : 2020-06-08
Nano Chips 2030 written by Boris Murmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-08 with Science categories.
In this book, a global team of experts from academia, research institutes and industry presents their vision on how new nano-chip architectures will enable the performance and energy efficiency needed for AI-driven advancements in autonomous mobility, healthcare, and man-machine cooperation. Recent reviews of the status quo, as presented in CHIPS 2020 (Springer), have prompted the need for an urgent reassessment of opportunities in nanoelectronic information technology. As such, this book explores the foundations of a new era in nanoelectronics that will drive progress in intelligent chip systems for energy-efficient information technology, on-chip deep learning for data analytics, and quantum computing. Given its scope, this book provides a timely compendium that hopes to inspire and shape the future of nanoelectronics in the decades to come.
Memristors For Neuromorphic Circuits And Artificial Intelligence Applications
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Author : Jordi Suñé
language : en
Publisher: MDPI
Release Date : 2020-04-09
Memristors For Neuromorphic Circuits And Artificial Intelligence Applications written by Jordi Suñé and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-09 with Technology & Engineering categories.
Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.
Neuromorphic Photonics
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Author : Paul R. Prucnal
language : en
Publisher: CRC Press
Release Date : 2017-05-08
Neuromorphic Photonics written by Paul R. Prucnal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-08 with Science categories.
This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.
Thinking Machines
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Author : Shigeyuki Takano
language : en
Publisher: Academic Press
Release Date : 2021-03-27
Thinking Machines written by Shigeyuki Takano and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-27 with Computers categories.
Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples of machine learning hardware and basic knowledge of machine learning in general, but also the main issues involved in its implementation. Readers will learn what is required for the design of machine learning hardware for neuromorphic computing and/or neural networks.This is a recommended book for those who have basic knowledge of machine learning or those who want to learn more about the current trends of machine learning. - Presents a clear understanding of various available machine learning hardware accelerator solutions that can be applied to selected machine learning algorithms - Offers key insights into the development of hardware, from algorithms, software, logic circuits, to hardware accelerators - Introduces the baseline characteristics of deep neural network models that should be treated by hardware as well - Presents readers with a thorough review of past research and products, explaining how to design through ASIC and FPGA approaches for target machine learning models - Surveys current trends and models in neuromorphic computing and neural network hardware architectures - Outlines the strategy for advanced hardware development through the example of deep learning accelerators
Redesigning Organizations
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Author : Denise Feldner
language : en
Publisher: Springer Nature
Release Date : 2019-12-11
Redesigning Organizations written by Denise Feldner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-11 with Science categories.
This book offers readers a deeper understanding of the Cyberspace, of how institutions and industries are reinventing themselves, helping them excel in the transition to a fully digitally connected global economy. Though technology plays a key part in this regard, societal acceptance is the most important underlying condition, as it poses pressing challenges that cut across companies, developers, governments and workers. The book explores the challenges and opportunities involved, current and potential future concepts, critical reflections and best practices. It addresses connected societies, new opportunities for governments, the role of trust in digital networks, and future education networks. In turn, a number of representative case studies demonstrate the current state of development in practice.