Artificial Intelligence and Brain Research

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Artificial Intelligence and Brain Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence and Brain Research write by Patrick Krauss. This book was released on . Artificial Intelligence and Brain Research available in PDF, EPUB and Kindle.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

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Release : 2023-10-27
Genre : Computers
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Book Rating : 168/5 ( reviews)

Artificial Intelligence in the Age of Neural Networks and Brain Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence in the Age of Neural Networks and Brain Computing write by Robert Kozma. This book was released on 2023-10-27. Artificial Intelligence in the Age of Neural Networks and Brain Computing available in PDF, EPUB and Kindle. 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. Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making Edited by high-level academics and researchers in intelligent systems and neural networks Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks

Creating Brain-Like Intelligence

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Release : 2009-04-02
Genre : Medical
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Book Rating : 159/5 ( reviews)

Creating Brain-Like Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Creating Brain-Like Intelligence write by Bernhard Sendhoff. This book was released on 2009-04-02. Creating Brain-Like Intelligence available in PDF, EPUB and Kindle. TheInternationalSymposiumCreatingBrain-LikeIntelligencewasheldinFeb- ary 2007 in Germany. The symposium brought together notable scientists from di?erent backgrounds and with di?erent expertise related to the emerging ?eld of brain-like intelligence. Our understanding of the principles behind brain-like intelligence is still limited. After all, we have had to acknowledge that after tremendous advances in areas like neural networks, computational and arti?cial intelligence (a ?eld that had just celebrated its 50 year anniversary) and fuzzy systems, we are still not able to mimic even the lower-level sensory capabilities of humans or animals. We asked what the biggest obstacles are and how we could gain ground toward a scienti?c understanding of the autonomy, ?exibility, and robustness of intelligent biological systems as they strive to survive. New principles are usually found at the interfaces between existing disciplines, and traditional boundaries between disciplines have to be broken down to see how complex systems become simple and how the puzzle can be assembled. During the symposium we could identify some recurring themes that p- vaded many of the talks and discussions. The triad of structure, dynamics and environment,theroleoftheenvironmentasanactivepartnerinshapingsystems, adaptivity on all scales (learning, development, evolution) and the amalga- tion of an internal and external world in brain-like intelligence rate high among them. Each of us is rooted in a certain community which we have to serve with the results of our research. Looking beyond our ?elds and working at the interfaces between established areas of research requires e?ort and an active process.

The Self-Assembling Brain

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Release : 2022-12-13
Genre : Computers
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Book Rating : 694/5 ( reviews)

The Self-Assembling Brain - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Self-Assembling Brain write by Peter Robin Hiesinger. This book was released on 2022-12-13. The Self-Assembling Brain available in PDF, EPUB and Kindle. "In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"--

Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications

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Release : 2010-11-30
Genre : Computers
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Book Rating : 231/5 ( reviews)

Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications write by Alonso, Eduardo. This book was released on 2010-11-30. Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications available in PDF, EPUB and Kindle. "This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--