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Brain-inspired Cognition and Understanding for Next-generation AI: Computational Models, Architectures and Learning Algorithms

2023-04-19 Science
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Release : 2023-04-19
Genre : Science
Kind : eBook
Book Rating : 169/5 ( reviews)

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Book Synopsis Brain-inspired Cognition and Understanding for Next-generation AI: Computational Models, Architectures and Learning Algorithms by : Chenwei Deng

Download or read book Brain-inspired Cognition and Understanding for Next-generation AI: Computational Models, Architectures and Learning Algorithms written by Chenwei Deng. This book was released on 2023-04-19. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in the Age of Neural Networks and Brain Computing

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

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Book Synopsis Artificial Intelligence in the Age of Neural Networks and Brain Computing by : Robert Kozma

Download or read book Artificial Intelligence in the Age of Neural Networks and Brain Computing written by Robert Kozma. This book was released on 2023-10-27. Available in PDF, EPUB and Kindle. Book excerpt: 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

Brain-inspired Machine Learning and Computation for Brain-Behavior Analysis

2021-04-16 Science
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Release : 2021-04-16
Genre : Science
Kind : eBook
Book Rating : 832/5 ( reviews)

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Book Synopsis Brain-inspired Machine Learning and Computation for Brain-Behavior Analysis by : Rong Chen

Download or read book Brain-inspired Machine Learning and Computation for Brain-Behavior Analysis written by Rong Chen. This book was released on 2021-04-16. Available in PDF, EPUB and Kindle. Book excerpt:

Brain-Inspired Intelligence and Visual Perception

2019-02-14 Technology & Engineering
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Release : 2019-02-14
Genre : Technology & Engineering
Kind : eBook
Book Rating : 494/5 ( reviews)

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Book Synopsis Brain-Inspired Intelligence and Visual Perception by : Wenfeng Wang

Download or read book Brain-Inspired Intelligence and Visual Perception written by Wenfeng Wang. This book was released on 2019-02-14. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.

Biologically Inspired Cognitive Architectures 2019

2019-07-16 Technology & Engineering
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Release : 2019-07-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 193/5 ( reviews)

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Book Synopsis Biologically Inspired Cognitive Architectures 2019 by : Alexei V. Samsonovich

Download or read book Biologically Inspired Cognitive Architectures 2019 written by Alexei V. Samsonovich. This book was released on 2019-07-16. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

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