Computational Neuroscience For Advancing Artificial Intelligence
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Computational Neuroscience For Advancing Artificial Intelligence Models Methods And Applications
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Author : Alonso, Eduardo
language : en
Publisher: IGI Global
Release Date : 2010-11-30
Computational Neuroscience For Advancing Artificial Intelligence Models Methods And Applications written by Alonso, Eduardo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-30 with Computers categories.
"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"--
Artificial Intelligence In The Age Of Neural Networks And Brain Computing
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Author : Robert Kozma
language : en
Publisher: Academic Press
Release Date : 2018-10-30
Artificial Intelligence In The Age Of Neural Networks And Brain Computing written by Robert Kozma and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Science categories.
Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing 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 future alternatives. The success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel and Amazon can be interpreted using this book. - 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
Computational Neuroscience
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Author : Hanspeter A Mallot
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-05-23
Computational Neuroscience written by Hanspeter A Mallot and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-23 with Technology & Engineering categories.
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.
The International Conference On Advanced Machine Learning Technologies And Applications Amlta2019
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer
Release Date : 2019-03-16
The International Conference On Advanced Machine Learning Technologies And Applications Amlta2019 written by Aboul Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-16 with Computers categories.
This book presents the peer-reviewed proceedings of the 4th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2019), held in Cairo, Egypt, on March 28–30, 2019, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover the latest research on machine learning, deep learning, biomedical engineering, control and chaotic systems, text mining, summarization and language identification, machine learning in image processing, renewable energy, cyber security, and intelligence swarms and optimization.
Computer Vision And Image Processing In Intelligent Systems And Multimedia Technologies
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Author : Sarfraz, Muhammad
language : en
Publisher: IGI Global
Release Date : 2014-04-30
Computer Vision And Image Processing In Intelligent Systems And Multimedia Technologies written by Sarfraz, Muhammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-30 with Computers categories.
The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
Brain Inspired Machine Learning And Computation For Brain Behavior Analysis
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Author : Rong Chen
language : en
Publisher: Frontiers Media SA
Release Date : 2021-04-16
Brain Inspired Machine Learning And Computation For Brain Behavior Analysis written by Rong Chen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-16 with Science categories.
Artificial Intelligence In Behavioral And Mental Health Care
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Author : David D. Luxton
language : en
Publisher: Academic Press
Release Date : 2015-09-10
Artificial Intelligence In Behavioral And Mental Health Care written by David D. Luxton and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-10 with Psychology categories.
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings
Challenges And Applications For Implementing Machine Learning In Computer Vision
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Author : Kashyap, Ramgopal
language : en
Publisher: IGI Global
Release Date : 2019-10-04
Challenges And Applications For Implementing Machine Learning In Computer Vision written by Kashyap, Ramgopal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with Computers categories.
Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.
Fusion Of Artificial Intelligence And Machine Learning In Advanced Image Processing
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Author : Arun Kumar Rana
language : en
Publisher: CRC Press
Release Date : 2024-11-22
Fusion Of Artificial Intelligence And Machine Learning In Advanced Image Processing written by Arun Kumar Rana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Computers categories.
This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems. The book is divided into sections that deal with Artificial intelligence and machine learning in medicine and healthcare Intelligent decision-making and analysis technology Machine learning and deep learning for agriculture Artificial intelligence and machine learning for security solutions Automation in image processing Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of artificial intelligence and machine learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas.
Artificial Neural Networks As Models Of Neural Information Processing
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Author : Marcel van Gerven
language : en
Publisher: Frontiers Media SA
Release Date : 2018-02-01
Artificial Neural Networks As Models Of Neural Information Processing written by Marcel van Gerven and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-01 with categories.
Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.