Artificial Intelligence in the Age of Neural Networks and Brain Computing

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  • Publisher : Academic Press
  • Release : 30 October 2018
  • ISBN : 9780128162507
  • Page : 352 pages
  • Rating : 4.5/5 from 103 voters

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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

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Artificial Intelligence in the Age of Neural Networks and Brain Computing

Artificial Intelligence in the Age of Neural Networks and Brain Computing
  • Author : Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito
  • Publisher : Academic Press
  • Release Date : 2018-10-30
  • ISBN : 9780128162507
GET THIS BOOKArtificial Intelligence in the Age of Neural Networks and Brain Computing

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

Human Brain and Artificial Intelligence

Human Brain and Artificial Intelligence
  • Author : An Zeng,Dan Pan,Tianyong Hao,Daoqiang Zhang,Yiyu Shi,Xiaowei Song
  • Publisher : Springer Nature
  • Release Date : 2019-11-09
  • ISBN : 9789811513985
GET THIS BOOKHuman Brain and Artificial Intelligence

This book constitutes the refereed proceedings of the workshop held in conjunction with the 28th International Conference on Artificial Intelligence, IJCAI 2019, held in Macao, China, in August 2019: the First International Workshop on Human Brain and Artificial Intelligence, HBAI 2019. The 24 full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized according to the following topical headings: computational brain science and its applications; brain-inspired artificial intelligence and its applications.

AI and IoT for Sustainable Development in Emerging Countries

AI and IoT for Sustainable Development in Emerging Countries
  • Author : Zakaria Boulouard,Mariyam Ouaissa,Sarah El Himer
  • Publisher : Springer Nature
  • Release Date : 2022
  • ISBN : 9783030906184
GET THIS BOOKAI and IoT for Sustainable Development in Emerging Countries

This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are

Machine Learning for Intelligent Multimedia Analytics

Machine Learning for Intelligent Multimedia Analytics
  • Author : Pardeep Kumar,Amit Kumar Singh
  • Publisher : Springer Nature
  • Release Date : 2021-01-16
  • ISBN : 9789811594922
GET THIS BOOKMachine Learning for Intelligent Multimedia Analytics

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier

Conscious Mind, Resonant Brain

Conscious Mind, Resonant Brain
  • Author : Stephen Grossberg
  • Publisher : Oxford University Press
  • Release Date : 2021-05-28
  • ISBN : 9780190070571
GET THIS BOOKConscious Mind, Resonant Brain

How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory

Machine Learning for Edge Computing

Machine Learning for Edge Computing
  • Author : Amitoj Singh,Vinay Kukreja,Taghi Javdani Gandomani
  • Publisher : CRC Press
  • Release Date : 2022-07-29
  • ISBN : 9781000609240
GET THIS BOOKMachine Learning for Edge Computing

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing

Foundations of Artificial Intelligence in Healthcare and Bioscience

Foundations of Artificial Intelligence in Healthcare and Bioscience
  • Author : Louis J. Catania
  • Publisher : Academic Press
  • Release Date : 2020-11-25
  • ISBN : 9780323860055
GET THIS BOOKFoundations of Artificial Intelligence in Healthcare and Bioscience

Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
  • Author : Lia Morra,Silvia Delsanto,Loredana Correale
  • Publisher : CRC Press
  • Release Date : 2019-11-25
  • ISBN : 9781000753202
GET THIS BOOKArtificial Intelligence in Medical Imaging

This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed

Approximate Computing Techniques

Approximate Computing Techniques
  • Author : Alberto Bosio,Daniel Ménard,Olivier Sentieys
  • Publisher : Springer Nature
  • Release Date : 2022-06-10
  • ISBN : 9783030947057
GET THIS BOOKApproximate Computing Techniques

This book serves as a single-source reference to the latest advances in Approximate Computing (AxC), a promising technique for increasing performance or reducing the cost and power consumption of a computing system. The authors discuss the different AxC design and validation techniques, and their integration. They also describe real AxC applications, spanning from mobile to high performance computing and also safety-critical applications.

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
  • Author : Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis
  • Publisher : Springer Nature
  • Release Date : 2020-05-29
  • ISBN : 9783030491864
GET THIS BOOKArtificial Intelligence Applications and Innovations

This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
  • Author : John MacIntyre,Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis
  • Publisher : Springer
  • Release Date : 2019-05-15
  • ISBN : 9783030198237
GET THIS BOOKArtificial Intelligence Applications and Innovations

This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019. The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical and bioinformatics algorithms and systems; feature selection;

Recurrent Neural Networks

Recurrent Neural Networks
  • Author : Amit Kumar Tyagi,Ajith Abraham
  • Publisher : CRC Press
  • Release Date : 2022-08-08
  • ISBN : 9781000626179
GET THIS BOOKRecurrent Neural Networks

The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neural networks. It discusses important topics including recurrent and folding networks, long short-term memory (LSTM) networks, gated recurrent unit neural networks, language modeling, neural network model, activation function, feed-forward network, learning algorithm, neural turning machines, and approximation ability. The text discusses diverse applications in areas including air pollutant modeling and prediction, attractor discovery and chaos, ECG signal processing, and

Advances in Computational Intelligence Systems

Advances in Computational Intelligence Systems
  • Author : Zhaojie Ju,Longzhi Yang,Chenguang Yang,Alexander Gegov,Dalin Zhou
  • Publisher : Springer Nature
  • Release Date : 2019-08-29
  • ISBN : 9783030299330
GET THIS BOOKAdvances in Computational Intelligence Systems

This book highlights the latest research in computational intelligence and its applications. It covers both conventional and trending approaches in individual chapters on Fuzzy Systems, Intelligence in Robotics, Deep Learning Approaches, Optimization and Classification, Detection, Inference and Prediction, Hybrid Methods, Emerging Intelligence, Intelligent Health Care, and Engineering Data- and Model-Driven Applications. All chapters are based on peer-reviewed contributions presented at the 19th Annual UK Workshop on Computational Intelligence, held in Portsmouth, UK, on 4–6 September 2019. The book offers a valuable reference

Bio-inspired Computing: Theories and Applications

Bio-inspired Computing: Theories and Applications
  • Author : Linqiang Pan,Jing Liang,Boyang Qu
  • Publisher : Springer Nature
  • Release Date : 2020-04-01
  • ISBN : 9789811534256
GET THIS BOOKBio-inspired Computing: Theories and Applications

​This two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, held in Zhengzhou, China, in November 2019. The 121 full papers presented in both volumes were selected from 197 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; ​bioinformatics and systems biology; complex networks; DNA and molecular computing; neural networks and articial intelligence.

Computational Intelligence and Its Applications in Healthcare

Computational Intelligence and Its Applications in Healthcare
  • Author : Jitendra Kumar Verma,Sudip Paul,Prashant Johri
  • Publisher : Academic Press
  • Release Date : 2020-08-01
  • ISBN : 9780128206195
GET THIS BOOKComputational Intelligence and Its Applications in Healthcare

Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, user acceptance analysis, pictures archiving, and communication systems. Computational intelligence is the study of the design of intelligent agents, which are systems that act intelligently: they do what they think are appropriate for their circumstances and goals; they're flexible to changing environments and goals; they learn from experience; and they make appropriate choices given perceptual