Parallel Computation And Computers For Artificial Intelligence
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Parallel Computation And Computers For Artificial Intelligence
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Author : J.S. Kowalik
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Parallel Computation And Computers For Artificial Intelligence written by J.S. Kowalik 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 2012-12-06 with Computers categories.
It has been widely recognized that artificial intelligence computations offer large potential for distributed and parallel processing. Unfortunately, not much is known about designing parallel AI algorithms and efficient, easy-to-use parallel computer architectures for AI applications. The field of parallel computation and computers for AI is in its infancy, but some significant ideas have appeared and initial practical experience has become available. The purpose of this book has been to collect in one volume contributions from several leading researchers and pioneers of AI that represent a sample of these ideas and experiences. This sample does not include all schools of thought nor contributions from all leading researchers, but it covers a relatively wide variety of views and topics and in this sense can be helpful in assessing the state ofthe art. We hope that the book will serve, at least, as a pointer to more specialized literature and that it will stimulate interest in the area of parallel AI processing. It has been a great pleasure and a privilege to cooperate with all contributors to this volume. They have my warmest thanks and gratitude. Mrs. Birgitta Knapp has assisted me in the editorial task and demonstrated a great deal of skill and patience. Janusz S. Kowalik vii INTRODUCTION Artificial intelligence (AI) computer programs can be very time-consuming.
Parallel And High Performance Computing In Artificial Intelligence
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Author : Mukesh Raghuwanshi
language : en
Publisher: CRC Press
Release Date : 2025-05-20
Parallel And High Performance Computing In Artificial Intelligence written by Mukesh Raghuwanshi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, machine learning, deep learning, healthcare, bioinformatics, natural language processing (NLP), and vision intelligence. The book’s two major themes are high-performance computing (HPC) architecture and techniques and their application in artificial intelligence. Highlights include: HPC use cases, application programming interfaces (APIs), and applications Parallelization techniques HPC for machine learning Implementation of parallel computing with AI in big data analytics HPC with AI in healthcare systems AI in industrial automation Coverage of HPC architecture and techniques includes multicore architectures, parallel-computing techniques, and APIs, as well as dependence analysis for parallel computing. The book also covers hardware acceleration techniques, including those for GPU acceleration to power big data systems. As AI is increasingly being integrated into HPC applications, the book explores emerging and practical applications in such domains as healthcare, agriculture, bioinformatics, and industrial automation. It illustrates technologies and methodologies to boost the velocity and scale of AI analysis for fast discovery. Data scientists and researchers can benefit from the book’s discussion on AI-based HPC applications that can process higher volumes of data, provide more realistic simulations, and guide more accurate predictions. The book also focuses on deep learning and edge computing methodologies with HPC and presents recent research on methodologies and applications of HPC in AI.
Parallel Computation And Computers For Artificial Intelligence Ed By Janusz S Kowalik
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Author :
language : en
Publisher:
Release Date : 1987
Parallel Computation And Computers For Artificial Intelligence Ed By Janusz S Kowalik written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.
Parallel Processing For Artificial Intelligence 3
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Author : J. Geller
language : en
Publisher: Elsevier
Release Date : 1997-02-10
Parallel Processing For Artificial Intelligence 3 written by J. Geller and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-02-10 with Computers categories.
The third in an informal series of books about parallel processing for Artificial Intelligence, this volume is based on the assumption that the computational demands of many AI tasks can be better served by parallel architectures than by the currently popular workstations. However, no assumption is made about the kind of parallelism to be used. Transputers, Connection Machines, farms of workstations, Cellular Neural Networks, Crays, and other hardware paradigms of parallelism are used by the authors of this collection.The papers arise from the areas of parallel knowledge representation, neural modeling, parallel non-monotonic reasoning, search and partitioning, constraint satisfaction, theorem proving, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is an experience report about applications of massive parallelism which can be said to capture the spirit of a whole period of computing history.This volume provides the reader with a snapshot of the state of the art in Parallel Processing for Artificial Intelligence.
Parallel Processing And Artificial Intelligence
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Author : Mike Reeve
language : en
Publisher: Wiley
Release Date : 1989-09-28
Parallel Processing And Artificial Intelligence written by Mike Reeve and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-09-28 with Computers categories.
Comprises papers based on an international conference held at Imperial College, London, July 1989. Topics covered include neural networks, robotics, image understanding, parallel implementations of logic languages, and parallel implementation of Lisp. Many of the papers here detail use of the INMOS transputer, and the Communicating Process Architecture on which INMOS was founded. But the theme is application of parallelism in a general way, especially in artificial intelligence.
Natural And Artificial Parallel Computation
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Author : Michael A. Arbib
language : en
Publisher: Mit Press
Release Date : 1990
Natural And Artificial Parallel Computation written by Michael A. Arbib and has been published by Mit Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
These eleven contributions by leaders in the fields of neuroscience, artificial intelligence, and cognitive science cover the phenomenon of parallelism in both natural and artificial systems, from the neural architecture of the human brain to the electronic architecture of parallel computers.The brain's complex neural architecture not only supports higher mental processes, such as learning, perception, and thought, but also supervises the body's basic physiological operating system and oversees its emergency services of damage control and self-repair. By combining sound empirical observation with elegant theoretical modeling, neuroscientists are rapidly developing a detailed and convincing account of the organization and the functioning of this natural, living parallel machine. At the same time, computer scientists and engineers are devising imaginative parallel computing machines and the programming languages and techniques necessary to use them to create superb new experimental instruments for the study of all parallel systems.Michael A. Arbib is Professor of Computer Science, Neurobiology, and Physiology at the University of Southern California. J. Alan Robinson is University Professor at Syracuse University.Contents: Natural and Artificial Parallel Computation, M. A. Arbib, J. A. Robinson. The Evolution of Computing, R. E. Gomory. The Nature of Parallel Programming, P. Brinch Hansen. Toward General Purpose Parallel Computers, D. May. Applications of Parallel Supercomputers, G. E. Fox. Cooperative Computation in Brains and Computers, M. A. Arbib. Parallel Processing in the Primate Cortex, P. Goldman-Rakic. Neural Darwinism, G. M. Edelman, G. N. Reeke, Jr. How the Brain Rewires Itself, M. Merzenich. Memory-Based Reasoning, D. Waltz. Natural and Artificial Reasoning, J. A. Robinson.
Parallel Processing For Supercomputers And Artificial Intelligence
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Author : Kai Hwang
language : en
Publisher: McGraw-Hill Companies
Release Date : 1989
Parallel Processing For Supercomputers And Artificial Intelligence written by Kai Hwang and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
Parallel Processing For Artificial Intelligence
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Author : Hiroaki Kitano
language : en
Publisher:
Release Date : 1994
Parallel Processing For Artificial Intelligence written by Hiroaki Kitano and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
Distributed Computing Artificial Intelligence Bioinformatics Soft Computing And Ambient Assisted Living
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Author : Sigeru Omatu
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-08
Distributed Computing Artificial Intelligence Bioinformatics Soft Computing And Ambient Assisted Living written by Sigeru Omatu 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 2009-06-08 with Computers categories.
This book constitutes the refereed proceedings of the 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, held in Salamanca, Spain in June 2009. The 167 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from over 230 submissions. The papers are organized in thematic sections on theoretical foundations and models; learning and adaptation; self-organizing networks, methods and applications; fuzzy systems; evolutionary computation and genetic algoritms; pattern recognition; formal languages in linguistics; agents and multi-agent on intelligent systems; brain-computer interfaces (bci); multiobjetive optimization; robotics; bioinformatics; biomedical applications; ambient assisted living (aal) and ambient intelligence (ai); other applications.
Parallel Processing For Artificial Intelligence 1
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Author : L.N. Kanal
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Parallel Processing For Artificial Intelligence 1 written by L.N. Kanal and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge representation in semantic networks, production rules, mechanization of logic, constraint satisfaction, parsing of natural language, data filtering and data mining. The publication is divided into six sections. The first addresses parallel computing for processing and understanding images. The second discusses parallel processing for semantic networks, which are widely used means for representing knowledge - methods which enable efficient and flexible processing of semantic networks are expected to have high utility for building large-scale knowledge-based systems. The third section explores the automatic parallel execution of production systems, which are used extensively in building rule-based expert systems - systems containing large numbers of rules are slow to execute and can significantly benefit from automatic parallel execution. The exploitation of parallelism for the mechanization of logic is dealt with in the fourth section. While sequential control aspects pose problems for the parallelization of production systems, logic has a purely declarative interpretation which does not demand a particular evaluation strategy. In this area, therefore, very large search spaces provide significant potential for parallelism. In particular, this is true for automated theorem proving. The fifth section considers the problem of constraint satisfaction, which is a useful abstraction of a number of important problems in AI and other fields of computer science. It also discusses the technique of consistent labeling as a preprocessing step in the constraint satisfaction problem. Section VI consists of two articles, each on a different, important topic. The first discusses parallel formulation for the Tree Adjoining Grammar (TAG), which is a powerful formalism for describing natural languages. The second examines the suitability of a parallel programming paradigm called Linda, for solving problems in artificial intelligence.Each of the areas discussed in the book holds many open problems, but it is believed that parallel processing will form a key ingredient in achieving at least partial solutions. It is hoped that the contributions, sourced from experts around the world, will inspire readers to take on these challenging areas of inquiry.