Successful Neural Network Parallel Computing

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Neural Network Parallel Computing

Author : Yoshiyasu Takefuji
Publisher : Springer Science & Business Media
ISBN 13 : 9780792391906
Total Pages : 254 pages
Book Rating : 4.3/5 (919 download)

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Book Synopsis Neural Network Parallel Computing by : Yoshiyasu Takefuji

Download or read book Neural Network Parallel Computing written by Yoshiyasu Takefuji and published by Springer Science & Business Media. This book was released on 1992-01-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, computer aided design for VLSI circuits, molecular biology, management science, and operations research. The goal of the book is to facilitate an understanding as to the uses of neural network models in real-world applications. Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling. Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.

Success in Evolutionary Computation

Author : Yin Shan
Publisher : Springer Science & Business Media
ISBN 13 : 354076285X
Total Pages : 372 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Success in Evolutionary Computation by : Yin Shan

Download or read book Success in Evolutionary Computation written by Yin Shan and published by Springer Science & Business Media. This book was released on 2008-02-29 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large number of domains. EC includes a number of techniques, such as Genetic Algorithms, Genetic Programming, Evolution Strategy and Evolutionary Programming, which have been used in a diverse range of highly successful applications. This book brings together some of these EC applications in fields including electronics, telecommunications, health, bioinformatics, supply chain and other engineering domains, to give the audience, including both EC researchers and practitioners, a glimpse of this exciting rapidly evolving field.

Opportunities and Constraints of Parallel Computing

Author : Jorge L.C. Sanz
Publisher : Springer Science & Business Media
ISBN 13 : 1461396689
Total Pages : 153 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Opportunities and Constraints of Parallel Computing by : Jorge L.C. Sanz

Download or read book Opportunities and Constraints of Parallel Computing written by Jorge L.C. Sanz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the initiative of the IBM Almaden Research Center and the National Science Foundation, a workshop on "Opportunities and Constraints of Parallel Computing" was held in San Jose, California, on December 5-6, 1988. The Steering Committee of the workshop consisted of Prof. R. Karp (University of California at Berkeley), Prof. L. Snyder (University of Washington at Seattle), and Dr. J. L. C. Sanz (IBM Almaden Research Center). This workshop was intended to provide a vehicle for interaction for people in the technical community actively engaged in research on parallel computing. One major focus of the workshop was massive parallelism, covering theory and models of computing, algorithm design and analysis, routing architectures and interconnection networks, languages, and application requirements. More conventional issues involving the design and use of parallel computers with a few dozen processors were not addressed at the meeting. A driving force behind the realization of this workshop was the need for interaction between theoreticians and practitioners of parallel computation. Therefore, a group of selected participants from the theory community was invited to attend, together with well-known colleagues actively involved in parallelism from national laboratories, government agencies, and industry.

Algorithms And Architectures For Parallel Processing - Proceedings Of The 1997 3rd International Conference

Author : Andrzej Marian Goscinski
Publisher : World Scientific
ISBN 13 : 9814545341
Total Pages : 792 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Algorithms And Architectures For Parallel Processing - Proceedings Of The 1997 3rd International Conference by : Andrzej Marian Goscinski

Download or read book Algorithms And Architectures For Parallel Processing - Proceedings Of The 1997 3rd International Conference written by Andrzej Marian Goscinski and published by World Scientific. This book was released on 1997-11-15 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: The IEEE Third International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP-97) will be held in Melbourne, Australia from December 8th to 12th, 1997. The purpose of this important conference is to bring together developers and researchers from universities, industry and government to advance science and technology in distributed and parallel systems and processing.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Author : Robert Kozma
Publisher : Academic Press
ISBN 13 : 0323958168
Total Pages : 398 pages
Book Rating : 4.3/5 (239 download)

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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 and published by Academic Press. This book was released on 2023-10-11 with total page 398 pages. 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

Efficient Processing of Deep Neural Networks

Author : Vivienne Sze
Publisher : Springer Nature
ISBN 13 : 3031017668
Total Pages : 254 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Efficient Processing of Deep Neural Networks by : Vivienne Sze

Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.

The Relevance of the Time Domain to Neural Network Models

Author : A. Ravishankar Rao
Publisher : Springer Science & Business Media
ISBN 13 : 1461407249
Total Pages : 234 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis The Relevance of the Time Domain to Neural Network Models by : A. Ravishankar Rao

Download or read book The Relevance of the Time Domain to Neural Network Models written by A. Ravishankar Rao and published by Springer Science & Business Media. This book was released on 2011-09-18 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: A significant amount of effort in neural modeling is directed towards understanding the representation of information in various parts of the brain, such as cortical maps [6], and the paths along which sensory information is processed. Though the time domain is integral an integral aspect of the functioning of biological systems, it has proven very challenging to incorporate the time domain effectively in neural network models. A promising path that is being explored is to study the importance of synchronization in biological systems. Synchronization plays a critical role in the interactions between neurons in the brain, giving rise to perceptual phenomena, and explaining multiple effects such as visual contour integration, and the separation of superposed inputs. The purpose of this book is to provide a unified view of how the time domain can be effectively employed in neural network models. A first direction to consider is to deploy oscillators that model temporal firing patterns of a neuron or a group of neurons. There is a growing body of research on the use of oscillatory neural networks, and their ability to synchronize under the right conditions. Such networks of synchronizing elements have been shown to be effective in image processing and segmentation tasks, and also in solving the binding problem, which is of great significance in the field of neuroscience. The oscillatory neural models can be employed at multiple scales of abstraction, ranging from individual neurons, to groups of neurons using Wilson-Cowan modeling techniques and eventually to the behavior of entire brain regions as revealed in oscillations observed in EEG recordings. A second interesting direction to consider is to understand the effect of different neural network topologies on their ability to create the desired synchronization. A third direction of interest is the extraction of temporal signaling patterns from brain imaging data such as EEG and fMRI. Hence this Special Session is of emerging interest in the brain sciences, as imaging techniques are able to resolve sufficient temporal detail to provide an insight into how the time domain is deployed in cognitive function. The following broad topics will be covered in the book: Synchronization, phase-locking behavior, image processing, image segmentation, temporal pattern analysis, EEG analysis, fMRI analyis, network topology and synchronizability, cortical interactions involving synchronization, and oscillatory neural networks. This book will benefit readers interested in the topics of computational neuroscience, applying neural network models to understand brain function, extracting temporal information from brain imaging data, and emerging techniques for image segmentation using oscillatory networks

Feed-Forward Neural Networks

Author : Jouke Annema
Publisher : Springer Science & Business Media
ISBN 13 : 1461523370
Total Pages : 248 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Feed-Forward Neural Networks by : Jouke Annema

Download or read book Feed-Forward Neural Networks written by Jouke Annema and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses some other recent alternative algorithms for hardware implemented perception-like neural networks. The method permits a simple analysis of the learning behaviour of neural networks, allowing specifications for their building blocks to be readily obtained. Starting with the derivation of a specification and ending with its hardware implementation, analog hard-wired, feed-forward neural networks with on-chip back-propagation learning are designed in their entirety. On-chip learning is necessary in circumstances where fixed weight configurations cannot be used. It is also useful for the elimination of most mis-matches and parameter tolerances that occur in hard-wired neural network chips. Fully analog neural networks have several advantages over other implementations: low chip area, low power consumption, and high speed operation. Feed-Forward Neural Networks is an excellent source of reference and may be used as a text for advanced courses.

Computational Intelligence for Remote Sensing

Author : Manuel Grana
Publisher : Springer Science & Business Media
ISBN 13 : 3540793526
Total Pages : 397 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence for Remote Sensing by : Manuel Grana

Download or read book Computational Intelligence for Remote Sensing written by Manuel Grana and published by Springer Science & Business Media. This book was released on 2008-06-05 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. It is the general consensus that classification, its related data processing, and global optimization methods are core topics of Computational Intelligence. Much of the content of the book is devoted to image segmentation and recognition, using diverse tools from different areas of the Computational Intelligence field, ranging from Artificial Neural Networks to Markov Random Field modeling. The book covers a broad range of topics, starting from the hardware design of hyperspectral sensors, and data handling problems, namely data compression and watermarking issues, as well as autonomous web services. The main contents of the book are devoted to image analysis and efficient (parallel) implementations of these analysis techniques. The classes of images dealt with throughout the book are mostly multispectral-hyperspectral images, though there are some instances of processing Synthetic Aperture Radar images.

Speed Neural Network: A Formula Handbook

Author : N.B. Singh
Publisher : N.B. Singh
ISBN 13 :
Total Pages : 113 pages
Book Rating : 4./5 ( download)

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Book Synopsis Speed Neural Network: A Formula Handbook by : N.B. Singh

Download or read book Speed Neural Network: A Formula Handbook written by N.B. Singh and published by N.B. Singh. This book was released on with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Speed Neural Network: A Formula Handbook" is a compact yet comprehensive resource designed to aid both beginners and experts in understanding and implementing neural networks efficiently. Packed with essential formulas and techniques, this handbook covers topics such as network architecture, activation functions, optimization algorithms, and training methodologies. Whether you're a data scientist, researcher, or enthusiast, this book provides quick access to the tools and insights needed to build and optimize neural networks for a variety of tasks, making it an indispensable companion in the realm of machine learning and artificial intelligence.

Parallel Computing

Author : M. R. Bhujade
Publisher : New Age International
ISBN 13 : 8122423876
Total Pages : 42 pages
Book Rating : 4.1/5 (224 download)

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Book Synopsis Parallel Computing by : M. R. Bhujade

Download or read book Parallel Computing written by M. R. Bhujade and published by New Age International. This book was released on 2009 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning and Parallel Computing Environment for Bioengineering Systems

Author : Arun Kumar Sangaiah
Publisher : Academic Press
ISBN 13 : 0128172932
Total Pages : 282 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Deep Learning and Parallel Computing Environment for Bioengineering Systems by : Arun Kumar Sangaiah

Download or read book Deep Learning and Parallel Computing Environment for Bioengineering Systems written by Arun Kumar Sangaiah and published by Academic Press. This book was released on 2019-07-26 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas. - Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems - Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems - Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data

Neural Networks and Systolic Array Design

Author : Sankar K. Pal
Publisher : World Scientific
ISBN 13 : 981277808X
Total Pages : 421 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Neural Networks and Systolic Array Design by : Sankar K. Pal

Download or read book Neural Networks and Systolic Array Design written by Sankar K. Pal and published by World Scientific. This book was released on 2002 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.

New Secrets for Success in an AI World

Author : Terran James
Publisher : Austin Macauley Publishers
ISBN 13 : 1685624448
Total Pages : 110 pages
Book Rating : 4.6/5 (856 download)

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Book Synopsis New Secrets for Success in an AI World by : Terran James

Download or read book New Secrets for Success in an AI World written by Terran James and published by Austin Macauley Publishers. This book was released on 2024-10-11 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: ACCELERATING CHANGE IS OUR FUTURE This book examines the most pressing AI questions. What are the risks associated with AI? What is changing first: job displacement or job creation? What are the most significant benefits of AI in the short and long term? What is the timeline for AI-driven change? Who will be affected most by AI changes in the world? Who will be affected the least by AI? What opportunities lie in future changes? What does the future look like in the short, mid, and long term? What are the most significant new evolving trends in AI? What are some of the AI advancements in healthcare? What are the secrets to future success in an AI world? What is the next wave of AI start-ups? What is the simplest way to monetize AI? How is AI going to affect the financial system worldwide? How will AI affect warfare worldwide? How soon will we see AI personal companions? What is augmented eternity? And much much more…

How to Build a Brain

Author : Chris Eliasmith
Publisher : Oxford University Press
ISBN 13 : 0199794693
Total Pages : 475 pages
Book Rating : 4.1/5 (997 download)

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Book Synopsis How to Build a Brain by : Chris Eliasmith

Download or read book How to Build a Brain written by Chris Eliasmith and published by Oxford University Press. This book was released on 2013-04-16 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to Build a Brain provides a detailed exploration of a new cognitive architecture - the Semantic Pointer Architecture - that takes biological detail seriously, while addressing cognitive phenomena. Topics ranging from semantics and syntax, to neural coding and spike-timing-dependent plasticity are integrated to develop the world's largest functional brain model.

Interdisciplinary Computing in Java Programming

Author : Sun-Chong Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1461503779
Total Pages : 268 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Interdisciplinary Computing in Java Programming by : Sun-Chong Wang

Download or read book Interdisciplinary Computing in Java Programming written by Sun-Chong Wang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Books on computation in the marketplace tend to discuss the topics within specific fields. Many computational algorithms, however, share common roots. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. Interdisciplinary Computing In Java Programming Language introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researchers, writing customized codes for computation, enjoy cracking source codes as opposed to the black-box approach. Most C and Fortran programs, despite being slightly faster in program execution, lack built-in support for plotting and graphical user interface. This book selects Java as the platform where source codes are developed and applications are run, helping readers/users best appreciate the fun of computation. Interdisciplinary Computing In Java Programming Language is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text.

THOUGHTS OF AN AWARD WINNING BLIND ROBOTICIST

Author : Dr. Marco A.V. Bitetto
Publisher : Dr. Marco A. V. Bitetto
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4./5 ( download)

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Book Synopsis THOUGHTS OF AN AWARD WINNING BLIND ROBOTICIST by : Dr. Marco A.V. Bitetto

Download or read book THOUGHTS OF AN AWARD WINNING BLIND ROBOTICIST written by Dr. Marco A.V. Bitetto and published by Dr. Marco A. V. Bitetto. This book was released on 2011-01-03 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly enlightening, thought provoking and inspirational book allows the reader to look into the mind of one of sciences most amazing researchers. As this multiple award winning blind researcher pioneers research in such fields as artificial intelligence, computer animation and the science of man-machine interfaces. This book is a must read for anyone that wants to understand the nature of the technological evaluation of todays technology (this book is only available as an Adobe PDF based E-Book).