December 4, 2020

Download Ebook Free Thinking Machines – Neural Networks And Hardware Implementation

Thinking Machines

Thinking Machines
Author : Shigeyuki Takano
Publisher : Academic Press
Release Date : 2021-03-15
Category : Computers
Total pages :200
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Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples of machine learning hardware and basic knowledge of machine learning in general, but also the main issues involved in its implementation. Readers will learn what is required for the design of machine learning hardware for neuromorphic computing and/or neural networks. This is a recommended book for those who have basic knowledge of machine learning or those who want to learn more about the current trends of machine learning. Presents a clear understanding of various available machine learning hardware accelerator solutions that can be applied to selected machine learning algorithms Offers key insights into the development of hardware, from algorithms, software, logic circuits, to hardware accelerators Introduces the baseline characteristics of deep neural network models that should be treated by hardware as well Presents readers with a thorough review of past research and products, explaining how to design through ASIC and FPGA approaches for target machine learning models Surveys current trends and models in neuromorphic computing and neural network hardware architectures Outlines the strategy for advanced hardware development through the example of deep learning accelerators

The Promise of Neural Networks

The Promise of Neural Networks
Author : J.G. Taylor
Publisher : Springer Science & Business Media
Release Date : 2012-12-06
Category : Computers
Total pages :160
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This book is the product of a 15-month intensive investigation of the European artificial network scene, together with a view of the broader framework of the subject in a world context. It could not have been completed in such a remarkably short time, and so effectively, without the dedicated efforts of Louise Turner, the DEANNA secretary, and Geoff Chappell, the DEANNA researcher, at the Centre for Neural Networks, King's College, London. I would like to take this opportunity to thank them for their heroic efforts. I would also like to thank my colleagues in the Centre and in the Mathematics Department, especially Mark Plumbley, Michael Reiss and Trevor Clarkson for all their help and encouragement, Denise Gorse of University College London, for allowing use of her lecture notes as a basis for the tutorial and the DEANNA partners for the part they played. Finally I would like to acknowledge the European Community support, and especially Mike Coyle for his trenchant comments during the carrying out of the work. March 1993 J. G. Taylor CONTENTS PART I: SETTING THE SCENE Chapter 1: DEANNA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1 . 1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 . 2 The Geographical Dimension. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1 1. 3 The Industrial Dimension. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1 . 4 The Plan for Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Chapter 2: Neural Net Demonstrators. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2. 1 The Status of Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2. 2 Reasons for the Employment of Neural Networks . . . . . . . . . . . . . . . . . . . 9 2. 3 Neural Network Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2. 4 Areas of Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2. 5 Typical Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Brainmakers: How Scientists Moving Beyond Computers Create Rival to Humn Brain

Brainmakers: How Scientists Moving Beyond Computers Create Rival to Humn Brain
Author : David H. Freedman
Publisher : Simon and Schuster
Release Date : 2010-06-15
Category : Science
Total pages :224
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A fascinating tour behind the scenes at laboratories around the world as top researchers race to create revolutionary "thinking machines" that may one day lead to a new form of intelligence. Join David Freedman as he takes you on a fascinating tour behind the scenes at laboratories around the world as top researchers race to create revolutionary "thinking machines" that may one day lead to a new form of intelligence. The subject of fantasy and skepticism for centuries—from William James's mechanical bride to 2001's Hal to Star Wars' R2D2—artificial intelligence has been limited to number-crunching computers that are "smart" only in highly specific domains like chess—until now. Brainmakers is an eye-opening, mind-expanding, and mind-blowing journey through laboratories engaged in cutting-edge research into neuroscience and robotics. Inside, you'll discover: MIT's Attila, a 3.6-pound, six-legged robot that learns as it interacts with its surroundings. Japan's efforts to grow brain cells on chips and construct a "wiring diagram" of the human brain. UCLA's "robot farm," where robots will be "bred" for intelligence. In exciting yet accessible detail, Freedman shows how this research has moved into a new realm that transcends computer science, combining neuroscience, microbiology, evolutionary biology, and zoology. Modeled after natural rather than artificial intelligence, thinking machines may soon develop powers that rival—or exceed—those of the human brain.

Handbook of Neural Computation

Handbook of Neural Computation
Author : Emile Fiesler,Russell Beale
Publisher : CRC Press
Release Date : 2020-01-15
Category : Computers
Total pages :436
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The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports
Author : Anonim
Publisher : Unknown
Release Date : 1992
Category : Aeronautics
Total pages :129
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STAR

STAR
Author : Anonim
Publisher : Unknown
Release Date : 1990-06
Category : Aeronautics
Total pages :129
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Turing’s Connectionism

Turing’s Connectionism
Author : Christof Teuscher
Publisher : Springer Science & Business Media
Release Date : 2012-12-06
Category : Computers
Total pages :200
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Christof Teuscher revives, analyzes, and simulates Turing's ideas, applying them to different types of problems, and building and training Turing's machines using evolutionary algorithms. In a little known paper entitled 'Intelligent Machinery' Turing investigated connectionist networks, but his work was dismissed as a 'schoolboy essay'and it was left unpublished until 1968, 14 years after his death. This is not a book about today's (classical) neural networks, but about the neuron network-like structures proposed by Turing. One of its novel features is that it actually goes beyond Turing's ideas by proposing new machines. The book also contains a Foreward by B. Jack Copeland and D. Proudfoot.

Neural Networks Theory, Technology, and Applications

Neural Networks Theory, Technology, and Applications
Author : Patrick K. Simpson
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1996
Category : Computers
Total pages :943
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Artificial Neural Networks

Artificial Neural Networks
Author : Robert J. Schalkoff
Publisher : McGraw-Hill Science, Engineering & Mathematics
Release Date : 1997
Category : Computers
Total pages :422
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While the primary objective of the text is to provide a teaching tool, practicing engineers and scientists are likely to find the clear, concept-based treatment useful in updating their backgrounds.

1993 IEEE International Conference on Neural Networks, San Francisco, California, March 28-April 1, 1993

1993 IEEE International Conference on Neural Networks, San Francisco, California, March 28-April 1, 1993
Author : Anonim
Publisher : Unknown
Release Date : 1993
Category : Neural circuitry
Total pages :1983
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Thinking in Complexity

Thinking in Complexity
Author : Klaus Mainzer
Publisher : Springer Science & Business Media
Release Date : 2007-09-07
Category : Science
Total pages :482
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This new edition also treats smart materials and artificial life. A new chapter on information and computational dynamics takes up many recent discussions in the community.

Artificial Neural Networks

Artificial Neural Networks
Author : Edgar Sánchez-Sinencio,Clifford Lau
Publisher : IEEE
Release Date : 1992
Category : Technology & Engineering
Total pages :549
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Applications of artificial neural networks II

Applications of artificial neural networks II
Author : Steven K. Rogers,Society of Photo-optical Instrumentation Engineers,International Neural Network Society
Publisher : Unknown
Release Date : 1991
Category : Computer networks
Total pages :854
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Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author : Grigoris Antoniou,George Potamias,Costas Spyropoulos,Dimitris Plexousakis
Publisher : Springer Science & Business Media
Release Date : 2006-05-11
Category : Computers
Total pages :611
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This book constitutes the refereed proceedings of the 4th Hellenic Conference on Artificial Intelligence, SETN 2006, held at Heraklion, Crete, Greece in May 2006. The 43 revised full papers and extended abstracts of 34 revised short papers presented together with 2 invited contributions address many areas of artificial intelligence; particular fields of interest include: logic programming, knowledge-based systems, intelligent information retrieval, machine learning, neural nets, genetic algorithms, and more.

Artificial Intelligence Abstracts

Artificial Intelligence Abstracts
Author : Anonim
Publisher : Unknown
Release Date : 1991
Category : Artificial intelligence
Total pages :129
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