Thinking Machines – Neural Networks and Hardware Implementation Books
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Thinking Machines
- Author : Shigeyuki Takano
- Publisher : Academic Press
- Release : 2021-03-27
- ISBN : 9780128182802
- Language : En, Es, Fr & De
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
Thinking Machines
- Author : Luke Dormehl
- Publisher : Random House
- Release : 2016-08-11
- ISBN : 9780753556740
- Language : En, Es, Fr & De
2016 marks the 60-year anniversary of the phrase 'Artificial Intelligence' and in this fascinating book, Luke Dormehl charts the weird and wonderful journey of one of mankind's greatest projects, the creation of Thinking Machines. This is a story of how what it means to be human in the face of accelerating machine intelligence. It's about trying to make computers that are smarter than we are, and what happens when it goes wrong. About what creativity means when all knowledge is data that can be stored on microchips. Or about what happens when machines can learn from their mistakes much faster than humans can. And above all, it's about the dazzling future around the corner, how our lives might just change forever, and whether you and I aren't just thinking machines of a sort as well.
The Promise of Neural Networks
- Author : J.G. Taylor
- Publisher : Springer Science & Business Media
- Release : 2012-12-06
- ISBN : 9781447103950
- Language : En, Es, Fr & De
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
- Author : David H. Freedman
- Publisher : Simon and Schuster
- Release : 2010-06-15
- ISBN : 1439142793
- Language : En, Es, Fr & De
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
- Author : Emile Fiesler
- Publisher : CRC Press
- Release : 2020-01-15
- ISBN : 9781420050646
- Language : En, Es, Fr & De
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