Thinking Machines


Thinking Machines
Author: Shigeyuki Takano
Publisher: Academic Press
ISBN: 0128182806
Size: 24.60 MB
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Thinking Machines

eBook File: Thinking-machines.PDF Book by Shigeyuki Takano, Thinking Machines Books available in PDF, EPUB, Mobi Format. Download Thinking Machines books, 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
Language: en
Pages: 322
Authors: Shigeyuki Takano
Categories: Computers
Type: BOOK - Published: 2021-03-27 - Publisher: Academic Press
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
Thinking Machines
Language: en
Pages: 288
Authors: Luke Dormehl
Categories: Computers
Type: BOOK - Published: 2017-03-07 - Publisher: Penguin
A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner. When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways, the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate. In Thinking Machines, technology journalist Luke Dormehl takes you through the history of AI and how it makes up the foundations of the machines that think for us today. Furthermore, Dormehl speculates on the incredible--and possibly terrifying--future that's much closer than many would imagine. This remarkable book will invite you to marvel at what now seems commonplace and to dream about a future in which the scope of humanity may need to broaden itself to include intelligent machines.
Thinking Machines
Language: en
Pages: 48
Authors: Isaac Asimov, Martin Harry Greenberg, Charles Waugh
Categories: Children's stories, American.
Type: BOOK - Published: 1981 - Publisher: Heinemann/Raintree
Stories suggest some unexpected results of using computers and robots in insurance, transportation, and sales
Thinking Machines
Language: en
Pages: 254
Authors: Vernon Pratt
Categories: Computers
Type: BOOK - Published: 1987 - Publisher: Wiley-Blackwell
Examines the history of the efforts of scientists to develop a machine able to think like a human being
Thinking Machines
Language: en
Pages: 208
Authors: Igor Aleksander, Piers Burnett
Categories: Artificial intelligence
Type: BOOK - Published: 1987 - Publisher: Oxford University Press, USA
Books about Thinking Machines
Thinking Machines
Language: en
Pages: 287
Authors: Niran B. Abbas, Niran Bahjat Abbas
Categories: Science
Type: BOOK - Published: 2006 - Publisher: LIT Verlag Münster
The book explores historical traces of human life within the discourse of artifical intelligence. It addresses a matrix of themes about technology and change, ranging from the realm of the inanimate to the animate. it traces the ways in which the human spirit looks beyond its limitations and ponders the potentia of "being human." Niran Bahjat-Abbas is senior lecturer in the Department of Media and Cultural Studies at Kingston University, London (UK).
Thinking Machines: Can There Be? Are We?
Language: en
Pages: 30
Authors: Terry Winograd, Center for the Study of Language and Information (U.S.)
Categories: Artificial intelligence
Type: BOOK - Published: 1987 - Publisher:
Books about Thinking Machines: Can There Be? Are We?
Rise of the Thinking Machines
Language: en
Pages: 48
Authors: Jennifer Fretland VanVoorst
Categories: Juvenile Nonfiction
Type: BOOK - Published: 2008-07-01 - Publisher: Capstone
Real-life application of the science topics studied at the middle school level, using headlines from the media to capture interest and provide the answer for "why study this?" Topics reinforce state and national standards for core science through the everyday application of concepts such as genetics, force and motion, plate tectonics, etc. Focus is on science technology and the study of science-related personal and societal challenges. Back matter includes a timeline of major events and discoveries in book’s area of science, glossary, additional resources, and index.
Science-fiction Thinking Machines
Language: en
Pages: 367
Authors: Groff Conklin
Categories: Science fiction
Type: BOOK - Published: 1954 - Publisher:
Who will inherit the earth? Will it the the mechanical men we have developed to do the world's hard work? Androids-- imitation flesh-and-blood men? Or the electronic brain, with a consciousness, even a soul?
Robots on Your Doorstep (a Book about Thinking Machines)
Language: en
Pages: 178
Authors: Nels Winkless, Iben Browning
Categories: Artificial intelligence
Type: BOOK - Published: 1978 - Publisher:
Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.