Machines That Think
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Machines Who Think
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Author : Pamela McCorduck
language : en
Publisher: CRC Press
Release Date : 2004-03-17
Machines Who Think written by Pamela McCorduck and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-17 with Computers categories.
This book is a history of artificial intelligence, that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry.
How Smart Machines Think
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Author : Sean Gerrish
language : en
Publisher: MIT Press
Release Date : 2019-10-22
How Smart Machines Think written by Sean Gerrish and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-22 with Computers categories.
Everything you want to know about the breakthroughs in AI technology, machine learning, and deep learning—as seen in self-driving cars, Netflix recommendations, and more. The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM’s Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today’s machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson’s famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.
Machines That Think
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Author : Isaac Asimov
language : en
Publisher: Henry Holt
Release Date : 1984-01-01
Machines That Think written by Isaac Asimov and has been published by Henry Holt this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-01-01 with Androids categories.
Very Good,No Highlights or Markup,all pages are intact.
Thinking Machines
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Author : Luke Dormehl
language : en
Publisher: Penguin
Release Date : 2017-03-07
Thinking Machines written by Luke Dormehl and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-07 with Computers categories.
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.
Machines That Think
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Author : New Scientist
language : en
Publisher: Nicholas Brealey
Release Date : 2017-11-14
Machines That Think written by New Scientist and has been published by Nicholas Brealey this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-14 with Computers categories.
How did artificial intelligence become the most powerful technology on the planet? Sometime in the future the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of Utopia, with machines doing a far better job at complex tasks than us? You might not realize it, but you interact with AIs every day. They route your phone calls, approve your credit card transactions and help your doctor interpret results. Driverless cars will soon be on the roads with a decision-making computer in charge. But how do machines actually think and learn? In Machines That Think, AI experts and New Scientist explore how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and ask if AI is really a threat.
Brain Vs Machine
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Author : John Brockman
language : en
Publisher: Harper Perennial
Release Date : 2015-10-06
Brain Vs Machine written by John Brockman and has been published by Harper Perennial this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-06 with Science categories.
As the world becomes ever more dominated by technology, John Brockman’s latest addition to the acclaimed and bestselling “Edge Question Series” asks more than 175 leading scientists, philosophers, and artists: What do you think about machines that think? The development of artificial intelligence has been a source of fascination and anxiety ever since Alan Turing formalized the concept in 1950. Today, Stephen Hawking believes that AI “could spell the end of the human race.” At the very least, its development raises complicated moral issues with powerful real-world implications—for us and for our machines. In this volume, recording artist Brian Eno proposes that we’re already part of an AI: global civilization, or what TED curator Chris Anderson elsewhere calls the hive mind. And author Pamela McCorduck considers what drives us to pursue AI in the first place. On the existential threat posed by superintelligent machines, Steven Pinker questions the likelihood of a robot uprising. Douglas Coupland traces discomfort with human-programmed AI to deeper fears about what constitutes “humanness.” Martin Rees predicts the end of organic thinking, while Daniel C. Dennett explains why he believes the Singularity might be an urban legend. Provocative, enriching, and accessible, Brain vs. Machine may just be a practical guide to the not-so-distant future.
Giant Brains Or Machines That Think
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Author : Edmund Callis Berkeley
language : en
Publisher: Good Press
Release Date : 2023-07-10
Giant Brains Or Machines That Think written by Edmund Callis Berkeley and has been published by Good Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-10 with Fiction categories.
"Giant brains; or, Machines that think" by Edmund Callis Berkeley. Published by Good Press. Good Press publishes a wide range of titles that encompasses every genre. From well-known classics & literary fiction and non-fiction to forgotten−or yet undiscovered gems−of world literature, we issue the books that need to be read. Each Good Press edition has been meticulously edited and formatted to boost readability for all e-readers and devices. Our goal is to produce eBooks that are user-friendly and accessible to everyone in a high-quality digital format.
Thinking Machines
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Author : Shigeyuki Takano
language : en
Publisher: Academic Press
Release Date : 2021-03-27
Thinking Machines written by Shigeyuki Takano and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-27 with Computers categories.
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
Machines That Think
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Author : Don Brown
language : en
Publisher: Amulet Books
Release Date : 2020
Machines That Think written by Don Brown and has been published by Amulet Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Juvenile Nonfiction categories.
Award-winning author Don Brown explores computers and technology in book two of the Big Ideas series Machines That Think explores machines from ancient history to today that perform a multitude of tasks, from making mind-numbing calculations to working on assembly lines. Included are fascinating looks at the world's earliest calculators, the birth of computer programming, and the arrival of smartphones. Contributors discussed include Muhammad ibn Musa al-Khwarizmi, Ada Lovelace, and Bill Gates. From the abacus to artificial intelligence, machines through the ages have pushed the boundaries of human capability and creativity. Back matter includes a timeline, endnotes, a bibliography, an author's note, and an index.
Deep Thinking
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Author : Garry Kasparov
language : en
Publisher: Hachette UK
Release Date : 2017-06-01
Deep Thinking written by Garry Kasparov and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-01 with Computers categories.
In May 1997, the world watched as Garry Kasparov, the greatest chess player in the world, was defeated for the first time by the IBM supercomputer Deep Blue. It was a watershed moment in the history of technology: machine intelligence had arrived at the point where it could best human intellect. It wasn't a coincidence that Kasparov became the symbol of man's fight against the machines. Chess has long been the fulcrum in development of machine intelligence; the hoax automaton 'The Turk' in the 18th century and Alan Turing's first chess program in 1952 were two early examples of the quest for machines to think like humans -- a talent we measured by their ability to beat their creators at chess. As the pre-eminent chessmaster of the 80s and 90s, it was Kasparov's blessing and his curse to play against each generation's strongest computer champions, contributing to their development and advancing the field. Like all passionate competitors, Kasparov has taken his defeat and learned from it. He has devoted much energy to devising ways in which humans can partner with machines in order to produce results better than either can achieve alone. During the twenty years since playing Deep Blue, he's played both with and against machines, learning a great deal about our vital relationship with our most remarkable creations. Ultimately, he's become convinced that by embracing the competition between human and machine intelligence, we can spend less time worrying about being replaced and more thinking of new challenges to conquer. In this breakthrough book, Kasparov tells his side of the story of Deep Blue for the first time -- what it was like to strategize against an implacable, untiring opponent -- the mistakes he made and the reasons the odds were against him. But more than that, he tells his story of AI more generally, and how he's evolved to embrace it, taking part in an urgent debate with philosophers worried about human values, programmers creating self-learning neural networks, and engineers of cutting edge robotics.