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Machines that Think: Everything you need to know about the coming age of artificial intelligence (New Scientist Instant Expert) 🔍
Heaven, Douglas, editor Boston, MA : Nicholas Brealey Publishing, Instant expert (New Scientist (Firm)), London, Boston, MA, 2017
English [en] · PDF · 11.7MB · 2017 · 📗 Book (unknown) · 🚀/ia/zlib · Save
description
xiv, 274 pages : 22 cm, 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 super-intelligent 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 realise 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 ingence helps us understand human intelligence, machines that compose music and write stories - and ask if AI is really a threat.--, Includes index, In our image : the challenge of creating intelligent machines -- Machines that learn : the mechanics of artificial minds -- Anything you can do : how AI i outsmarting humans -- Matters of life and death : driverless cars, AI doctors and killer robots -- Into the unknown : how computers may overcome the limitations of the human mind -- Machnes that create : the AI world of art and storytelling -- The real risks of AI : why fears of an apocalypse are overblown -- Will machines inherit the Earth? : how superintelligent machines might revolutionize our world, Includes bibliographical references and index
Alternative filename
ia/machinesthatthin0000unse.pdf
Alternative title
Искусственный интеллект: что стоит знать о наступающей эпохе разумных машин
Alternative title
New scientist instant expert : machines that think
Alternative author
[авторы-составители Элисон Джордж и др.]; пер. с англ. О. Д. Сайфудиновой
Alternative author
Douglas Heaven; New Scientist
Alternative author
New Scientist Staff
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Джордж, Элисон
Alternative publisher
John Murray Learning ; Nicholas Brealey Publishing, Hachette Book Group
Alternative publisher
Hodder & Stoughton General Division
Alternative publisher
Brealey Publishing, Nicholas
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John Murray Press
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Hodder Paperback
Alternative publisher
АСТ, ОГИЗ
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Quercus
Alternative publisher
Sceptre
Alternative edition
New Scientist. Лучшее от экспертов журнала, Москва, Russia, 2019
Alternative edition
New scientist's instant expert, London, Boston, 2017
Alternative edition
New scientist's instant expert, Boston, MA, 2017
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United Kingdom and Ireland, United Kingdom
Alternative edition
New scientists instant expert, uuuu
Alternative edition
01, US, 2017
Alternative edition
1, 20171114
metadata comments
cut off text on page 185 due to text are very close to the gutter
metadata comments
Пер.: Machines that Think New Scientist 978-1-4736-2965-3
metadata comments
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Alternative description
An exploration into how AI helps us to understand human intelligence, machines that write stories and compose music, in a bid to understand if AI really poses a threat. 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 realise 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. ABOUT THE SERIESNew Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context
Alternative description
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 realise 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.
ABOUT THE SERIES
New Scientist Instant Expert books are definitive and accessible entry points to the most important subjects in science; subjects that challenge, attract debate, invite controversy and engage the most enquiring minds. Designed for curious readers who want to know how things work and why, the Instant Expert series explores the topics that really matter and their impact on individuals, society, and the planet, translating the scientific complexities around us into language that's open to everyone, and putting new ideas and discoveries into perspective and context.
Alternative description
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.
date open sourced
2023-06-28
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