Machines that Think
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.
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Machines that Think
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.
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Machines that Think

Machines that Think

by New Scientist
Machines that Think

Machines that Think

by New Scientist

Paperback

$14.95 
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Overview

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.

Product Details

ISBN-13: 9781529381955
Publisher: Mobius
Publication date: 07/12/2022
Pages: 224
Product dimensions: 5.00(w) x 7.70(h) x 0.60(d)

About the Author

Since the first magazine was published in 1956, New Scientist has established a world-beating reputation for exploring and uncovering the latest developments and discoveries in science and technology, placing them in context and exploring what they mean for the future.

Each week through a variety of different channels, including print, online, social media and more, New Scientist reaches over four million highly engaged readers - over a million readers for the print magazine alone.

Table of Contents

Series introduction vii

Contributors ix

Introduction xiii

1 In our image: The challenge of creating intelligent machines 1

2 Machines that learn: The mechanics of artificial minds 25

3 Anything you can do: How AI is outsmarting humans 69

4 Matters of life and death: Driverless cars, AI doctors and killer robots 103

5 Into the unknown: How computers may overcome the limitations of the human mind 133

6 Machines that create: The AI world of art and storytelling 155

7 The real risks of AI: Why fears of an apocalypse are overblown 187

8 Will machines inherit the Earth? How super intelligent machines might revolutionize our world 209

Conclusion 247

Fifty ideas 249

Glossary 263

Picture credits 264

Index 265

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