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Artificial Intelligence

A Guide for Thinking Humans

Paperback Engels 2020 9780241404836
Verkooppositie 2866
Nog niet verschenen, verschijningsdatum onbekend
15,82

Samenvatting

'If you think you understand AI and all of the related issues, you don't. By the time you finish this exceptionally lucid and riveting book you will breathe more easily and wisely' - Michael GazzanigaA leading computer scientist brings human sense to the AI bubbleNo recent scientific enterprise has been so alluring, terrifying and filled with extravagant promise and frustrating setbacks as artificial intelligence. Writing with clarity and passion, leading AI researcher Melanie Mitchell offers a captivating account of modern-day artificial intelligence.

Flavoured with personal stories and a twist of humour, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI even requires such elusive human qualities at all. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go and what it means for all of our futures.

Specificaties

ISBN13:9780241404836
Taal:Engels
Bindwijze:paperback
Aantal pagina's:419
Uitgever:Penguin Books
Druk:1
Verschijningsdatum:24-10-2020
Hoofdrubriek:IT-management / ICT

Over Melanie Mitchell

Melanie Mitchell is a professor of Computer Science at Portland State University and External Professor at the Santa Fe Institute. She is the author of An Introduction to Genetic Algorithms and Complexity: A Guided Tour, which won the 2010 Phi Beta Kappa Science Book Award.

Andere boeken door Melanie Mitchell

Inhoudsopgave

Prologue: Terrified

Part one: Background
1 The roots of Artificial Intelligence
2 Neural networks and the ascent of Machine Learning
3 AI Spring

Part two: Looking and seeing
4 Who, what, when, where, why
5 ConvNets and ImageNet
6 A closer look at machines that learn
7 On trustworthy and ethical AI

Part three: Learning to play
8 Rewards for robots
9 Game on
10 Beyond games

Part four: Artificial Intelligence meets natural language
11 Words, and the Company They Keep
12 Translation as encoding and decoding
13 Ask me anything

Part five: The barrier of meaning
14 On understanding
15 Knowledge, abstraction and analogy in Artificial Intelligence
16 Questions, answers and speculations

Notes
Illustration credits
Acknowledgements
Index

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