Artificial intelligence : how machine learning will shape the next decade / Matthew Burgess.

By:

Burgess, Matthew [author.]

Material type:

TextSeries: Wired guidePublisher: London : Random House Business Books, 2021Description: 202p.; 18 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781847943231 (pbk.) :

Subject(s):

Additional physical formats: ebook version :: No titleDDC classification:

006.3 23

Summary: The past decade has witnessed extraordinary advances in artificial intelligence. But what precisely is it and where does its future lie? In this brilliant, one-stop guide, WIRED journalist Matt Burgess explains everything you need to know about AI. He describes how it works. He looks at the ways in which it has already brought us everything from voice recognition software to self-driving cars, and explores its potential for further revolutionary change in almost every area of our daily lives. He examines the darker side of machine learning: its susceptibility to hacking; its tendency to discriminate against particular groups; and its potential misuse by governments. And he addresses the fundamental question: can machines become as intelligent as human beings?

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
BOOKS	KUWAIT TECHNICAL COLLEGE LIBRARY Circulation Section	Circulation	006.3 B9126 2021 (Browse shelf(Opens below))	Available	01790

The past decade has witnessed extraordinary advances in artificial intelligence. But what precisely is it and where does its future lie? In this brilliant, one-stop guide, WIRED journalist Matt Burgess explains everything you need to know about AI. He describes how it works. He looks at the ways in which it has already brought us everything from voice recognition software to self-driving cars, and explores its potential for further revolutionary change in almost every area of our daily lives. He examines the darker side of machine learning: its susceptibility to hacking; its tendency to discriminate against particular groups; and its potential misuse by governments. And he addresses the fundamental question: can machines become as intelligent as human beings?

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