How smart machines think / Sean Gerrish ; foreward by Kevin Scott, CTO, Microsoft.

Format:

Book

Author/Creator:

Gerrish, Sean, author.

Contributor:

Scott, Kevin, 1972- writer of forward.

Language:

English

Subjects (All):

Neural networks (Computer science).

Machine learning.

Artificial intelligence.

Physical Description:

xiv, 298 pages ; 24 cm

Place of Publication:

Cambridge, MA : The MIT Press, [2018]

Summary:

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 thingswork? 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.

Contents:

1 The Secret Of The Automaton p. 1

2 Self-Driving Cars And The Darpa Grand Challenge p. 9

3 Keeping Within The Lanes: Perception In Self-Driving Cars p. 23

4 Yielding At Intersections: The Brain Of A Self-Driving Car p. 37

5 Netflix And The Recommendation-Engine Challenge p. 57

6 Ensembles Of Teams: The Netflix Prize Winners p. 73

7 Teaching Computers By Giving Them Treats p. 89

8 How To Beat Atari Games By Using Neural Networks p. 107

9 Artificial Neural Networks' View Of The World p. 125

10 Looking Under The Hood Of Deep Neural Networks p. 145

11 Neural Networks That Can Hear, Speak, And Remember p. 157

12 Understanding Natural Language (And Jeopardy! Questions) p. 171

13 Mining The Best Jeopardy! Answer p. 187

14 Brute-Force Search Your Way To A Good Strategy p. 207

15 Expert-Level Play For The Game Of Go p. 229

16 Real-Time Ai And Starcraft p. 249

17 Five Decades (Or More) From Now p. 261.

Notes:

Includes bibliographical references and index.

ISBN:

9780262038409

0262038404

OCLC:

1020297678

Publisher Number:

99978135881