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Artificial Intelligence: A Guide for Thinking Humans

Artificial Intelligence: A Guide for Thinking Humans

Artificial Intelligence: A Guide for Thinking Humans
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Artificial Intelligence: A Guide for Thinking Humans Hardback -

by Mitchell, Melanie

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Farrar, Straus and Giroux. Used - Good. . . All orders guaranteed and ship within 24 hours. Your purchase supports More Than Words, a nonprofit job training program for youth, empowering youth to take charge of their lives by taking charge of a business.
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Details

  • Title Artificial Intelligence: A Guide for Thinking Humans
  • Author Mitchell, Melanie
  • Binding Hardback
  • Condition Used - Good
  • Pages 336
  • Volumes 1
  • Language ENG
  • Publisher Farrar, Straus and Giroux
  • Illustrated Yes
  • Bookseller's Inventory # WAL-F-2g-002707
  • ISBN 9780374257835 / 0374257833
  • Weight 1.19 lbs (0.54 kg)
  • Dimensions 9.37 x 6.31 x 1.17 in (23.80 x 16.03 x 2.97 cm)
  • Category Sociology
  • Library of Congress subjects Artificial intelligence, Machine learning
  • Library of Congress Catalogue Number 2019011197
  • Dewey Decimal Code 006.3

About More Than Words Inc. Massachusetts, United States

Biblio member since 2016

More Than Words empowers youth who are in foster care, court-involved, homeless or out of school to take charge of their lives by taking charge of a business. MTW believes that when system-involved youth are challenged with authentic and increasing responsibilities in a business setting, and are given high expectations and a culture of support, they can and will address personal barriers to success, create concrete action plans for their lives, and become contributing members of society. More Than Words began as an online bookselling training program for youth in DCF custody in 2004 and opened its vibrant bookstore on Moody St in Waltham in 2005 and added its Starbucks coffee bar in 2008. MTW replicated its model in the South End of Boston in 2011, thereby doubling the number of youth served annually.

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Reader reviews for Artificial Intelligence: A Guide for Thinking Humans

From the publisher

Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world

No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI's turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent--really--are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize-winning author of the modern classic Gdel, Escher, Bach, who explains why he is "terrified" about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go.

Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell's humor and personal observations. This frank, lively book is an indispensable guide to understanding today's AI, its quest for "human-level" intelligence, and its impact on the future for us all.

About the author

Melanie Mitchell has a PhD in computer science from the University of Michigan, where she studied with the cognitive scientist and writer Douglas Hofstadter; together, they created the Copycat program, which makes creative analogies in an idealized world. The author and editor of six books and numerous scholarly papers, she is currently a professor of computer science at Portland State University and an external professor at the Santa Fe Institute.
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