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Artificial intelligence: a guide for thinking humans/ by Melanie Mitchell.

By: Publication details: Pelican, United Kingdom : 2019.Description: xxvi, 419 pages : illustrations (black and white) ; 18 cmISBN:
  • 9780241404836
Subject(s): DDC classification:
  • 658.812 PAR
Contents:
chapter 1. The roots of artificial intelligence -- chapter 2. Neural networks and the ascent of machine learning -- chapter 3. AI spring -- chapter 4. Who, what, when, where, why -- chapter 5. ConvNets and ImageNet -- chapter 6. A closer look at machines that learn -- chapter 7. On trustworthy and ethical AI -- chapter 8. Rewards for robots -- chapter 9. Game on -- chapter 10. Beyond games -- chapter 11. Words, and the company they keep -- chapter 12. Translation as encoding and decoding -- chapter 13. Ask me anything -- chapter 14. On understanding -- chapter 15. Knowledge, abstraction and analogy in artificial intelligence -- chapter 16. Questions, answers and speculations.
Summary: No recent scientific enterprise has been so alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. How intelligent are the best of today's AI programs? To what extent can we entrust them with decisions that affect our lives? How human-like do we expect them to become, and how soon do we need to worry about them surpassing us in most, if not all, human endeavours? From leading AI researcher and award-winning author Melanie Mitchell comes a knowledgeable and captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humor, 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 requires such elusive human qualities in order to be reliable, trustworthy, and beneficial. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible, entertaining, 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.
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chapter 1. The roots of artificial intelligence --
chapter 2. Neural networks and the ascent of machine learning --
chapter 3. AI spring --
chapter 4. Who, what, when, where, why --
chapter 5. ConvNets and ImageNet --
chapter 6. A closer look at machines that learn --
chapter 7. On trustworthy and ethical AI --
chapter 8. Rewards for robots --
chapter 9. Game on --
chapter 10. Beyond games --
chapter 11. Words, and the company they keep --
chapter 12. Translation as encoding and decoding --
chapter 13. Ask me anything --
chapter 14. On understanding --
chapter 15. Knowledge, abstraction and analogy in artificial intelligence --
chapter 16. Questions, answers and speculations.

No recent scientific enterprise has been so alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. How intelligent are the best of today's AI programs? To what extent can we entrust them with decisions that affect our lives? How human-like do we expect them to become, and how soon do we need to worry about them surpassing us in most, if not all, human endeavours? From leading AI researcher and award-winning author Melanie Mitchell comes a knowledgeable and captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humor, 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 requires such elusive human qualities in order to be reliable, trustworthy, and beneficial. Artificial Intelligence: A Guide for Thinking Humans provides readers with an accessible, entertaining, 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.

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