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ne article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual. That way of programming is changing dramatically. After a long hiatus, the power of machine learning has taken off. Much of th
, we programmed computers using algorithms we understood at least in principle. So when machines did amazing things like beating world chess champion Garry Kasparov, we could say that the victorious programs were designed with algorithms based on our own understanding—using, in this instance, the experience and a
. “L. Schulz, “The origins of Inquiry: Inductive inference and exploration in early childhood,” Trends Cog. Sci., 16:7, 382-89 (2012). 4 A. Gopnik, Zhe Gardener and the Carpenter (New York: Farrar, Straus & Giroux, 2016), chaps. 4 and 5. 157 HOUSE_OVERSIGHT_016960 paradox of learning, the best artificial i
ne article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual. That way of programming is changing dramatically. After a long hiatus, the power of machine learning has taken off. Much of th
, we programmed computers using algorithms we understood at least in principle. So when machines did amazing things like beating world chess champion Garry Kasparov, we could say that the victorious programs were designed with algorithms based on our own understanding—using, in this instance, the experience and a
. “L. Schulz, “The origins of Inquiry: Inductive inference and exploration in early childhood,” Trends Cog. Sci., 16:7, 382-89 (2012). 4 A. Gopnik, Zhe Gardener and the Carpenter (New York: Farrar, Straus & Giroux, 2016), chaps. 4 and 5. 157 HOUSE_OVERSIGHT_016377 paradox of learning, the best artificial i
a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016823 powerful room-cleaning robot was a Roomba, which moved around vacuuming at random and squeake
e global fab lab network. Alison Gopnik is a developmental psychologist at UC Berkeley; her books include The Philosophical Baby and, most recently, Zhe Gardener and the Carpenter: What the New Science of Child Development Tells Us About the Relationship Between Parents and Children. HOUSE_OVERSIGHT_016805 T
a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016240 powerful room-cleaning robot was a Roomba, which moved around vacuuming at random and squeake
e global fab lab network. Alison Gopnik is a developmental psychologist at UC Berkeley; her books include The Philosophical Baby and, most recently, Zhe Gardener and the Carpenter: What the New Science of Child Development Tells Us About the Relationship Between Parents and Children. HOUSE_OVERSIGHT_016222 T
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