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al network types. (Other Great Old =en are Jeff Dean, from MIT, currently leading an Al team at Google, =ndrew Ng, who went from Stanford to Baidu, Peter Norvig: Google, and =tuart Russel.) Generally, the current generation of Al folks do not tend to big =niversal scholars (like Minsky and Chomsky). People t
He =s a computational physicist working at MIT. Some interesting folks in the Al community (I met many of them at the =IPS conference in Montreal): Demis Hassabis is the one who started =eepMind, and he has ideas beyond Deep Learning. The god fathers of the =ield are currently Geoff Hinton, Yann LeCun and Yos
the game, and in some cases it finds a loophole that it exploits to gain infinitely many points without actually winning the race. Stuart Russell and Peter Norvig give a beautiful example in their book Artificial Intelligence: A Modern Approach: rewarding a vacuuming robot for how much dust it sucks in results
closely, something that is happening already. Some of today’s greatest exponents of machine learning—such as Geoffrey Hinton, Zoubin Ghahramani, and Demis Hassabis—have backgrounds in cognitive neuroscience, and their success has been at least in part due to attempts to model brainlike behavior in their algorith
the game, and in some cases it finds a loophole that it exploits to gain infinitely many points without actually winning the race. Stuart Russell and Peter Norvig give a beautiful example in their book Artificial Intelligence: A Modern Approach: rewarding a vacuuming robot for how much dust it sucks in results
closely, something that is happening already. Some of today’s greatest exponents of machine learning—such as Geoffrey Hinton, Zoubin Ghahramani, and Demis Hassabis—have backgrounds in cognitive neuroscience, and their success has been at least in part due to attempts to model brainlike behavior in their algorith
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