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Showing posts by: Kevin Gold click to see Kevin Gold's profile
Tue
Jun 21 2011 5:05pm

When the Director of Research for Google compares one of the most highly regarded linguists of all time to Bill O’Reilly, you know it is on. Recently, Peter Norvig, Google’s Director of Research and co-author of the most popular artificial intelligence textbook in the world, wrote a webpage extensively criticizing Noam Chomsky, arguably the most influential linguist in the world. Their disagreement points to a revolution in artificial intelligence that, like many revolutions, threatens to destroy as much as it improves. Chomsky, one of the old guard, wishes for an elegant theory of intelligence and language that looks past human fallibility to try to see simple structure underneath. Norvig, meanwhile, represents the new philosophy: truth by statistics, and simplicity be damned. Disillusioned with simple models, or even Chomsky’s relatively complex models, Norvig has of late been arguing that with enough data, attempting to fit any simple model at all is pointless. The disagreement between the two men points to how the rise of the Internet poses the same challenge to artificial intelligence that it has to human intelligence: why learn anything when you can look it up?

[Read more...]

Thu
Feb 17 2011 3:39pm

Ken Jennings trounced by Watson on Jeopardy!

Last night was the thrilling conclusion to the man-machine matchup on Jeopardy!, pitting two of the best contestants ever against IBM’s contestant, Watson. As soon as I saw that one category was “One Buck or Less,” and another had a theme of keys on a keyboard, I thought, “Now this is a matchup!”

[The world reacts to Watson]

Wed
Feb 16 2011 8:06pm

Watson the AI on Jeopardy

In case you missed it the first two nights, tonight is the final human vs. machine match on Jeopardy! Watson, a question-answering AI three years in the making, has been pitted against two of the best human players of all time. And it is cleaning up.

As an AI guy, I feel a little like I’m watching the moon landing, and a little like somebody is showing embarrassing home movies.

[Why this is such a benchmark in the development of artificial intelligence]