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Artificial Intelligence: If at First You Don't Succeed...

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American


CAMBRIDGE, Mass.—The last symposium in M.I.T.'s 150-day celebration of its 150th anniversary (who ever said that geeks don't like ritual?) is devoted to the question: "Whatever happened to AI?"

Of course, that is a particularly appropriate self-introspection for M.I.T. because a lot of artificial intelligence action occurred there during the past 50 years. The symposium began Tuesday night with M.I.T. neuroscientist Tomaso A. Poggio setting the tone by declaring that the problem of making an intelligent machine is still "wide open."

Okay, there has been some progress: things like Deep Blue, Watson, MobilEye, among others. But the consensus was that new "curiosity-driven basic research" is needed and that AI-related computer science  should be integrated with neuroscience and the cognitive sciences, with specialized concentrations in areas like vision, planning, language and social intelligence. "I believe that 50 years later it is the time to try again," Poggio said.


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M.I.T. has brought together a cast of heavy-weights to take on these big questions. A few gems along the way:

Nobelist Sydney Brenner: "I think consciousness will never be solved but will disappear. Fifty years from now people will look back and say, 'What did they think they were talking about?'"

AI pioneer Marvin Minsky: "Why aren't there any robots that you can send in to fix the Japanese reactors? The answer is that there was a lot of progress in robotics in the 1960s and 70s and then something went wrong."

Noam Chomsky on the purported success of statistical natural language learning methods that function by "approximating unanalyed data," while ignoring the underlying structure of language: "That's a notion of success which is novel; I don't know of anything in the history of science [like this]."  

 Image credit: MIT

 

 

 

 

 

 

 

 

 

 

 

 

 

Gary Stix, the neuroscience and psychology editor for Scientific American, edits and reports on emerging advances that have propelled brain science to the forefront of the biological sciences. Stix has edited or written cover stories, feature articles and news on diverse topics, ranging from what happens in the brain when a person is immersed in thought to the impact of brain implant technology that alleviates mood disorders like depression. Before taking over the neuroscience beat, Stix, as Scientific American's special projects editor, oversaw the magazine's annual single-topic special issues, conceiving of and producing issues on Einstein, Darwin, climate change and nanotechnology. One special issue he edited on the topic of time in all of its manifestations won a National Magazine Award. Stix is the author with his wife Miriam Lacob of a technology primer called Who Gives a Gigabyte: A Survival Guide to the Technologically Perplexed.

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