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Computers Sort Data More Like Humans
Now, in an advance that may impact the field of artificial intelligence, a new model developed at MIT can help computers recognize patterns the same way that humans do. The model, reported earlier this month in the Proceedings of the National Academy of Science, can analyze a set of data and figure out which type of organizational structure best fits it.
"Instead of looking for a particular kind of structure, we came up with a broader algorithm that is able to look for all of these structures and weigh them against each other," said Josh Tenenbaum, an associate professor of brain and cognitive sciences at MIT and senior author of the paper.
The model could help scientists in many fields analyze large amounts of data, and could also shed light on how the human brain discovers patterns.
The computer algorithm was developed by recent MIT PhD recipient Charles Kemp, now an assistant professor of psychology at Carnegie Mellon University, along with Tenenbaum.
Full article: http://www.sciencedaily.com/releases/2008/08/080828121652.htmThe model could help scientists in many fields analyze large amounts of data, and could also shed light on how the human brain discovers patterns.
The computer algorithm was developed by recent MIT PhD recipient Charles Kemp, now an assistant professor of psychology at Carnegie Mellon University, along with Tenenbaum.
Source: sciencedaily.com
Credit image: Courtesy of Charles Kemp