Computer discovers trends and data structures


Clipped from: Can computers sort data like humans? | Emerging Technology Trends | ZDNet.com

According to U.S. researchers, it is possible to train computers to discover trends and order in large datasets like we do since our childhood. The new algorithm, which was developed at the MIT, may impact the field of artificial intelligence

[...] two examples of data structures automatically discovered by computers. On the top, you can see structures learned from biological features, while on the bottom are represented structures learned from Euclidean distances between faces represented as pixel vectors. (Credit: Kemp and Tenenbaum).


Clipped from: MIT model helps computers sort data more like humans - MIT News Office

MIT news

MIT model helps computers sort data more like humans

Humans have a natural tendency to find order in sets of information, a skill that has proven difficult to replicate in computers. Faced with a large set of data, computers don't know where to begin -- unless they're programmed to look for a specific structure, such as a hierarchy, linear order, or a set of clusters.

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.

Clipped from: Josh Tenenbaum's home page

Josh Tenenbaum

Paul E. Newton Career Development Professor
Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology

Clipped from: Charles Kemp

Charles Kemp

Assistant Professor at CMU's Department of Psychology.

Kemp, C., & Tenenbaum, J. B. (2008). The discovery of structural form. Proceedings of the National Academy of Sciences. 105(31), 10687-10692. Supporting information. Commentary by K. J. Holyoak. Code and data sets.


Model Helps Computers Sort Data More Like Humans
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ScienceDirect - Trends in Cognitive Sciences : Probabilistic models of cognition: Conceptual foundations