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Laboratory for Information and Decision Systems (LIDS)

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MIT researchers are developing a theoretical framework that could eventually be used to help pinpoint the location of mobile devices — represented here as blue dots — indoors, where GPS reception can be unreliable and inaccurate.

Can you find me now?

By demonstrating fundamental limits on their accuracy, MIT researchers show how to improve wireless location-detection systems.

If the relationships between data can be thought of as lines connecting points — or “graphs” — then machine learning is a matter of inferring the lines from the points. MIT researchers have shown that graphs shaped like stars and chains establish, respectively, the worst- and best-case scenarios for computers doing pattern recognition.

Sizing samples

Many scientific disciplines use computers to infer patterns in data. But how much data is enough to ensure that the inferences are right?

Pablo Parrilo, the Finmeccanica Career Development Professor at MIT’s Laboratory for Information and Decision Systems

Nonlinear thinker

With techniques for translating complicated equations into ‘sums of squares,’ Pablo Parrilo helps make sense of previously insoluble problems.

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