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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?

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MIT Electric Vehicle Team member Radu Gogoana works on the conversion of a 2010 Mercury Milan to an all-electric powertrain.

All charged up

Ability to recharge rapidly could make electric cars more acceptable to consumers, says MIT student team

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