Windflow: Mining flight data to predict wind conditions

Опубликовано 3 июня 2014, 18:18

The Windflow project uses aircraft in flight as a vast sensor network to infer atmospheric conditions with greater accuracy. Devised by Ashish Kapoor, a senior researcher at Microsoft Research who specializes in machine learning and decision making, and Eric Horvitz, distinguished scientist and managing director of Microsoft Research Redmond, Windflow combines data from wind stations and flight data from the U.S. Federal Aviation Administration with a probabilistic model to infer wind velocity.

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