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The machine learning algorithm described here combined the talents at Johns Hopkins and Texas A&M to digest the facts about the last five hurricanes, in hopes of doing better next time. And when next time comes, it will be ready to compare its predictions to the real damage caused, and improve its predictive power next time. There are some interesting details about how they did it, so check if you're interested in keeping the lights on, check out this attempt to keep homes on-the-grid.
Text: http://www.smartertechnology.com/c/a/Technology-For-Change/Smarter-Hurricane-Prediction-to-Shorten-Power-Outages/