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How A.I. Can Help Predict Wildfire Outcomes


We can agree that wildfire is natural in western forests, and at the same time not want fires to burn down our houses.  Some hard lessons have been learned about fire behavior in recent years. 

It would certainly help if fires were more predictable, and they just might be.  Researchers at the University of California-Irvine used machine learning, a kind of artificial intelligence, to predict how big a wildfire might get, based on the ignition point and the conditions where the fire started.  The tests have shown some promise in predicting the eventual size of fires; research co-author Shane Coffield visits with details of the work. 

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The Jefferson Exchange is Jefferson Public Radio's daily talk show focused on news and interests across our region of Southern Oregon and Northern California. Angela Decker is the senior producer, Nash Bennett is the assistant producer, and Geoffrey Riley hosts the show.