New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings of the IEEE International Conference on Data Mining, demonstrate how “knowledge-guided” artificial intelligence can assist forecasters in saving lives and protecting infrastructure as the frequency of extreme weather increases.
AI model improves flood forecasting with higher accuracy than current methods
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
