Artificial intelligence is great at predicting the size of hurricanes, but humans still need to figure out their impact


John von Neumann, who built the initial ENIAC computer, became fascinated with predicting weather in the 1930s. He called it "the most complex, interactive, and highly nonlinear problem that had ever been conceived of." These first weather predictions took more than 24 hours to compute, but proved the idea was possible--and that we needed faster computers. Today, governments and corporations constantly run data through more than 150 accepted weather models to forecast conditions around the globe. The ability for machines to learn from incorrect forecasts and adjust weather models themselves has been studied since the 1970s, but has only become practical in recent years due to an explosion in access to computing power.

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