MIT AI forecasts extreme weather without historical data
MIT engineers have built an AI tool that forecasts extreme weather without training on historical disaster data. Kai Chang, a mechanical engineering graduate student, and Professor Themis Sapsis developed the tool. It produces maps of events that have not appeared in a region’s historical record but remain statistically-possible. Each map also carries estimates of the […] The post MIT AI forecasts extreme weather without historical data appeared first on AI News.
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