MIT AI forecasts extreme weather without historical data

MIT engineers 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 not in a region's historical record but statistically possible, with each map carrying estimates of the events.