MIT AI predicts extreme weather without historical data

mit engineers kai chang and themis sapsis built an ai tool that forecasts extreme weather without training on historical disaster data. the tool generates maps of statistically-possible events that have not occurred in a region's history. these maps also include estimates of the events' probabilities. this development can improve weather forecasting and warning systems. it may help mitigate the impact of extreme weather events.