MIT scientists developed a training method to generate models that simulate the effects of human activities on climate much more quickly than other approaches.
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
Read MoreWith the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.
Read MoreNew research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.
Read MoreThe method could help communities visualize and prepare for approaching storms.
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