AI has doubled the reliability of weather forecasts for 2-6 weeks ahead, where existing models lose a lot of accuracy.
Researchers from MIT used machine learning not to make new forecasts, but to find and correct systematic errors in existing models.
This is especially useful for agriculture and emergency response services.
