AIxtreme-I

Physics-driven approaches in concert with AI-based methods to predict extreme space weather events

AIxtreme-I is focused on space weather problems. The integration of physical knowledge and machine learning techniques will improve the accuracy with which numerical models simulate the propagation processes in space weather contexts, will allow accurate and computational efficient parameter identification processes which will lead to improved models and prediction in solar and heliophysics.

AIxtreme-II

Mechanistic approaches in concert with AI-based methods to predict extreme weather events

AIxtreme-II will be focused on weather problems. Thanks to the combined exploitation of deterministic weather prediction models and efficient data-driven AI-based algorithms, weather forecasts with unprecedented accuracy in relation to key meteorological observables such as wind, temperature and cumulated precipitation, will become available on the Mediterranean Sea.