NASA’s COFFIES Uses AI to Predict Storm-Causing Active Regions

NASA’s COFFIES Uses AI to Predict Storm-Causing Active Regions

5 min read NASA’s COFFIES Uses AI to Predict Storm-Causing Active Regions on Sun  As humanity looks to the Moon and stars for future exploration, predicting space weather — conditions in space primarily driven by the Sun — is more important than ever.  Now, a team of astrophysicists and data scientists with NASA’s COFFIES (Consequence Of Fields and Flows in the Interior and Exterior of the Sun) has developed a novel machine-learning model capabl…

NASA uses AI to predict sunspots and solar storms 12 hours early

NASA researchers have developed an AI model that can predict the emergence of active regions on the Sun up to 12 hours before they become visible. The system detects subtle changes in acoustic waves and magnetic fields using data from NASA’s Solar Dynamics Observatory.

AI-Powered COFFIES: Predicting Solar Storms & Sunspots with AI - Archyworldys

Space weather forecasting has entered a new predictive era as a joint team of astrophysicists and data scientists within NASA’s COFFIES DRIVE Science Center developed a machine-learning model that spots the emergence of active solar regions up to 12 hours before they break the surface. How Machine Learning Reads Solar Acoustic Precursors Beneath the Surface ...

AI can now spot solar eruptions hours before they happen

A new AI model detected hidden solar activity nearly 9 hours before active regions emerged, potentially improving warnings for dangerous space weather.