AI Hears Sunspots Ahead of Visible Formation: COFFIES Forecasts Solar Activity 12 Hours Early
TL;DR Summary
NASA’s COFFIES machine-learning model analyzes deep interior solar flows and surface magnetic and acoustic data to predict active sunspot regions up to about 12 hours before they visibly form, effectively letting scientists 'hear' sunspots. While the model is a black box, its predictions could help researchers better understand solar dynamics and provide early warning for geomagnetic storms, with NASA sharing related content via video channels.
- Machine Learning COFFIES “Hears” Sunspots Before We Can See Them Hackaday
- NASA’s COFFIES Uses AI to Predict Storm-Causing Active Regions on Sun NASA Science (.gov)
- NASA develops AI to predict solar storms 12 hours before they appear | It'll also help improve space weather forecasts | Inshorts Inshorts
- New computer model can help trace magnetic energy builds up & forecast impact of resulting CMEs PIB
- New AI Model Detects Hidden Signs of Solar Eruptions Hours Before They Emerge NJIT News
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