Stanford Researchers Enhance Solar Flare Predictions with AI

Stanford University researchers Monica Bobra and Sebastien Couvidat have developed an artificial intelligence (AI) algorithm to predict solar flares, utilizing data from NASA’s Solar Dynamics Observatory (SDO). The SDO captures extensive images of the sun, providing a rich dataset for analysis. By training their machine learning model on over 1,000 active solar regions, the researchers achieved an 87% accuracy rate in predicting severe solar flares, surpassing previous models that had a 67% accuracy rate. This advancement holds promise for improving space weather forecasting, which is crucial for protecting satellites, power grids, and communication systems from solar-induced disruptions.

Source: https://phys.org/news/2015-02-stanford-pair-solar-storms.html?fbclid=IwY2xjawHSe9NleHRuA2FlbQIxMAABHQPfps2fb9SH98t1VFPTpqucK0p97r0CZQTkc13_n2N-QE1ZIT3l5xwfQA_aem_4NYLl9CxW7BhL99WL7zWZg