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IBM and NASA Develop a Digital Twin of the Sun to Predict Future Solar Storms
The tool models the sun using AI, and its developers say it can anticipate solar flares 16 percent more accurately and in half the time of current prediction systems.
Surya was trained with nine years of data collected by NASA’s Solar Dynamics Observatory (SDO), an instrument that has orbited the sun since 2010, taking high-resolution images every 12 seconds. The model’s performance was optimized using a mechanism called spectral gating, which reduces memory usage by up to 5 percent by filtering out noise in the data, thereby increasing the quality of the processed information. A major solar storm could directly affect global telecommunications, collapse electrical grids, and disturb GPS navigation, satellite operations, internet connections, and radio transmissions.
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