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IBM and NASA Develop a Digital Twin of the Sun to Predict Future Solar Storms

The Sun’s most complex mysteries could soon be solved thanks to artificial intelligence. On August 20, IBM and NASA announced the launch of Surya, a foundation model for the sun. Having been trained on large datasets of solar activity, this AI tool aims to deepen humanity’s understanding of solar weather and accurately predict solar flares—bursts of electromagnetic radiation emitted by our star that threaten both astronauts in orbit and communications infrastructure on Earth. Surya was trained

NASA’s new AI model can predict when a solar storm may strike

Early testing of Surya showed it could predict some solar flares two hours in advance. “It can predict the solar flare’s shape, the position in the sun, the intensity,” says Juan Bernabe-Moreno, an AI researcher at IBM who led the Surya project. Two hours may not be enough to protect against all the impacts a strong flare could have, but every moment counts. IBM claims in a blog post that this can as much as double the warning time currently possible with state-of-the-art methods, though exact r

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NASA and IBM Unveil AI That Helps Scientists Forecast Solar Storms

Earlier this year, local and national officials gathered for a first-of-its-kind tabletop exercise to test their readiness for a severe solar storm. The simulation exposed major gaps in scientists’ ability to forecast space weather, which threatens critical infrastructure on Earth and in orbit. On Wednesday, August 20, IBM and NASA unveiled Surya: an open-source AI model that could begin to fill those gaps. Heliophysicists currently rely on complex computer models to monitor and predict the Sun

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