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IBM and NASA have unveiled the most advanced open-source foundation model designed to understand high resolution solar observation data and predict how solar activity affects Earth and space-based technology.
With humanity’s increasing dependence on space-based technology and plans for deeper space exploration, accurate solar weather prediction has become critical. “Think of this as a weather forecast for space,” says Juan Bernabe-Moreno, director of IBM Research Europe, UK and Ireland. “Just as we work to prepare for hazardous weather events, we need to do the same for solar storms. Surya gives us unprecedented capability to anticipate what’s coming and is not just a technological achievement, but a critical step toward protecting our technological civilization from the star that sustains us.
In early testing, researchers report achieving a 16% improvement in solar flare classification accuracy which researchers report as a very substantial improvement compared to previous methods. In addition to the binary solar flare classification task, Surya is built to visually predict solar flares for the first time, providing a high-resolution image of where the flare is predicted to occur up to two hours out.
“We are advancing data-driven science by embedding NASA’s deep scientific expertise into cutting-edge AI models,” says. “By developing a foundation model trained on NASA’s heliophysics data, we’re making it easier to analyse the complexities of the Sun’s behaviour with unprecedented speed and precision. This model empowers broader understanding of how solar activity impacts critical systems and technologies that we all rely on here on Earth.
Researchers worldwide can now build upon this foundation to develop specialised applications for their regions and industries.
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