IBM and NASA Release Groundbreaking Open-Source AI Model on Hugging Face to Predict Solar Weather and Help Protect Critical Technology

IBM and NASA have unveiled Surya, an open-source foundation model designed to interpret high-resolution solar imagery and predict space weather events. This collaboration addresses the growing vulnerability of modern infrastructure—such as power grids, satellites, and telecommunications—to solar storms. By providing more accurate forecasts, the model aims to mitigate significant economic and operational risks associated with unpredictable solar activity, moving beyond traditional methods that rely on partial satellite views. The technology represents a major leap in data-driven science by utilizing nine years of high-resolution data from NASA’s Solar Dynamics Observatory. Surya can visually predict solar flares and their locations up to two hours in advance, offering a level of spatial resolution and accuracy previously unattainable. This advancement allows researchers to move beyond simple classification to detailed visual prediction, significantly enhancing our ability to anticipate and prepare for hazardous solar events that impact both Earth and space-based technology. This release is highly relevant to the open_data community as it democratizes access to advanced AI tools for scientific discovery. By publishing Surya on Hugging Face, IBM and NASA enable researchers worldwide to build upon this foundation for specialized applications. This approach fosters a collaborative environment where open datasets and models drive innovation, allowing diverse industries to develop solutions for climate and space weather challenges, thereby accelerating the evolution of AI as a driver for critical scientific insights.

Source: newsroom.ibm.com
Published on 2025-09-22

IBM and NASA Release Groundbreaking Open-Source AI Model on Hugging Face to Predict Solar Weather and Help Protect Critical Technology

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