IBM, NASA debut open source AI model for solar observation - IT-Online

IBM and NASA have released Surya, an open-source foundation model that significantly advances the prediction of space weather by analyzing high-resolution solar observation data. This tool aims to protect critical infrastructure, such as power grids and GPS systems, from the disruptive impacts of solar flares and coronal mass ejections. By providing more accurate forecasts, Surya helps mitigate potential economic losses and operational risks associated with solar storms, which can severely affect technology-dependent sectors ranging from aviation to telecommunications. The model represents a major leap in data-driven scientific discovery, leveraging nine years of high-resolution imagery from NASA’s Solar Dynamics Observatory. Unlike previous methods that relied on limited satellite views, Surya utilizes a massive, curated dataset to achieve unprecedented spatial resolution and accuracy in predicting solar activity. This advancement allows for detailed visual predictions of solar flares up to two hours in advance, offering researchers and operators a robust capability to anticipate hazardous events and plan mitigation strategies effectively. Surya’s release on Hugging Face underscores the growing importance of open data in accelerating scientific progress and democratizing access to advanced AI tools. By making the model and its underlying dataset publicly available, IBM and NASA enable the global research community to build specialized applications tailored to specific regional and industrial needs. This collaborative approach fosters a more resilient technological civilization, ensuring that diverse stakeholders can utilize open scientific resources to safeguard against the increasing vulnerabilities of our space-age infrastructure.

Source: it-online.co.za
Published on 2025-08-22

IBM, NASA debut open source AI model for solar observation - IT-Online

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