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NASA’s Surya AI Predicts Solar Flares with 16% Higher Accuracy

Summary ⁤of the Article: NASA’s Surya Heliophysics Foundational Model

This article details NASA’s progress of Surya, an AI model designed to predict solar flares up to​ two hours in​ advance. here’s a breakdown ‌of the key ‌data:

What it is: Surya is a ⁢”foundation model” AI, trained on nine years of data from​ the Solar dynamics Observatory⁢ (SDO). Unlike conventional‍ AI, it can learn ​directly from raw data without needing pre-labeled information.
How it works: Surya analyzes high-resolution ‌images and magnetic field measurements‌ to track active areas on the sun​ and estimate solar wind speed. It also integrates data from other observatories like SOHO and Parker ⁣Solar Probe.
Performance: Initial results show ‌Surya is ⁢16% more accurate in​ forecasting solar bursts than previous methods.
Importance: ‌ Accurate solar flare prediction is crucial because solar storms can disrupt:
Satellites

Electricity grids

Communication ​systems
GPS accuracy
Accessibility: Surya is openly available on HuggingFace and⁢ Github for⁤ use by scientists and developers.
NASA’s Viewpoint: NASA believes this AI represents a important advancement in ‌”data-based science” ⁤and will improve understanding of the sun’s impact on ⁢Earth-based technology. They‍ emphasize the vulnerability of modern infrastructure to space ⁤whether.

In ‌essence, Surya is a powerful new tool for space weather forecasting, aiming to protect critical⁤ infrastructure and ensure the safety of space exploration.

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