IBM and NASA made an open-source AI model for predicting solar weather
IBM and NASA made an open-source AI model for predicting solar weather
The collaboration between IBM and NASA has resulted in Surya, an open-source AI foundation model designed to predict solar weather with significantly greater accuracy than previous systems. By leveraging nine years of high-resolution satellite imagery, Surya can forecast solar flares and visual solar conditions hours in advance. This capability represents a substantial improvement in preparedness against geomagnetic storms, which can cause severe disruptions to critical infrastructure such as power grids. This advancement is particularly relevant to the open data community because Surya’s release democratizes access to advanced solar forecasting tools. The model is lightweight enough to run on less powerful hardware and is available for public download, allowing researchers, energy providers, and developers to integrate sophisticated solar predictions into their own applications. This open-source approach ensures that the benefits of proprietary-grade AI technology are not limited to a select few organizations, fostering broader innovation and resilience against space weather events. Furthermore, the project highlights the enduring value of publicly funded scientific data, even amidst political threats to agency budgets. While NASA faces potential funding cuts that could jeopardize its science teams and missions, the creation of Surya ensures that this vital work continues through a sustainable, open platform. The model’s ability to operate independently of specific NASA infrastructure demonstrates how open data initiatives can preserve critical scientific capabilities and extend their utility beyond their original institutional context.
Source: engadget.comPublished on 2025-08-21