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Watch this 41-minute conference talk exploring how physics-inspired foundation models are revolutionizing space science research and applications. Learn from Dr. Jeroen Audenaert from MIT as he presents innovative approaches to integrating physical principles into machine learning frameworks specifically designed for space-based observations and analysis. Discover how these advanced models can enhance our understanding of celestial phenomena, improve satellite data interpretation, and accelerate discoveries in astrophysics and planetary science. The presentation, delivered at The first GAIA Symposium on Geospatial AI and Applications with Foundation Models in Sofia, Bulgaria, demonstrates practical applications of physics-informed neural networks in space exploration and provides insights into the future of computational space science methodologies.
