Mapping the Ultraviolet Sky with AI

What would the sky look like in ultraviolet light—and how do you map regions no UV telescope has observed? We follow astrophysicist Brice Ménard's collaboration with Claude Science to combine scattered telescope surveys, calibrate their differences, and estimate the missing pieces using observations at other wavelengths. Roughly a third of the finished map is predicted, with measured and predicted pixels labeled separately and uncertainty estimates included. We explore the work behind that distinction, including the atmospheric glow Ménard spotted after AI reviews missed it. It's a story about using AI to complete a long-delayed scientific resource, and why careful human inspection still matters. Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information. Sponsored by Embersilk LLC