
Here are some recent space-related stories of interest.
—CBS News: “Artemis II Moon Rocket Fueling Test Runs into Problems with Hydrogen Leak“
A hydrogen leak at the base of NASA’s Artemis II moon rocket Monday threw a wrench into a carefully planned countdown “wet dress” rehearsal, but engineers were able to manage a workaround and the test proceeded toward a simulated launch. Whether mission managers will be able to clear the rocket for an actual launch as early as Sunday to propel four astronauts on a flight to the moon will depend on the results of a detailed overnight review and post-test analysis. NASA only has three days — Feb. 8, 10 and 11 — to get the mission off this month or the flight will slip to March.
—ZME Science: “Astronomers Unleashed an AI on Hubble’s Archive and Uncovered 1,300 “Cosmic Oddities.” Most Were Completely New to Science“
For more than three decades, the Hubble Space Telescope has collected targeted images to answer specific scientific questions, from mapping galaxies to studying nearby nebulae. Hubble has gathered so much data that despite their best efforts, astronomers haven’t had the time to analyze it all in detail yet…Now, two astronomers have revisited that massive archive with a new plan. They deployed an artificial intelligence system designed to notice when something looks “wrong”. In just 60 hours of computing time, the tool flagged over 1,300 anomalies hidden within 100 million Hubble snapshots. Hundreds of them have never appeared in scientific literature.
—NASA/JPL “NASA’s Perseverance Rover Completes First AI-Planned Drive on Mars“
NASA’s Perseverance Mars rover has completed the first drives on another world that were planned by artificial intelligence. Executed on Dec. 8 and 10, and led by the agency’s Jet Propulsion Laboratory in Southern California, the demonstration used generative AI to create waypoints for Perseverance, a complex decision-making task typically performed manually by the mission’s human rover planners…During the demonstration, the team leveraged a type of generative AI called vision-language models to analyze existing data from JPL’s surface mission dataset. The AI used the same imagery and data that human planners rely on to generate waypoints — fixed locations where the rover takes up a new set of instructions — so that Perseverance could safely navigate the challenging Martian terrain.



