For the first time, an Earth observation satellite has found what it was looking for — on its own, without human analysts on the ground. The milestone, which occurred in April, marks the first reported use of a vision-language model in orbit, and offers a glimpse of how AI could fundamentally change what space-based sensors are capable of — and how much they’re worth.
Typically, satellites download large chunks of data to analysts on the Earth below, who use machine learning algorithms or their own eyes to figure out what’s going on. But onboard Yam-9, a spacecraft built by space infrastructure company Loft Orbital, a software package built by NASA’s Jet Propulsion Laboratory identified areas of interest in response to natural language queries.
