Using a custom-built AI tool, for instance, a team of scientists at the European Space Agency have identified over a thousand “anomalies” in an archive of Hubble space telescope images that have gone unnoticed for decades, according to a NASA release. Their work, described in a new study published in the journal Astronomy & Astrophysics, is the first systematic search for astrophysical anomalies across the entire archive. “Archival observations from the Hubble Space Telescope now span 35 years, offering a rich dataset in which astrophysical anomalies may be hidden,” said lead author David O’Ryan, an ESA astrophysicist, in a NASA statement. To make the discoveries, the researchers used their AI tool, which they’re calling AnomalyMatch, on nearly 100 million snippets of Hubble images that were only a few pixels on each side. The administration has also eagerly deployed AI across the federal government, including government-tailored versions of OpenAI models, and an AI tool to help accelerate the approval of drugs.