A pair of European Space Agency astronomers trained an artificial‑intelligence model called AnomalyMatch to scan the Hubble Legacy Archive. In just two and a half days the system examined almost 100 million image cutouts and flagged nearly 1,400 previously undocumented astrophysical anomalies, most of them interacting galaxies. The findings, published in Astronomy & Astrophysics, also include gravitational lenses, jellyfish‑type galaxies, and dozens of objects that defy classification, highlighting AI’s power to extract new science from existing data. Leia mais →