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 →

Artificial intelligence is reshaping how astronomers collect, process, and interpret the massive data streams generated by modern telescopes and space missions. AI enables near‑real‑time analysis of terabytes of nightly observations, flags transient events, sharpens images, and uncovers hidden patterns in archival datasets. By handling the most data‑intensive tasks, AI frees researchers to focus on hypothesis generation and scientific interpretation, democratizing access to the cosmos for students and independent scientists alike. The shift marks a new era where AI acts as a collaborative partner, accelerating discovery and expanding participation in astronomy. Leia mais →