ESA AI Tool Identifies 1,400 Anomalies in Hubble Archive, Unveiling New Cosmic Phenomena
The European Space Agency (ESA), in collaboration with NASA, has utilized an AI-assisted method named AnomalyMatch to analyze nearly 100 million image cutouts from the Hubble Legacy Archive. This effort, led by ESA researchers David O'Ryan and Pablo Gómez, resulted in the identification of approximately 1,300 anomalous images, revealing nearly 1,400 unique objects. Notably, over 800 of these objects had not been previously documented in scientific literature. The AI tool completed its analysis in about two and a half days, producing a ranked list of unusual images. The findings include gravitational lenses, galaxy mergers, ring galaxies, jellyfish galaxies, and massive star-forming clumps, among others. These discoveries were made possible by the AI's ability to rank images based on their unusual characteristics, which were then manually inspected by the researchers. 
