AI Discovers 1,400 Hidden Cosmic Anomalies in Hubble's 35-Year Archive
Summary
AI system called AnomalyMatch discovers over 1,400 previously unknown cosmic anomalies in Hubble Space Telescope's 35-year archive, analyzing 100 million images in just 2.5 days to identify merging galaxies, gravitational lenses, and dozens of mysterious objects that defy classification.
Key Points
- Astronomers use AI model called AnomalyMatch to discover over 1,400 previously unknown astrophysical anomalies in Hubble Space Telescope's 35-year archive
- The AI system analyzes nearly 100 million image cutouts in just 2.5 days, identifying merging galaxies, gravitational lenses, jellyfish galaxies, and several dozen objects that defy classification
- This marks the first systematic search for anomalies across Hubble's complete dataset, demonstrating AI's potential to maximize scientific discoveries from existing space telescope archives