AI Uncovers Hundreds of Hidden Cosmic Oddities in the Hubble Archive
TL;DR Summary
Researchers used AnomalyMatch, an AI-driven neural network, to scan nearly 100 million Hubble Legacy Archive image cutouts in about 2.5 days, identifying roughly 1,400 anomalous objects, with around 800 new-to-science discoveries. The haul includes merging galaxies, gravitational lenses, jellyfish galaxies, and unusual edge-on disks, plus a number of objects that defy easy classification, highlighting AI’s power to unlock archival data for future surveys like Euclid and the Vera C. Rubin Observatory.
Topics:top-news#anomaly-detection#artificial-intelligence#astronomy#hubble-space-telescope#neural-network#space
- AI Sifts Through a Mountain of Hubble Data, Uncovers Hundreds of Cosmic Weirdos Gizmodo
- AI Unlocks Hundreds of Cosmic Anomalies in Hubble Archive NASA Science (.gov)
- Astronomers discover over 800 cosmic anomalies using a new AI tool Engadget
- Astrophysical anomalies from Hubble’s archive ESA/Hubble
- 1400 quirky objects found in Hubble's archive European Space Agency
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