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Researchers Use AI To Find Astronomical Anomalies Buried In Archives

  • On January 27, 2026 David Patrick O'Ryan and Pablo Gómez used AnomalyMatch to search nearly 100 million cutouts from the Hubble Legacy Archive and confirmed over 1,300 anomalies.
  • Hubble's archive holds more than 1.7 million observations, overwhelming manual review, and citizen science initiatives fall short, prompting David Patrick O'Ryan and Pablo Gómez to develop an AI-assisted tool.
  • Among the flagged targets were gravitational lenses, ring galaxies, jellyfish galaxies, massive star-forming clumps, edge-on planet-forming disks, several dozen unclassifiable objects, and six highlighted previously undiscovered objects.
  • The work demonstrates how AI can increase the scientific return from archival data, as neural networks like AnomalyMatch maximize value and prepare for NASA's Nancy Grace Roman Space Telescope, ESA's Euclid, and Vera C. Rubin Observatory surveys.
  • After the algorithm flagged candidates, researchers manually reviewed top-ranked images and confirmed true anomalies, with AnomalyMatch working on small image cutouts for scalability.
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Artificial intelligence reveals mysterious ‘astrophysical anomalies’

Astronomers has employed a cutting-edge, AI-assisted technique to uncover rare astronomical phenomena within archived data.

·Calhoun, United States
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A team of astronomers has discovered nearly 1,400 rare objects, more than 800 of which had never been recorded before.

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NASA (Source) broke the news in Washington, United States on Tuesday, January 27, 2026.
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