AI tool discovers over 800 undocumented objects in Hubble Space Telescope archive
By
By Space Daily Editorial Team · Editorial process
Hot, fresh, and worth queueing round the block for.
Summary
Two researchers at the European Space Agency, David O'Ryan and Pablo Gómez, developed an AI tool called AnomalyMatch that analyzed nearly 100 million cropped images from the Hubble Space Telescope archive. The tool identified a shortlist of unusual objects, with more than 800 never before described in scientific literature. The work was published in the journal Astronomy & Astrophysics in December 2025, demonstrating that even one of astronomy's most famous archives still contains undiscovered phenomena hiding in plain sight.
Key quotes
· 3 pulledTwo researchers at the European Space Agency have run an AI tool across nearly 100 million cropped images from the Hubble Space Telescope archive and come back with a shortlist of unusual objects, more than 800 of which had never been described in the scientific literature.
The tool, called AnomalyMatch, was built by David O'Ryan and Pablo Gómez, who reported the work in the journal Astronomy & Astrophysics in December 2025.
The numbers are worth stating carefully, because the headline version flattens them.
You might also wanna read
AI Analysis of Hubble Archives Reveals 800+ Astrophysical Anomalies
Astronomers at the European Space Agency used an AI model called AnomalyMatch to analyze Hubble Space Telescope's 35-year archive, discoveri
The Verge·4mo ago
Machine Learning Validates Unrecognized Transient Astronomical Phenomena in Historical Observatory Images
This research paper uses machine learning to validate the existence of previously unrecognized transient astronomical phenomena in historica
arxiv.org·1mo ago
High School Student Wins $250,000 Science Prize for AI Algorithm That Identifies 1.5 Million Potential Astronomical Objects
An 18-year-old high school student, Matteo Paz, won the $250,000 top prize in the Regeneron Science Talent Search for developing an AI algor
smithsonianmag.com·5mo ago
SETI@home Project: 21 Years of Crowd-Sourced Search for Extraterrestrial Intelligence Yields 100 Promising Signals
The article covers the 21-year SETI@home project (1999-2020) where millions of volunteers worldwide loaned their home computers to UC Berkel
news.berkeley.edu·4mo ago
Kosmos: An AI System for Automated Scientific Discovery Through Iterative Analysis and Literature Review
Kosmos is an AI scientist system that automates data-driven scientific discovery through iterative cycles of literature search, hypothesis g
arxiv.org·7mo ago
Hubble Launches Enterprise User Research Platform for Product and UX Teams
Hubble Technologies Inc. has launched an enterprise user research platform on Product Hunt that enables product and UX teams to conduct unmo
Product Hunt·1mo ago