Image: pixabay.com
The Story
AI can find unusual features on Mars and the Moon; proving one was built by aliens requires evidence beyond a visual anomaly.
AI can sift enormous archives, retrieve unusual terrain, and help locate known spacecraft. It cannot, by itself, distinguish an unknown extraterrestrial structure from an unfamiliar geological feature. The strongest demonstrated results concern human hardware and anomaly ranking, while attribution requires independent imaging, geological context, and follow-up analysis.
- A variational-autoencoder method retrieved scientifically interesting lunar anomalies, including known human landing and spacecraft sites, from LRO imagery.
- A lunar object detector achieved an F1 score of about 0.60 and located Luna 16 in previously unseen imagery, demonstrating useful but imperfect performance on known hardware.
- The Face on Mars illustrates how lighting, terrain, and pattern-seeking can turn natural geology into apparent evidence of civilization.
Deeper Insight
The archive is opening up. The hard part is proving the shape is a ruin, not Mars playing tricks.
A model can already surface unusual terrain and known lunar hardware from NASA imagery. That links AI’s search power to a bigger shift: planetary anomalies could become searchable beyond a small circle of specialists. But the Face on Mars is the warning label. Pattern is easy. Proof needs geology, independent images, and human follow-up.
- Researchers propose searching Mars and Moon imagery for physical technosignatures such as structures, roads, excavations, or other deliberate landscape alterations.
- An unsupervised Xenarch demonstration trains on natural terrain and flags features it cannot reconstruct as geology, but its developer says a general planetary anomaly pipeline is not yet complete.
- A lunar anomaly model can identify both geological formations and artificial objects, showing that automated discovery can widen the search beyond predetermined targets.
Sources · 10
- 1 Journals & institutions
- 3 Early research (not yet peer-reviewed)
- 3 News reporting
- 3 Forum, video, personal
What do these mean?
- Journals & institutions. Published in a peer-reviewed journal, or from a university, government body, court or other institution.
- Early research (not yet peer-reviewed). A research paper posted publicly before independent experts have reviewed it (a preprint). Real researchers, but not yet checked.
- News reporting. Journalism: newspapers, magazines and news sites.
- Forum, video, personal. Forums, social posts, video, blogs and personal accounts.
Featured · Primary source · arxiv.org
A Machine Learning Based Search for Lunar Anomalies
Early research · not yet reviewed
A Machine Learning Based Search for Lunar Anomalies # A Machine Learning Based Search for Lunar Anomalies Cameron Kelahan 1,2,3 Daniel Angerhausen 4 Adam Lesnikowski 5 and Valentin T. Bickel 6 Affiliation: 1 University of Warwick, Coventry, United Kingdom CV4 7AL 2 Università degli Studi di Padova,
Read sourceAnalysis · reddit.com
Mars And Moon Images To Be Searched For Signs Of Lost Civilizations
Forum or personal account
Could the remains of an ancient alien civilization be hiding in NASA images? Researchers propose using artificial intelligence to search Mars and the Moon for structures, roads and other traces of long-lost technology. Linked article (abovethenormnews.com): NASA's Mars And Moon Images To Be Searched For Signs Of Lost Civilizations # NASA’s Mars And Moon Images To Be Searched For Signs Of Lost Civi
Read sourceAnalysis · abovethenormnews.com
Mars And Moon Images To Be Searched For Signs Of Lost Civilizations
News reporting
NASA's Mars And Moon Images To Be Searched For Signs Of Lost Civilizations # NASA’s Mars And Moon Images To Be Searched For Signs Of Lost Civilizations David Freeman Published 22 October 2026 · 21:02 UTC Somewhere on the surface of Mars or the Moon, the remains of an ancient civilization could have survived for hundreds of millions of years without ever being recognized. Scientists are proposing a
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