An international team of physicists has developed a new methodology to aid NASA and other government agencies in their ongoing investigations into unidentified aerial phenomena (UAPs). The result is a novel strategy integrating a specially designed artificial intelligence program that was partially inspired by the physicists’ own hunt for elusive dark matter.
More popularly known as unidentified flying objects or UFOs, UAPs aren’t necessarily considered as outlandish as they were decades ago. Setting aside the various theories that point to mysterious visitors from another planet, analysis increasingly centers on determining more worldly explanations. UAPs are often explained by classified experimental aircraft, astronomical events, or simply a case of mistaken drone identity. Meanwhile, a small percentage of sightings continue to baffle experts.
Over the last few years, the US government has attempted to present a more transparent approach to its UAP research, while the military continues a campaign to destigmatize reporting sightings among its ranks. In November 2024, Congress held a publicly televised joint subcommittee hearing about UAPs featuring a former US Navy rear admiral and NASA administrator. While not without its fair share of criticism, these and similar events are shifting the overarching narrative around unidentified aerial phenomenon.
Researchers like Matthew Syzdagis at the University of Albany have followed this evolving discourse for years. An associate professor of physics focused on dark matter, Syzdagis recently began collaborating with over 30 colleagues around the world to determine if this approach to hunting dark matter could be adapted to the search for UAPs. Their results, published this month in the journal Progress in Aerospace Studies, offer a new interdisciplinary methodology to review the past and future UAP sightings.
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