Harvard's Project Galileo Uses AI to Analyze UFO Data, Identifying Anomalies

Harvard's Project Galileo, spearheaded by Avi Loeb, is employing artificial intelligence to analyze data collected from three observatories in its search for extraterrestrial technology. The project has amassed data on approximately 1 million objects, establishing what they claim is the largest systematically compiled UFO database. During the initial five months of operation, around 500,000 objects were detected, with roughly 16% (approximately 80,000) flagged as anomalies. Following manual review, 144 trajectories remained ambiguous, potentially representing unidentifiable common objects. The project's objective is to identify outliers exhibiting technology beyond human capabilities, which could potentially indicate the presence of extraterrestrial civilizations. According to Avi Loeb, even if one in a million objects displays abilities beyond human-made technologies, it would constitute the biggest scientific discovery ever made. The Galileo Project aims to use existing and new telescopes to systematically look for artifacts in Earth's orbit, interstellar objects, and unexplained craft, sometimes called "anomalous aerial vehicles" (AAV), in Earth's atmosphere.