Machine Learning <> UAP Interest Group
Join us for a discussion about the intersection of machine learning/AI and unidentified anomalous/aerial phenomena (UAP)! The purpose of this group is to think about how machine learning and AI can be used in the detection and characterization of UAP. If you’re interested in radar object detection, computer vision, or AI and aerospace more broadly, please stop by! At our inaugural meeting we will be discussing the recent report from NASA’s Unidentified Anomalous Phenomena Independent Study Team (UAPIST), and specifically their call to action to engage the machine learning/AI community.
Why now?
In 2017, the US Department of Defense released three videos of aerial objects displaying unusual maneuvering that they characterized as “unidentified” while revealing that programs existed to study these same objects and related phenomenon. Since then, multiple pilots have come forward, corroborating these reports, sparking the formation of the congressionally mandated All-Domain Anomaly Resolution Office (AARO) under the Department of Defense in December 2022, and the Unidentified Anomalous Phenomena Independent Study Team (UAPIST) under NASA in October 2022.
AARO and its predecessor have determined that they have possession of a small subset of UAP data that potentially exhibits “unusual flight characteristics”, while congressional hearings revealed that such UAPs pose a flight risk, with 11 “near misses”.
Both AARO and NASA have furthermore recommended that machine learning methods are critical for the further study and characterization of UAP.
Who we are:
We are members of the AIAA Unidentified Anomalous Phenomena Integration & Outreach Committee, a volunteer, technical group dedicated to the scientific study of UAP