AI in Unidentified Aerial Phenomena Analysis: Multimodal Sensor Fusion, Real-Time Detection, and Governance
To the point
AI helps analyze unidentified aerial phenomena (UAP) by fusing radar, infrared, optical, RF, audio, weather and geospatial data with witness reports and using ML, neural networks, computer vision, NLP, and sensor fusion to detect, classify, and link signals beyond human ability, with AARO emphasizing cross-sensor correlation in military use and Harvard's Galileo Project automating real-time detection, while data scarcity and ethical concerns require responsible oversight and broad collaboration.
