Machine Learning for UFO/UAP Identification: A Hybrid Multi-Modal Framework Emphasizing Ethics, Data Standards, and Collaboration
To the point
Machine learning can greatly improve UFO/UAP identification by analyzing sightings, extracting features, and cross-checking with public flight data to distinguish real objects from misidentifications, using multi-modal data and a hybrid learning system with ongoing human oversight and ethical safeguards, a view articulated by Michael Feuerstein and Joesph Feuerstein.
