“The panel finds that artificial intelligence and machine learning are essential tools for identifying rare occurrences, potentially including UAP, within vast datasets,” NASA said in its 33-page report,The image from video provided by the Department of Defense labelled Gimbal, from 2015, an unexplained object is seen at center as it is tracked as it soars high along the clouds, traveling against the wind.
“However, the effectiveness of AI and ML in studying UAP depends critically upon the quality of the data used to train the AI and in subsequent analysis,” NASA added. “At present, UAP analysis is more limited by the quality of data than by the availability of techniques. As a consequence, it is a higher priority to obtain better quality data than it is to develop new analysis techniques.”
“NASA should therefore explore the viability of developing or acquiring such a crowdsourcing system as part of its strategy,” the report asserted, adding that there should also be a “standardized system for making civilian UAP reports.”