Hello, with all the recent buzz surrounding the release/declassification of UFO-related files by the US government, I came up with an interesting idea using Machine Learning. Based on the premise that UFOs could mostly be extraterrestrial and may tend to land in remote or isolated places (supposedly to avoid human contact), I thought about building/training an ML (AI) model to suggest probable points where UFOs could appear or land. This would be based on collected data from sightings or flyover reports. The image I attached is related to a paper about the Nazca Lines in my country, where they used satellite imagery and Deep Learning to discover new hidden geoglyphs. https://www.sciencedirect.com/science/article/pii/S0305440323000559 Based on this precedent, something similar could potentially be done. What do you think? submitted by /u/Great-Bend3313 [link] [comments]