This seems awfully brief and doesn't have much detail. The tittle says it's a "preliminary" report. Is this the expected UAP report or just a preliminary document about it?
I would want to see summary statistics for each reported incident and descriptions of the most compelling phenomenon. This document raises a lot of questions and answers few.
The document says they have 21 reports of UAP that "appear to demonstrate advanced technology" including moving at "considerable speed" "without discernable means of propulsion." I need more detail! Are these reports among those confirmed by multiple trustworthy sensors and observers? What do we know about these UAP? What speed? Do we have video?
I'm also not really impressed by their idea to use "advanced algorithms" and "machine learning". Are UFO encounters so frequent we need to resort to big data? I do think it's an excellent idea to process recorded radar data looking for UAP signs though.
> I'm also not really impressed by their idea to use "advanced algorithms" and "machine learning". Are UFO encounters so frequent we need to resort to big data?
I had that same thought - on first read this report seems to contain summary analysis of 144 UAP incidents. Not the sort of numbers that immediately make me think "I need ML to process those!"
144 _reported_ incidents. They also talk about how some of the cases going unreported. It would make sense to sieve through the radar data (I'd guess all the ATC radars are being recorded, because why not?) to look for those.
I think one proposal is to have advanced wide-field cameras placed in "locations of interest". This would be much like an optical observatory and would generate petabytes of data.
You might have misunderstood the point of the ML strategy. The idea is to train a model on explainable event data such as weather balloons or wildlife as collected via various existing sensors. Then take this model and use it on historical sensor data to identify events that do not match the traits of the known events. I feel like this is a pretty reasonable use for ML.
I would want to see summary statistics for each reported incident and descriptions of the most compelling phenomenon. This document raises a lot of questions and answers few.
The document says they have 21 reports of UAP that "appear to demonstrate advanced technology" including moving at "considerable speed" "without discernable means of propulsion." I need more detail! Are these reports among those confirmed by multiple trustworthy sensors and observers? What do we know about these UAP? What speed? Do we have video?
I'm also not really impressed by their idea to use "advanced algorithms" and "machine learning". Are UFO encounters so frequent we need to resort to big data? I do think it's an excellent idea to process recorded radar data looking for UAP signs though.