Facebook/meta was very early in the “AI” space. They built lots of tools and models being widely used right now. Just look at their popular github repos, faiss, SAM, vision transformers, visual embeddings, core ML libraries, all very essential components of many ML systems.

Saying facebook “just” dove into AI is wrong, facebook has been there from the early days along with Google (and probably some more) in building the very foundations these stupid LLMs “thrive” on

The readings will have an extremely low signal to noise ratio, at best you coils differentiate a truck from car by length of the pulse, but with speed already being ±30% variability any small difference in cars inherent properties (size in length or amount of metal) would quickly be reduced to nothing. Then for every make and model you have thousands of cars already, I don’t see how you could possibly differentiate between those even in theory.