There's nothing useful to deploy it on though--the 'future soldier' concept of the 90s never went anywhere (https://en.wikipedia.org/wiki/Future_Soldier) and we don't have a computer platform on every soldier. IMHO I'd stick to using machine learning to detect stealth aircraft and missiles to improve intercepting them.
I've heard the javelin missile launchers have been great in ukraine because they can double as night / thermal vision. This concept seems similar to me. Never been on a battlefield but I guess it seems dubious that most modern soldiers don't have some form of digital aid?
Night vision is not digital, usually (digital NV exists, but it's not as good at amplifying as gen3 analog NV). Thermal has digital screens, but it's far less widespread than NV.
I don't know the specifics when it comes to the physics of it, but analog NV amplification simply has more sensitivity than digital image sensors. Of course, you can still analog-amplify an image onto a camera sensor for further digital processing, but I don't think that's common.
The particular case that you describe - automatically adjusting to ambient light - is handled adequately by analog circuits; this is called "auto-gating", and is pretty much standard nowadays.
Yes and no. Special ops forces could definitely make use of it. The hard part is ensuring the deployment equipment is reliable 99.99% of the time, since bugs on the battlefield get people killed.
