this post was submitted on 21 Sep 2026
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[–] logi@lemmy.world 1 points 1 week ago (2 children)

Machine learning is more for situations where the software has to discover the best way to operate because the rules aren't well established.

Or the machine needs to look at messy input data and recognise what the situation is so it can apply the more structured decision processes. You can't feed a radar image to a bunch of if/elif/elif/else statements. That pattern recognition is fallible, but so are humans. Exciting times!

[–] LovableSidekick@lemmy.world 1 points 1 week ago

You'd be surprised what symbolic AI can do with messy data - in medical diagnosis, for example - but LLMs suck at it.

[–] trebach@sh.itjust.works 1 points 1 week ago (1 children)

You can't feed a radar image to a bunch of if/elif/elif/else statements.

You don't need to input the image. You just need to input call sign, latitude, longitude, altitude, heading, speed, and emergency status (none, pan pan, or mayday) for each aircraft on radar.

The ATC will set the last one based on radio communications but the rest are either directly from or can be calculated from their transponders.

[–] logi@lemmy.world 1 points 1 week ago

Well, it's neither. This is not about to be used in the tower per other comments.