Comment on Killer drones pioneered in Ukraine are the weapons of the future
eleitl@lemmy.ml 3 months agoTracking a moving object in realtime with video is a standard task for a machine learning engineer. You can do it on an embedded platform with ML hardware support. I don’t know what hardware newer Lancets use but they can already do it according from developer reports from Teegram channels like e.g Разработчик БПЛА.
Warl0k3@lemmy.world 3 months ago
Honestly, I was just objecting to the use of “AI”. We’ve had both fire and forget and loitering munitions for decades now, neither of which use ML. Will it happen? Sure. For now, ML/AI is too unreliable to be trusted in a deployed direct attack platform, and we dont have computing hardware powerful enough to run ML models that we can jam in a missile.
eleitl@lemmy.ml 3 months ago
The point of modern deep learning approaches is that they’re extremely easy on the developer skill. Decades ago realtime machine vision needed a machine vision expert, these days you throw the hardware at the problem at learning stage, and embedded devices to run the results are stupidly powerful (doesn’t even take a Jetson board), if you compare to what has been available even a decade ago.
barsoap@lemm.ee 3 months ago
And probably can’t ever be trusted. That “hallucinations can’t ever be ruled out” result is for language models but should probably apply to vision, too. In any case researchers didn’t have much trouble making cars see things.
That doesn’t mean that ML can’t be used, though, you can have additional non-ML mission parameters such as the drone only acquiring targets over enemy territory. Or that the AI is merely the gunner, there’s still a human commander.