It’s one thing detecting a person with machine learning in a test and an actual soldier with camouflage in a very imperfect environment. Also good luck telling friend from foe from civilian.
This has all sorts of problems while making the whole system more complicated and prone to issues. Not the mention moral questions of autonomous weapons. I have no doubt it will happen but not yet, not here.
Edit, apparently I’m an idiot and my ability to tell truth from fiction is a lot worse than I thought.
In my defence however, all the parts are completely viable. I also saw it mixed in with Boston dynamics videos.
I’ll leave the original comment for context of my folly.
The US already has them.
There are single shot drones, designed to be deployed into a building, or cave system. They then use cameras etc to navigate, while running face recognition. When they find their target, they fly just in front of it. The shaped C4 charge is designed to reduce their head to red mist, while not risking those close by.
AI + cheap drones will completely change warfare. Probably on the same level as the tank, or machine gun.
A combination of GPS, or even inertial based guidance to get them to the target area and then some simple vehicle / object identification, I’d think those are possible.
GPS is useful, but not required for operation. Inertial guidance, and ground tracking cameras can easily maintain a good position sense, while completely RF passive. This is also already normal on many toy drones.
You would also want to jam it over a large area. That jamming is akin to a “kick me” sign, in neon lights.
Tracking 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 Telegram channels like e.g Разработчик БПЛА.
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.
(Though yeah we run tons of models against drone data feeds, none of those are done onboard…)
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.
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Onboard AI guidance is not difficult.
I will be very suprised if this isn’t already happening.
It’s one thing detecting a person with machine learning in a test and an actual soldier with camouflage in a very imperfect environment. Also good luck telling friend from foe from civilian.
This has all sorts of problems while making the whole system more complicated and prone to issues. Not the mention moral questions of autonomous weapons. I have no doubt it will happen but not yet, not here.
I know it already does, at least in newer Lancets. Expect this in fpv type devices soon.
You can’t be serious.
Edit, apparently I’m an idiot and my ability to tell truth from fiction is a lot worse than I thought.
In my defence however, all the parts are completely viable. I also saw it mixed in with Boston dynamics videos.
I’ll leave the original comment for context of my folly.
The US already has them.
There are single shot drones, designed to be deployed into a building, or cave system. They then use cameras etc to navigate, while running face recognition. When they find their target, they fly just in front of it. The shaped C4 charge is designed to reduce their head to red mist, while not risking those close by.
AI + cheap drones will completely change warfare. Probably on the same level as the tank, or machine gun.
A combination of GPS, or even inertial based guidance to get them to the target area and then some simple vehicle / object identification, I’d think those are possible.
GPS is usually the first thing to be jammed in the battlefield.
GPS is useful, but not required for operation. Inertial guidance, and ground tracking cameras can easily maintain a good position sense, while completely RF passive. This is also already normal on many toy drones.
You would also want to jam it over a large area. That jamming is akin to a “kick me” sign, in neon lights.
Tracking 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 Telegram channels like e.g Разработчик БПЛА.
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.
(Though yeah we run tons of models against drone data feeds, none of those are done onboard…)
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.