Back when I had a car, it had lane-keeping assistance. It followed road lines and edges automatically, which meant it also resisted turning into any lines and edges it detected if you didn’t have your signal on. Could probably keep a counter for lane changes and turns at marked intersections.
Yeah, that’s AI in my book. It’s almost certainly the output of machine learning using lots of sensor data, trained on mountains of older data. How is that not AI?
From what I understand, the output from programs using a machine learning algorithm continuously change as more inputs change the variable weightings of whatever model they have.
But the lane and road edge detection thresholds for my car’s sensors were likely determined (i.e, they picked and set fixed averages) from lots of data and set them as static values in the program to compare against. That’s just using data and statistics as usual.
There are toy cars for students of programming to write simple self-driving algorithms from sensor data to drive without colliding into walls and black or colored tape. Same idea. But I wouldn’t call it “AI,” which is a marketing term to begin with, not a scientific one.
Anyway, certainly no ML algorithm was running on the car’s system. The driving assist was very simple and predictable, and it was manufactured in 2018.
I’m all for punishing bad drivers, but absolutely no need for AI there.
How do you detect these occurrences then? You can’t differentiate a lane change from a curving road without analyzing the environment.
You think we need AI for a car to do that?
I mean you do if you want investors pumped up while you plan your golden parachute exit
Back when I had a car, it had lane-keeping assistance. It followed road lines and edges automatically, which meant it also resisted turning into any lines and edges it detected if you didn’t have your signal on. Could probably keep a counter for lane changes and turns at marked intersections.
Yeah, that’s AI in my book. It’s almost certainly the output of machine learning using lots of sensor data, trained on mountains of older data. How is that not AI?
From what I understand, the output from programs using a machine learning algorithm continuously change as more inputs change the variable weightings of whatever model they have.
But the lane and road edge detection thresholds for my car’s sensors were likely determined (i.e, they picked and set fixed averages) from lots of data and set them as static values in the program to compare against. That’s just using data and statistics as usual.
There are toy cars for students of programming to write simple self-driving algorithms from sensor data to drive without colliding into walls and black or colored tape. Same idea. But I wouldn’t call it “AI,” which is a marketing term to begin with, not a scientific one.
Anyway, certainly no ML algorithm was running on the car’s system. The driving assist was very simple and predictable, and it was manufactured in 2018.
machine learning is not ai
It literally is.
its just algorithms, there is no “intelligence”. same with chatgpt, gemeni, claude, etc. they’re all just algorithms fed loads of data to spit out
For as much as i know, it was always called AI
yup, but that’s what “AI” means
is this ragebait
I mean doesn’t AI just mean something that mimics humans/human inteligence or somethinf like that in some way or something like that?
the amount of turning in the wheel and the time of turning. You can also use speed.