6 ms·
AI doing something that humans used to do but better is pretty much the whole point of AI. The chasm between drawing a line on a map and this system is enormou
by Jabbles 5y ago
AI doing something that humans used to do but better is pretty much the whole point of AI.
The chasm between drawing a line on a map and this system is enormous, and represents 30 years of research.
It doesn't have to be a breakthrough to be in the news, it's a routine advancement of the state-of-the art.
- JCM9 5y agoNo. Drawing the line on the map was just used to decide where you wanted to show the prediction for. The forward looking prediction models themselves have been around for decades.
- ekianjo 5y agoYou did not need Black box neural networks to do statistics before.
- spywaregorilla 5y agoYou don't need a black box neural network to do statistics now. But it might be a good tool nonetheless. And it might be much less of a black box than you imagine.
- ekianjo 5y agoAs far as i know the understanding of how multi layered neural networks actually work is a hot research topic.
- spywaregorilla 5y agoIt is, but in many cases its still pretty easy to figure out. It depends on how complicated the problem is. If it's truly an incomprehensible nonlinear cesspool, then its pretty much impossible. If it's secretly a linear regression with a few forks and inflection points, its easy. The problems neural nets are used for do tend to fall into the former, but the techniques to unravel it are getting better.