3 ms·
Well, the way I see it: mostly, these are “improvements”, huge ones, but still. They ride the current AI tech wave, take it an optimize apps with it. For most
by baxtr 8y ago
Well, the way I see it: mostly, these are “improvements”, huge ones, but still. They ride the current AI tech wave, take it an optimize apps with it.
For most things, that people dream of and do marketing about need another leap forward, which we haven’t seen yet (it’ll come for sure)
- ehsankia 8y agoAlmost anything that has to do with image understanding is entirely AI. Good luck writing an algorithm to detect a bicycle in an image. This also includes disease diagnostic as most of those have to do with analyzing images for tumors and so on. Also, while a lot of these can be seen as "improvements", in many cases, that improvement put it past the threshold of actually being usable or useful. Self-driving cars for example need to be at least a certain level before they can be deployed, and we would've never reached that without machine learning.
- baxtr 8y agoI agree, the effects can be very impressive. I meant, that what is achievable is quite clear now and that we need a major innovation/steps for the next leap