Q on real-life actors, uh, but you have the ability through AI to make them say, um, things, uh, in, in a bunch of different languages with, uh, expression and, and, and all the things. So this is at the intersection of voice and computer vision and all the things. Maybe walk us from a, an AI perspective. Um, how, how does that work? Like, what, what is this based on?
A Yeah, so a lot of the origins of this research actually comes from computer graphics from the movie industry, so when you're having like a, you know, an actor that is, has a stunt double or something like this, you have to virtually replace, edit the faces, edit the actors, and the movie industry has been, you know, over the decades, has made successive progress in order to make it easier, um, for editors, for artists, um, to, to mitigate the effort there, and Kind of the thing that happened in the last, in years, let's say in the last, well, 10 years, like a lot of things in AI and deep learning have happened. So traditional graphics methods have been augmented with AI methods now, and this has become a lot easier. So you have now generated by methods like generating serial networks and these kinds of technologies, they help a lot to make this process even easier than it used to be before. So instead of having artists and so on, but manually fix like face replacements of, of actors or so, you now have an AI that does it all automatically.
AI assessment note: “traditional graphics methods have been augmented with AI methods now”