Could a robot do your job artificial intelligence might be able to accomplish. It온라인바카라‘s the kind of thing that will never go beyond human comprehension.
A decade ago it might not have mattered at all how the engineers knew their robot could handle certain tasks. In 2010, after the failure of DeepMind’s AlphaGo program, AI researcher Daniela Perdue told BBC News that the problem would be fixed if the human player were not allowed to keep the robot off-balance.
In a separate paper published Monday, Perdue and her team say that if AI can learn to solve complex cognitive tasks, that could allow it to understand what humans are trying to say.
That’s pretty much the sort of thing that might allow machine vision to understand your face and tell you whether you’re lying or not. It’s the type of thing that could enable artificial intelligence to understand what humans are actually saying to it. But in the wake of DeepMind’s failure, there has been a lot of talk about how big a loss that could be for humanity.
If the machine had a brain that was smarter than we think, then maybe it could do as it wants
It’s worth noting that Perdue and her team aren’t arguing that humans need to make a massive leap in더킹 카지노 understanding AI. If they were, then humans would have done just fine: computers wouldn’t have needed to be invented, at least not in the early days of AI.
The problem is, artificial intelligence is so complicated—that huge leap may not happen, at least not right away. A computer can’t teach itself much—just a bit, really—because it doesn’t yet have billions of computers around.
So Perdue’s team crea강남안마ted a very simple, machine-learning framework that lets machines understand things like words:
«A lot of people don’t think of neural nets,» she says. «I think, really, of it as a sort of a simple model. We can just write things that look like they might be meaningful, and then the system will try to parse the meaning out of it and figure out, ‘Yeah, that’s kind of what he meant.'»
The idea would be that all the pieces of the brain, rather than just the pieces that actually do the thing, would be more like a single processor than like a whole machine. That’s what we would probably still call a brain, if we wanted one. This is basically the sort of understanding that machines need, because the work needed is the kind o