Horizon: The Hunt for AI

00:01:11 Just before Christmas, I witnessed something extraordinary. I stood in

00:04:11 Watson was one of the most sophisticated AI computers ever

00:06:55 least at this point, the awedients is understanding -- audience is

00:09:55 The main problem that he had to wrestle with whilst here, was this.

00:12:03 million, million, different ways that the machine can be set up. It

00:14:30 was this idea, above any other, than inspired scientists in labs

00:16:57 headlines across America. I would have thought technology like this

00:19:50 are the right way round. That looks like a little house with a roof on

00:22:27 What is the noise? So that is all cold air blowing through the racks

00:24:54 imagination, there is a lot of choices involved, which often

00:27:41 this. Lila can't programme me with a set of rules. Unlike a computer

00:30:33 responding to contact with me, picking up something. It gives

00:32:37 completely unaware of this. What about the ultimate goal of things

00:34:49 realise that I've done something very similar to this before. That's

00:37:30 difficult vision is. What it does is remove our hardware, our vision

00:39:44 camera and try to find you there and carry on to see how far we can

00:41:46 pick out something unusual. That's weird. What are you found there?

00:44:20 don't know, sometimes the last, the anticipation, it's the last step or

00:47:05 painting style according to the emotion of the sitter. So it is

00:49:18 that up. That is interesting. I quite like the image, or some of

00:51:45 larger than I thought they were going to be. -- much. These robots

00:54:08 well they both know this word and they know for the future they can

00:56:30 know, if we have these two robots and we let them alone. We come back

00:58:54 machines can do something so different to what human beings can.