Jensen Huang

And so it says the right answer is cat.

And so you need to increase this signal and decrease all of the other and back propagates the outcome through the entire network.

And then you show in another, now it's an image of a dog.

And it guesses it, takes a swing at it, and it comes up with a bunch of garbage.

And you say, no, no, no.

The answer is this is a dog.

I want you to produce dog.

And all of the other switch, all the other outputs have to be zero.

And I want to back propagate that.

and just do it over and over and over again.

It's just like showing a kid, this is an apple, this is a dog, this is a cat, and just keep showing it to them until they eventually get it.

Okay, well, anyways, that big invention is deep learning.

That's the foundation of artificial intelligence.

A piece of software that learns from examples.

That's basically machine learning, a machine that learns.

And so one of the big...

first applications was image recognition.

And one of the most important image recognition applications is radiology.

And so he predicted about five years ago that in five years time, the world won't need any radiologists because AI would have swept the whole field.

Well, it turns out AI has swept the whole field.