And the great part about this is it's just like Hotmail.

So, this brings us to the course goals. The course is designed to help you to

It's very data intensive experimental science.

I'm a professor at the University of Illinois, Urbana, Champagne.

So this quote wouldn't show up for the keyword David.

So this is a NAND gate.

And from that you have new possibilities for computing.

Free On Line Dictionary of Computing

So, now we can compute that the output arranges material as well as information.

It's not quite what he said, but close enough approximation. And when, I don't quite have the graph here.

They started using Linkedln and Flickr and Gmail and Google Maps all these things.

What we're trying to do is build a virtual world.

But we still look at technology as top down mega projects.

There's new programmability in these parts.

Everything is transformed into machine instructions to manipulate these bits.

But today we have lots of different applications.

The whole industry is moving into heterogeneous computing from mobile to super computing.

We're writing programs to solve problems, but they're dealing with abstract representations of those problems.

Go through a whole series of things to change my research.

And computing looks very different.

We'll then go to the next paradigm.

like an immune system, and we're learning from gene regulation and biological development.

Anybody in the world can use them.

The kde team welcomes you to user friendly UNIX computing.

But there is a lot of computing in nature.

I'm here with Brielin Brown, who works on quantum computing.

And that's when we got the Internet.

The KDE team welcomes you to user friendly UNIX computing.

So I have quite a few friends who do search engines and I asked one of them, Sergey Brin, who's co founder of Google

We didn't get to this too much in this class, but this question about universality, questions about what can be computed and how fast it can be computed are really fundamental questions about science.

So I want you to imagine when in a couple of years, when we've started to apply this cloud based information, when we really have the A.I. physician and leverage our brains to connectivity to make decisions and diagnostics at a level never done.

So Brielin, what does quantum physics have to do with computing?

So this past March we announced Google Play, your digital entertainment destination not just for apps and games, but also for movies, music and books.

Illinois Coursera course of Heterogeneous Parallel Programming.

It's also related to universality.

If you don't believe me, I would encourage you to read this book by Douglas Hofstadter called Godel, Escher, Bach.

We'll start by summarizing the course, and I want to highlight the three main themes that I think are most important in computing.

log plot is an exponential increase in performance.

Geometry. We haven't used too much directly in this class.

So just to give you a bit of context, as June said, I'm an artist, a technologist and an educator.

What we're going to do next is learn about the present of computing. We're going to visit SLAC National Accelerator Laboratory, and see how they're using computing to advance science today.

You cannot assume your computers don't die in the middle of calculations.

The hardest thing at this point is the social engineering and the organizational engineering, but it's here today.

But it goes a step further, and it tries to have actual computation.

And we're learning from neural nets, genetic algorithms, evolutionary computing.