So, all of that is in the creation of content, of relevance, basic human expression.

We have schedules, in particular for parallel programs.

How so?

like the cellular, or something like that, never having actually gotten physical access to your car.

So we know that F is equal to mass times acceleration.

Agreed? Yes? Okay.

But there is a lot of computing in nature.

It's a physical infrastructure that allows us to get from point A to point B and move things that way.

And so if you need to study this sleeping problem, it's easy to study on plants, for example, than in animals and it's much more easy even ethically.

And push! David Gallo says, Push yourself.

Well, technically speaking, yeah.

(Applause) Interaction doesn't have to be virtual.

You have to have legal structure.

It's also the great theoretical triumph of biology.

Let's tell the quad to come back here and let the pole drop, and I will next demonstrate the importance of understanding physical models and the workings of the physical world.

What hold us together.

It's fairly self explanatory.

If I follow the model, then tallness is also contagious.

At the bottom of what we can know for sure are things that are physically obvious.

The system we've put on the ground here, at the Loyd Ray

I don't think anything is really B.

Perhaps an emotional response requires physical stimulae.

We first capture the physics with a mathematical model of how the machines behave.

Modify the physical sorting

So these are dollar bills right here being printed, either physically or electronically.

If you're under 50 we want you to work four more years.

Today at the micro and nanoscales, there's an unprecedented revolution happening.

So, we think we should treat them differently than we would want to be treated.

Having only one kind of light detector doesn't leave any room for seeing color.

Save the lab medical student.

(Laughter)

By some biological or psychic mechanism

But it's also clear that prosperity goes beyond this.

It's the rules. It's the rewards. It's the constraints.

Fourth, physical influence.

This is Boston Dynamics' BigDog.

It's kind of like a new approach to desktop computing.

The reason why it works is because 2D planning is so much faster than 3D planning.

The limitation was that they didn't have any money.

And that means input and output are in the same space enabling stuff like this.

And it's a beautifully complex neuron.

But, it's not about just stripping everything away.

Glamour is all about transcending this world and getting to an idealized, perfect place.

Otherwise, you may run into hard to reproduce thread scheduling issues.

So you don't have to just have a feel good attitude about energy to want to have one of these.