We cannot predict the future.

This much we can safely predict.

We can't predict it and we can't control it.

But I'd like to play for you the sound that we predict.

What about contributions we can't even predict?

And if we can predict, then we can engineer the future.

We predict that this commitment will be shared by the entire family of nations.

And we could generate an equation that could predict the likelihood of an attack.

Just as we can't predict what one molecule in a gas will do it's hopeless to predict a single molecule yet we can predict the properties of the whole gas, using thermodynamics, very accurately.

Just as we can't predict what one molecule in a gas will do it's hopeless to predict a single molecule yet we can predict the properties of the whole gas, using thermodynamics, very accurately.

And we can predict what the sound will be.

We must assess the lessons of history so that we can better predict the trends of the future.

So we can then predict where management places should be.

And we can predict these trends far into the future.

In order to predict effectively, we need to use science.

We do not want to try to predict the future.

Now we can use this nice equation to predict things.

Economists did not predict that event, either.

That is why it appears safer to predict high volatility in 2010 than to predict that home prices will rise.

Well, we know from astrobiology that we can really now predict what's going to happen to our particular planet.

When we don't quite predict something perfectly, we get really excited about it.

And you'll hear people say, well, we can't predict the future.

So, what do we need to know in order to predict?

The bottom line is that we can t predict where the threat will emerge, so we need a distributed, intelligent detection system.

We cannot predict our fate, but we can be certain that security will only come through real solidarity and global partnership.

So since we can't predict the future, we want to spend a lot of our time trying to create that future.

If we know those things we can predict their behavior by assuming that everybody cares about two things on any decision.

like you'd predict.

We can predict the accident and we can predict who, which cars, are in the best position to move out of the way to calculate the safest route for everyone.

As if these were the maps that we would need to predict where you would find the beaver.

As if these were the maps that we would need to predict where you would find the beaver.

And the models that we need to predict the future do not have enough data to refine them.

I predict that I will always be with you.

And what this means is we can predict learning, we can predict enhanced engagement, these windows, these windows of time, in which the learning is taking place at an enhanced level.

And what this means is we can predict learning, we can predict enhanced engagement, these windows, these windows of time, in which the learning is taking place at an enhanced level.

We can't predict specifically what particles will be produced in any individual collision.

And I think Chris would probably offer you some answer that you might not have understood, but it probably wouldn't have been right, and I think that to predict what finding E.T.'s going to mean, we can't predict that either.

And we want to use this picture to predict new particles that we'll see when experiments reach higher energies.

For example, I predict that we will move away from a plant based narcotics world to a synthetic one.

What did I predict?

He performed research demonstrating that his theories could predict behavior.

So, we thought we would exploit this idea in order to study whether we could predict phenomena within networks.

We cannot predict the shape that the world economy will take just from observing that China and its interests will loom larger.

So we could deliberately erase some symbols, and we can ask it to predict the missing symbols.

At the Asian Development Bank, we predict that its growth will slow to 7.7 this year, from 9.3 in 2011.