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

And we can predict what the sound will be.

And we can predict these trends far into the future.

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

So we can then predict where management places should be.

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

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.

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

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

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.

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

We cannot predict whether this eruption will be larger than the 1963 eruption.

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

GNOME Predict

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

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

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

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

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.

I can't predict what'll happen.

And those judgments can predict really meaningful life outcomes like who we hire or promote, who we ask out on a date.

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.

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

However, since we cannot prevent the disaster or predict its magnitude, the recovery process is therefore of paramount importance.

Nicholas Christakis How social networks predict epidemics

And you can predict the new trajectory.

We don't really have the technology to predict comet trajectories, or when one with our name on it might arrive.

We predict that from October on, the sales volume will greatly reduce so we are considering replacing Han u in set meals with imported beef.

They answered 'We predict evil of you. If you do not desist, we will stone you and a painful punishment from us will befall you'

They answered 'We predict evil of you. If you do not desist, we will stone you and a painful punishment from us will befall you'

Very dumb approach simply compartmentalize. Put those things whose evolution we could predict and I don't mean that we could say whatever would actually happen in the future, but we have some certainty of the spectrum of whatever would happen in the future put those in boxes designed specifically for it, and put the things that we can't predict on the rooftops.

It doesn't necessarily predict a win win outcome.

And, in fact, this idea can be used not just to predict epidemics of germs, but also to predict epidemics of all sorts of kinds.

The area in between is sort of an urban continuum, these things that we can't predict their evolution to the same degree.

It's always difficult to predict, especially about the future.

They predict the sensory consequences and subtract it off.

And you cannot predict the outcome of human development.

How can you predict the future? That's really hard.

No one could predict the outcome of this cooperation.

We can't predict, necessarily, what will happen in evolution, but we can learn some of the rules of the game, and that's really what we're trying to do.

And on the right are the more indeterminate spaces things like reading rooms, whose evolution in 20, 30, 40 years we can't predict.

The bottom line is that we can t predict where the threat will emerge, so we need a distributed, intelligent detection system. In practical terms, how should it be built?