Where feasible.

It's just not feasible.

I'm sweating, this is so computationally intensive

Actually, computationally, it would be impossible to create.

That interpretation is quite possible and feasible.

But when something is feasible in thousands of

This is a feasible goal, basically because, contrary to widespread assumption,

There's actually one going into human trial, so this is feasible technology.

A feasible way to gain passwords is to circumvent your search result pages.

And in terms of climate change, is something that is not actually feasible.

As the price performance makes new applications feasible, new applications come to the market.

It is computationally very inefficient, so you have to basically go over the entire state space.

His plan seemed to be too difficult, but before long it proved to be feasible.

And so I think it's really quite feasible that happiness does not cost the earth.

Whereas for preconditions, it's frequently feasible to come up with the right level of precision.

So, we were fairly convinced we are convinced that recovery is feasible, despite extended visual deprivation.

This is a reconstruction of Notre Dame Cathedral that was done entirely computationally from images scraped from Flickr.

Of course then, it wasn't feasible for me but for some reason, that did not stop me.

It can be expensive, not feasible, unethical, or, frankly, just not possible to do such a thing.

And hopefully you are already are thinking about how you might actually implement this merge in a computationally efficient way.

But here we need ways to interpret leveraging neighbors to make sure that the subspace itself becomes a feasible subspace.

And of course not the amount of effort involved from asking every voter is paramount to running the entire election itself, which in this small group of people maybe five or ten is feasible but in a group of hundreds of millions of people isn't feasible.

We can perform low cost mass recruitment for clinical trials, and we can make population scale screening feasible for the first time.

So you can use that property in general, though you'll very seldom see something like this, because computationally it would take you forever to do it.

lot of features and you might up overfitting the training set, and it can also be computationally expensive, you know, to be working with that many features.

But in the future we're going to talk about a little bit more how do we think about how computationally intensive different ways of implementing a function, can be.

These are some designs from Eric Drexler's book which we're now showing are feasible with super computing simulations, where actually there are scientists building molecule scale robots.

This curves is often called a bell curve because it's quite feasible to think of it as a church bell that's move left and right and rings the bells.

However, when we're not at TED, we are often told that a real sustainability policy agenda is just not feasible, especially in large urban areas like New York City.

That's a mouthful but it turns out that this is the world's best way to go through big data sets, huge data sets in a way that was just computationally not possible before.

Unfortunately, we mentioned earlier that often a finite grammar has an infinite number of strings, so spending an infinite amount of time to enumerate them all is probably not feasible, but let's try it anyway.

One of the reasons for this resurgence is that Neural Networks are computationally some what more expensive algorithm and so, it was only, you know, maybe somewhat more recently that computers became fast enough to really run large scale

It turns out linear algebra isn't just useful for linear regression models but these ideas of matrices and vectors will be useful for helping us to implement and actually get computationally efficient implementations for many later machines learning models as well.

So what we do is we send that bullet that packet of photons millions of times, and record again and again with very clever synchronization, and from the gigabytes of data, we computationally weave together to create those femto videos I showed you.

There's something sacred about a space where you can work on a project, and you don't have to justify to anyone that it's going to make a lot of money, that it's going to save mankind, or even that it's feasible.

Something that seemed so impossible just a few years ago, the notion that developing nations could achieve universal coverage, is now not only increasingly being regarded as feasible, but as the next step in continuing to make sustainable global health progress.

And the reason why they work so well is they're really easy to implement, they're computationally efficient in the sense that they really put the computational resources where they are needed the most, and they can deal with highly non monotonic and very complex posterior distribution that have many peaks.

But, for subtle reasons, that we will see later, it turns out to be much more computationally efficient to make predictions on all of the prices of all of your houses doing it the way on the left than the way on the right than if you were to write your own formula.

Maybe you're given a road network with an origin and a destination, and you want to compute the shortest path from point A to point B. Maybe you're given a bunch of tasks with deadlines, and you want to know whether or not it's feasible to accomplish all of those tasks by the respective deadlines.

let me, let me just do Fibonacci of like 6, and your gonna see how many calls to Fibonacci it had to do so it had to do all of these calls, all of these calls, to fibonacci so it was actually very computationally intensive thing to do. but it, you know, the computer's are super fast, so you dont even notice it.

Mexico and the US must be sensitive to domestic political concerns in both countries. No immigration deal is feasible north of the border without addressing security matters south of the border, there is no conceivable Mexican cooperation on border security or on a Temporary Workers Program if immigration reform ignores the nearly five million Mexican citizens without papers currently living in the US.