like computational irreducibility.

computational social science.

The computational power is amazing.

Computational Modeling to Study Conflicts and Terrorism.

It's more effective than just computational aids.

Computational Linguistics is a discipline between language and computer science which is concerned with the computational aspects of the human language.

I'm a college student, majoring in Computational Linguistics.

It also brings up new issues, though, like computational irreducibility.

So that's essentially the computational equivalent of two light switches.

In this computational problem we're given as input two numbers,

Computational linguistics is also defined in Wikipedia as science that deals with the statistical and or rule based modelling of natural language from a computational perspective .

Computational biology uses dynamic programming algorithms to measure similarity among genomes.

When you put it all together, it's quite a computational challenge

But it's going to work. It's more effective than just computational aids.

This is the result of computational geometry, gesture recognition, and machine learning.

Any serious candidate for our universe is inevitably full of computational irreducibility.

Modeling on the right hand side, there's a very complex computational model.

You can just build a computational body, an avatar, a monkey avatar.

While in principle, chess is solvable, the game s computational complexity is almost incomprehensible.

Can you please tell us more about your field of study computational linguistics?

In a sense, we can use the computational universe to get mass customized creativity.

But where I think computational speed is most applicable is in that of imaging.

Here's the problem Any serious candidate for our universe is inevitably full of computational irreducibility.

Andrew Ng So in large scale machine learning, we'd like to come up with computational ...

But I wanted to look not at the astronomical universe, but at the computational universe.

And I might not show you because it's super computational. It'll take a long time.

My career path led me to become a computational neuroscientist, so in my day job,

So, we got the whole thermodynamics department at Stanford involved a lot of computational fluid dynamics.

We are taking a pattern someone discovered, and we're saving an immense amount of computational cycles.

Social simulation is a research field that applies computational methods to study issues in the social sciences.

Could it be that someplace out there in the computational universe we might find our physical universe?

I actually had my own lab in the Computational Neuroscience department, and I wasn't doing any neuroscience.

(Video) Robert Ghrist So in large scale machine learning, we'd like to come up with computational ... (Applause)

But we can also do a new form of computational photography, with time lapse and color coding.

Well, it turns out we can do very much the same kind of thing in the computational universe.

So, the great thing about 2006 is there's a lot of really great computational work you can do.

In, say, computer graphics, you need the computational primitives that are supplied by the study of geometric algorithms.

For example, the study of quantum computation has provided a new and computational view point on quantum mechanics.

No single problem solving method that's guaranteed to unlock all of the computational problems that you're likely to face.

Advances in computational PIR The first single database computational PIR scheme to achieve communication complexity less than formula_2 was created in 1997 by Kushilevitz and Ostrovsky and achieved communication complexity of formula_3 for any formula_4, where formula_2 is the number of bits in the database.

But after that, I actually had my own lab in the computational neuroscience department, and I wasn't doing any neuroscience.

We've all, I think, become, sort of computational chauvinists, and think that computation is everything, but the mechanics still matter.

As such, computational genomics may be regarded as a subset of bioinformatics and computational biology, but with a focus on using whole genomes (rather than individual genes) to understand the principles of how the DNA of a species controls its biology at the molecular level and beyond.

The first meeting of the Annual Conference on Computational Genomics was organized by scientists from The Institute for Genomic Research (TIGR) in 1998, providing a forum for this speciality and effectively distinguishing this area of science from the more general fields of Genomics or Computational Biology.

In Cryptography In cryptography, a system has provable security if its security requirements can be stated formally in an adversarial model, as opposed to heuristically, with clear assumptions that the adversary has access to the system as well as enough computational resources.