Algorithms weren't respectable enough for mathematics journals, and there weren't very many computing journals yet.
algorithms to tackle that.
Algorithms , are they accurate?
Algorithms are prejudiced. Algorithms are prejudiced.
Algorithms are driving a lot of our decisions.
algorithms operating it more efficiently.
algorithms .
Algorithms that are being worked on here were written back in the '40s and '50s.
Algorithms , they will exist.
algorithms and things like that will be more impacted by the amount of data that's available yeah we've actually uh
algorithms , I just learned what an algorithm was today.
Algorithms are nothing more than opinions embedded in code.
Algorithms are decision making processes that are as complicated as anything in the world.
algorithms on this data.
algorithms that can generate fractal-like patterns, that can generate complex internal geometries, that can map, let's say, a finite element model
Algorithms act as the bureaucrats, making decisions based on inscrutable, or secret, criteria, and we, the users, act as data producers and nodes
algorithms on stage and whatnot, you know, typing code.
algorithms on the web using the cloud.
algorithms work and to get more people to help us build a better product or service.
algorithms from the late 40s, you see lots of written on efficient ways to do multiplication and clever ways of doing long division.
Algorithms are programmed by business models that are productizing people for profit.
algorithms .
sorting algorithms ... See if there's minds inside those sorting inside those sorting algorithms .
Interest algorithms , we call them.
these algorithms .
As algorithms improve and data and compute keep increasing, AI could deep-learn its way to some pretty advanced stuff, like finding new treatments for cancer or achieving superintelligence.
And algorithms are not a new thing.
No algorithms worked with sonar.
--AI algorithms .
And algorithms ' recommendations will be-- I don't know any study about that.
by algorithms and people's interests.
on algorithms and pushing algorithmic analysis and big data.
the algorithms to get their propaganda campaigns to a really wide audience, and where social media has sometimes lent these campaigns a megaphone and made some of the really
Previous algorithms just randomly chose a few pieces and solved the problem multiple times and let the users decide which solution is better.
those algorithms will violate some of the social norms that we would expect of human decision makers when they were making those decisions.
Because algorithms are, in the end, tools.
But algorithms -- and when we say algorithms , we really mean models.
The algorithms are written almost entirely by men.
Evolutionary algorithms are optimizing algorithms .
And algorithms are showing us that's what we should do.
on algorithms , and math, and the beauty of mankind.
How algorithms are developed and the biases that they might be perpetuating.
So algorithms can actually identify individuals suffering from mental illness or depression.
use algorithms to take principles and put them into making decision-making systems.
And algorithms hide bias, and especially algorithms that are written by other algorithms .
the algorithms for anticipating all of the various different use cases in an
Our algorithms , they see the two images, and they do the following.
the algorithms that run how Netflix provides its movies.
Because algorithms are essentially owned by companies all over the world, and I'd be remiss to point out that I'm speaking at the offices of the company
by algorithms , but this whole kind of system progressing together and new kinds of operators, new kinds of vehicles, new kinds of systems,