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Algorithms in sentence

404 examples of Algorithms in a sentence

The imaging algorithms we develop fill in the missing gaps of the disco ball in order to reconstruct the underlying black hole image.
And so, my role in helping to take the first image of a black hole is to design algorithms that find the most reasonable image that also fits the telescope measurements.
Just as a forensic sketch artist uses limited descriptions to piece together a picture using their knowledge of face structure, the imaging algorithms I develop use our limited telescope data to guide us to a picture that also looks like stuff in our universe.
Using these algorithms, we're able to piece together pictures from this sparse, noisy data.
If we bake Einstein's equations too much into our algorithms, we'll just end up seeing what we expect to see.
We need a way to tell our algorithms what images look like without imposing one type of image's features too much.
When the results of our algorithms on the bottom look very similar to the simulation's truth image on top, then we can start to become more confident in our algorithms.
What we missed looking at these stories only through models and algorithms is what I call "data humanism."
So let's all share a bit of humanity towards the technologies and the softwares and the algorithms and the robots who we work with, because we will all be the better for it.
We offload our effort onto a network of others and algorithms.
That is, the legs can do computations on their own; the control algorithms, in a sense, are embedded in the form of the animal itself.
So much of this is justified in terms of human preference, where we've got these algorithms that do an amazing job of optimizing for human preference, but which preference? There's the preferences of things that we really care about when we think about them versus the preferences of what we just instinctively click on.
Let's bring our temple guides with the oracles, and whether this work happens in companies or nonprofits or government or even in the software, all of it matters, because that means we're collectively committed to making better data, better algorithms, better outputs and better decisions.
I mean, I love these guys, the former guys who used to take the algorithms from Las Vegas slot machines and put them in our social media feed so that we get addicted.
Now, with this kind of result, we can do a lot more with our computer vision algorithms.
That begs the question: What if the algorithms are wrong?
That's the first rule of algorithms.
It's really different from what you think most people think of algorithms.
They think algorithms are objective and true and scientific.
It's also a marketing trick to intimidate you with algorithms, to make you trust and fear algorithms because you trust and fear mathematics.
But algorithms can go wrong, even have deeply destructive effects with good intentions.
Algorithms don't make things fair if you just blithely, blindly apply algorithms.
The news organization ProPublica recently looked into one of those "recidivism risk" algorithms, as they're called, being used in Florida during sentencing by judges.
It's a process by which technologists hide ugly truths inside black box algorithms and call them objective; call them meritocratic.
When they're secret, important and destructive, I've coined a term for these algorithms: "weapons of math destruction."
These are private companies building private algorithms for private ends.
But by trusting the data that's actually picking up on past practices and by choosing the definition of success, how can we expect the algorithms to emerge unscathed?
And finally, we have to consider the long-term effects of algorithms, the feedback loops that are engendering.
That's because it's now easy to take algorithms and embed them into computers and gather all that data that you're leaving on yourself all over the place, and know what you're like, and then direct the computers to interact with you in ways that are better than most people can.
And those algorithms would be embedded in computers, and the computers would make decisions along with me; and so in parallel, we would make these decisions.
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