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Algorithms in sentence

404 examples of Algorithms in a sentence

"Neural networks" is the technical term for these machine learning algorithms.
Google is based on algorithms, and they provide you with commonly searched terms, or suggested hits, based on what other people are searching surrounding the same topic.
Before it can navigate this onslaught of obstacles, the car has to detect them— gleaning enough information about their size, shape, and position, so that its control algorithms can plot the safest course.
And so, here are four different rhinoviruses, and you can see, even with your eye, without any fancy computer pattern-matching recognition software algorithms, that you can distinguish each one of these barcodes from each other.
I'll be very short on genetic algorithms.
So we tried to come up with a way to use genetic algorithms to create a new type of concentrator.
So using that new twist, with the new criteria, we thought we could relook at the Stirling engine, and also bring genetic algorithms in.
Now, when we do think about the future, we tend to focus on predicting exactly what's next, whether we're using horoscopes or algorithms to do that.
Today, our signal detection algorithms can find very simple artifacts and noise.
It may be hard for your eye to see it, but it's easily found with our efficient algorithms.
The first step would be to tap into the global brain trust, to build an environment where raw data could be stored, and where it could be accessed and manipulated, where new algorithms could be developed and old algorithms made more efficient.
We'd like to use the pattern recognition capability of the human eye to find faint, complex signals that our current algorithms miss.
On the other hand, it's an open buffet, frankly, for rumors, opinions, emotions, amplified by algorithms.
Artificial neural networks already run our internet search engines, digital assistants, self-driving cars, Wall Street trading algorithms, and smart phones.
It's just not true that more facts will make everything OK, because the algorithms that determine what content we see, well, they're designed to reward our emotional responses.
And besides, many of these companies, their business model is attached to attention, which means these algorithms will always be skewed towards emotion.
And Danny Hillis, a software architect, is designing a new system called The Underlay, which will be a record of all public statements of fact connected to their sources, so that people and algorithms can better judge what is credible.
Since then, I've been developing algorithms to analyze biological data.
And by collecting more and more data about metabolites and understanding how changes in metabolites leads to developing diseases, our algorithms will get smarter and smarter to discover the right therapeutics for the right patients.
With my visual artist colleagues, we map complex mathematical algorithms that unfold in time and space, visually and sonically.
We're now going to move from real biological data to biogenerative algorithms that create artificial nature in our next artistic and scientific installation.
In this artistic and scientific installation, biogenerative algorithms are helping us to understand self-generation and growth: very important for simulation in the nanoscaled sciences.
These generative algorithms grow over time, and they interact and communicate as a swarm of insects.
CA: This is "Minority Report," essentially, a form of. NB: You would have maybe AI algorithms, big freedom centers that were reviewing this, etc., etc. CA: You know that mass surveillance is not a very popular term right now? (Laughter) NB: Yeah, so this little device there, imagine that kind of necklace that you would have to wear at all times with multidirectional cameras.
(Speaks Spanish) We have lost the space for nuanced debate, we have no time, so we simply respond with approval or disdain, and we let algorithms take over.
Another is that we need to strap everything down because current eye-tracking algorithms don't have the robustness that we need.
We live in an age when knowledge of emotions is an extremely important commodity, where emotions are used to explain many things, exploited by our politicians, manipulated by algorithms.
Everyone has a birthday, but not everyone knows their birthday, so we wrote algorithms to handle estimated birthdates as complete dates.
We believe in human recommendations over algorithms.
Given raw facts or data to actually answer questions, one has to compute: one has to implement all those methods and models and algorithms and so on that science and other areas have built up over the centuries.
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