Sentences with phrase «kind of algorithms»

MIT - Artificial Intelligence and Computer Science Laboratory researchers have been trying to pull some of the pressure out of large data set analysis through creating a kind of algorithms, which can identify fascinating features hidden behind a massive sea of figures.

His game, done without the kind of algorithms so many retail sites online now use, was a false one, using material that had been purchased years before.

These kind of algorithms can help screen videos and images for suspected terrorists, or to pick out signs of disease.

There's a new kind of algorithm that allows you to take a video of one person and map the face of another person onto his or her body.

That's because the kinds of algorithms that researchers have employed to comb sensor data are getting more advanced and user - friendly all the time, Mehrnezhad says.

Online dating sites use all kinds of algorithms.

To think they have some kind of algorithm in place to search keywords they feel identify a personal relationship is NOT out of the realm of possibility.

What may be happening is that Amazon is starting to truly look at Quality (via some kind of Algorithm) and downgrading those books which are clearly meant to simply strip and spin the mill for a few bucks.

Cleanly weighs and organizes the orders, packages them up for vendors, and supposedly uses some kind of algorithm to intelligently assign orders to different vendors so no one gets overwhelmed.

In POW kind of algorithm, those participants (miners) who solves the encrypted mathematical puzzle to verify the set of transactions are rewarded with new set of coins.

Proof - of - Stake (POS) is another kind of algorithm used in a cryptocurrency blockchain network.

Not exact matches

What Facebook means is that the algorithm chooses what to show you — as though the algorithm was some kind of omniscient entity, and not a thing programmed by flawed human beings.

Facebook controls what users see in two fundamental ways: Its news - feed filtering algorithm decides how to rank various kinds of content to make the feed more appealing, and a team of human beings flags and / or removes posts when they appear to be offensive or disturbing.

And we take another small version of that and might add different kinds of software to it, an algorithm, and we put it in a car.

In other words, Facebook, Twitter, and other services not only have a significant amount of control over who sees specific kinds of content because of their algorithms, but they are becoming more involved in creating it as well.

Video processing, machine learning algorithms, and networking are all places where big companies use FPGAs to their advantage, but what happens if smaller hobbyists start taking that kind of customizable processing power into their garages?

There are many kinds of blockchains that differ only in the way their algorithms (math) generate their ledgers.

What that ignores, of course, is that algorithms are programmed by human beings, and in the process of doing so a million decisions are made that are journalistic decisions, including how to rank different news sources and what kinds of news to exclude.

The social network may argue that it doesn't tell its publishing partners what they should be creating for that money, but the fact that it is pushing video — and that its algorithm clearly favors certain kinds of video content over other kinds — helps determine what gets promoted.

If you're in the kind of a job where maybe someone else can look at the record of what you've done in the past and — based on looking at that, studying it, practicing it and repeating it — they could learn your job, then there's a good chance that an algorithm could also do that.

This category of apps and services use algorithms that automatically predict what kind of content a user is most likely to be interested in at any point in time.

It's a harder problem to solve - you can always improve the quality of information you spread, but it's harder to come up with a mathematical algorithm that sorts data that doesn't have some kind of bias, one way or the other.

The same is true of Facebook, which constantly tweaks its algorithm to favor or suppress certain kinds of content.

Google has stated that «The right kind of links are still critical to their algorithm.

Even though algorithms decide so much of a citizen's life — what ads a person sees, what political messages they hear, what kinds of loans they can get, how they fair in the criminal justice system — these things are all under the sway of algorithms, and most consumers don't feel empowered to push back because they don't know the math.

YouTube's algorithm is rewarding that kind of content, particularly if viewers respond to it.

Amazon has described the device as a kind of digital fashion adviser, allowing people to upload photographs of themselves to get style recommendations through a combination of software algorithms and human fashion specialists.

Influencers create the kinds of signals that social network algorithms reward with higher visibility.

(The key here is curated — Amazon is wary of getting into the kinds of situations Google found itself ensnared in with kids» content on YouTube when algorithms ran amok.)

I'll admit that there's something to the idea of using computers, scripts, and algorithms to help you select stocks, analyze data, make use of indicators, and provide some kind of framework to your trading.

«In an adversarial environment where the algorithm is under attack, it's YouTube's responsibility to design the system in such a way that it is resilient to this kind of manipulation, even if that means including human moderators,» Wilson says.

Because the kinds of discussions that garner the most response get the most views, it's typically the most inflammatory content that rises to the top of the feeds: Algorithms ensure that the more controversial or dramatic the post, the more likely it is that people will see it.

Google's algorithms make sure that you get the kinds of results that will be most helpful for your search.

(«We could build a fancy algorithm, but kind of how the Supreme Court said you know pornography when you see it, you just know a hard schedule when you see it.»)

Hardly a month goes by that we don't see some kind of tweak made by Facebook to it's news feed algorithm.

Equally if not more important, scientists are using the classifications made by Zooniverse participants to develop more accurate machine - learning algorithms so that computers will be able to do this kind of work in the future.See for yourself: zooniverse.org

On the other hand, social scientists typically have not needed the kinds of computer algorithms that computer scientists need to route a data packet from one place to another on the Internet.

Even app developers who don't understand the inner workings of machine - learning algorithms can easily get this kind of code online to build sensor - sniffing programs.

«The previous quantum algorithm of this kind applied to a very specific type of problem.

Watson was apparently betting very strange and precise amounts such as like 6813 dollars and no one could really kind of figure out exactly why Watson was betting these amounts but clearly there's an algorithm somewhere that says it's the smartest thing to bet.

Apparently, the small purchase at Starbucks, followed by the overseas purchase of the cell phone card, had tripped some kind of antifraud data - mining algorithm in my credit - card company's computer.

Nowadays everyone in this field is pushing some kind of logical deduction system, genetic algorithm system, statistical inference system, or a neural network — none of which are making much progress because they're fairly simple.

Therefore, Danny Miller, an MD - PhD student at the University of Kansas Medical Center who is conducting his doctoral research in the Hawley lab, had to rely on whole genome sequencing and new computer algorithms to pinpoint the locations of both kinds of events.

A research team from Spain and Germany has now developed a first - of - its - kind algorithm that determines the minimal force it takes to reach the optimal bond breaking point (BBP) at the molecular level to mechanically induce a chemical reaction.

For a machine - learning algorithm that exhibits this kind of discrimination, Hardt's team suggested switching some of the program's past decisions until each demographic gets erroneous outputs at the same rate.

The algorithm picked out seven major kinds of clicks, which the researchers think are made by different dolphin species.

Users performing this kind of auditing could decide for themselves whether the algorithm's use of data was cause for concern.

They then developed an algorithm that examines several objective features of a perceived friendship (that is, the number of common friends or the total number of friends) and is able to distinguish between the two different kinds of friendship: unidirectional or reciprocal.

Deciding what kind of experiment to perform and how to set it up is too particular to each situation to give it over to an algorithm.

Try it Yourself To get an idea of what the speech separation algorithms are up against, see if you can hear the target words in some overlapping speech of the kind used in the challenge.