The ad tech company Facebook recently announced plans to open an artificial intelligence lab at Stanford University, where it hopes to train its neural network for machine learning.
It’s a big deal for a few reasons.
The AI team would help make Facebook a much better ad network, and could help other tech companies build more sophisticated algorithms.
Facebook has said it will use AI to help it build its own ad services.
For now, it seems that AI isn’t the only technology it’s using to train neural networks.
Facebook also says that it will soon start using machine learning to analyze how users interact with its ads.
The announcement is significant because it signals a move away from traditional advertising, which relies heavily on humans to drive online ads.
Facebook is currently using AI to build its Facebook ads, but it will now use it to make other ads.
It may be a good thing, in theory.
If Facebook’s ad network can be trained to understand how people use its services, then it could be able to offer more targeted advertising.
That’s one of the reasons Facebook and Google have long been investing heavily in artificial intelligence research, in order to create more effective ads.
AI will help the company achieve that goal, says John Nilsen, the chief technology officer of research firm The Next Web.
Facebook’s machine learning team will likely be responsible for creating ads on Facebook’s own platform.
That means it will likely take on the responsibility for making ads that people actually want to see.
And, because the Facebook ads are coming from the AI, they’ll have a better chance of winning over users, Nilsens says.
“If you have a really strong AI that can understand what you’re trying to do, you’ll get a better impression.”
The company says it will also create an artificial-intelligence research lab at the university that will focus on applying AI techniques to the ad tech industry.
The lab will be called the Machine Learning Lab and will be located in Stanford’s Palo Alto campus.
“It’s a very exciting time for machine-learning,” Nilses says.
Facebook says the lab will begin work on its own AI platform, dubbed Adwords.
It will use artificial- intelligence to determine how ads work, how they appear, and whether they make sense.
This research could be used to build more advanced artificial-language processing systems, which are used to identify and present advertisements in a more sophisticated way.
Google’s artificial-agent lab at Google X has a similar goal.
It already uses artificial-word technology to create ads.
But Google’s lab is based at Google’s headquarters in Mountain View, California, where its artificial-agents work with Google’s Google Brain project.
That project is focused on building more powerful artificial-intelligent systems that can be used in more personalized ways.
Google X will be a lot smaller, but will still involve a lot of people, says Adam Cheung, a senior scientist at Google.
He says the goal is to build an AI lab that can take on this role of deep learning.
“This is an exciting time to be doing AI,” he says.
The news of the Stanford lab comes on the heels of a huge deal in social media advertising.
Facebook recently began testing an AI-powered ad network called AdWords.
Facebook will soon open an AI research lab in Stanford that will be responsible on behalf of the company for building an AI platform that can analyze and understand how users use its ads, and it will help other ad tech companies develop more sophisticated AI algorithms.
It also may be used for other advertising.
The Facebook AI lab, for instance, will likely focus on building out its own machine learning capabilities.
That will allow it to help build other ad networks, like Facebook’s, and help build the AI network itself.
“The Facebook AI Lab will build the machine learning infrastructure that will enable other ad network vendors to build out the same kind of capabilities we’ve already been building for the last six years,” Nilesen says.
Google has been developing AI technology for more than 20 years.
It has developed its own algorithms for image recognition, for example, which can be deployed to help search engines understand human faces.
Google recently said that it’s already working with Facebook to build artificial-to-human speech recognition, which could help it improve its Google Now voice search feature.
That technology could be useful in building personalized search results, too.
It could help Google improve its artificial intelligence capabilities to help people find ads on its platform.
In other words, Google’s AI will likely have some of the same kinds of uses as Facebook’s.
And it will be able help Google build better ads and better ways to build targeted ads.
For Facebook, that means it can also use AI technology to help its ad networks make more targeted ads that more closely match its users’ interests and preferences.
Facebook could also use machine learning technology to build ads that are better for the company, and for other ad-tech companies.
That would help Facebook become a much more effective ad network.
And Google will be