Posts
 |
| Follow on Twitter as @jillianiles |
But because people aren't gaining more time in the day, the company's algorithms have to be much more selective about what they actually show you.
 |
| Facebook CTO Mike Schroepfer |
"We need systems that can help us understand the world and help us filter it better," Schroepfer said at a press event prior to his appearance at the Dublin Web Summit Tuesday morning.
That's why the company's artificial intelligence team (called FAIR) has been hard at work training Facebook's systems to make them understand the world more like humans, through language, images, planning, and prediction.
It already has trained its computer vision system to segment out individual objects from photos and then label them. The company plans to present a paper next month that shows how it can segment images 30 percent faster, using much less training data, than it previously could.
Ultimately, Schroepfer explains, this could have practical applications like helping you search through all your photos to surface any that contain ocean scenes or dogs. Or, you could tell your News Feed that you like seeing pictures with babies, but hate seeing photos of latte art.
It could also come in handy for photo editing. For example, you could tell the system to turn everything in a photo black-and-white, except one object (like the image on the right).
These improving visual skills pair well with Facebook's language recognition.
Schroepfer says that the company is in the early stages of building a product for the 285 million people around the world with low vision capabilities and the 40 million who are blind that will let them communicate with an artificial intelligence system to find out details about what is in any photo on their feed.
"We're getting closer to that magical experience that we’re all hoping for," he says.
The team is also tackling predictive, unsupervised learning and planning.
Read more...
Source: Business Insider
