Facebook announced some new milestones it has achieved in its artificial intelligence research including the ability to train computers to identify objects in photos and understand natural language as well as predict and plan.

The advancements came from the company’s AI Research (FAIR) team, which will present them in a research paper at AI conference NIPS. The paper discusses details of a system that “segments, or distinguishes between, objects in a photo.” The system, Facebook says, segments images 30% faster and uses 10 times less training data compared to industry benchmarks.

Mike Schroepfer says in a Facebook Engineering post:

Many people think of Facebook as just the big blue app, or even as the website, but in recent years we’ve been building a family of apps and services that provide a wide range of ways for people to connect and share. From text to photos, through video and soon VR, the amount of information being generated in the world is only increasing. In fact, the amount of data we need to consider when we serve your News Feed has been growing by about 50 percent year over year — and from what I can tell, our waking hours aren’t keeping up with that growth rate. The best way I can think of to keep pace with this growth is to build intelligent systems that will help us sort through the deluge of content.

To tackle this, Facebook AI Research (FAIR) has been conducting ambitious research in areas like image recognition and natural language understanding.

You can watch a trio of demo videos here.