An accuracy rate of 97.25 percent is fairly impressive in most cases, and when it comes to facial recognition, DeepFace, a facial-verification software project being developed by Facebook, reached that level, according to a research paper released by the social network last week, which added that human beings shown two unfamiliar photos of faces were able to identify whether or not the subjects were the same person 97.53 percent of the time, barely edging out DeepFace.
MIT Technology Review
Facebook wants to know even more about its users than it already does, and an eight-employee group referred to within the company as the AI (artificial intelligence) team is quietly working on incorporating deep learning technology, which uses simulated networks of brain cells to process data, MIT Technology Review reported.
What is that makes Facebook’s graph search tick? The entity graph — Facebook’s set of place-specific data. Every time users are prompted to describe a little more about places where they checked in, that’s the entity graph at work. It’s Facebook’s way of making sure the real world comes across accurately on the social network. Mashable recently took a look at what the entity graph is and how it fits into graph search.