However the software, dubbed the Never Ending Image Learner (NEIL) and it was designed to search for images and do its best to understand these images on its own. The program runs on two clusters of computers that include 200 processing cores which is a little more than the average human can manage without coffee. As NEIL grows a visual database it is expected to gather common sense on what is being dubbed a “massive scale.”
The designers have already shown some unique findings that could be chalked up to common sense, such as “Deer can be a kind of / look similar to Antelope,” and “Trading Floor can be / can have Crowded.”
Abhinav Gupta, assistant research professor in Carnegie Mellon’s Robotics Institute said that images were the best way to learn visual properties. People learn this by themselves and, with NEIL, we hope that computers will do so too.