Thanks to the supercomputer that is our brain, we can make lightning-fast inferences and associations between images and situations. For a real computer, though, the same task is a bit harder. That kind of advanced visual processing requires significant artificial intelligence (AI) — the ability to perform humanlike cognitive tasks such as reasoning, generalizing and learning from past experience.
Yet, since summer 2013, NEIL — the Never Ending Image Learner — has been hard at work at Carnegie Mellon University analyzing and forming relationships between images from all over the Internet. The better the system gets, the closer we are to truly powerful AI and a new era of smart technology.
Made up of two computer clusters housing a total of 200 processing cores, NEIL is programmed to organize its database into three categories: objects (such as computer or Corolla), scenes (alley or church) and attributes (blue or modern).
Researchers left NEIL to itself to analyze online images, using an algorithm that allows it to build connections — the heart of its AI. Those