
The Never Ending Image Learner (NEIL) program is being run at Carnegie Mellon University in the United States.
The work is being funded by the US Department of Defense’s Office of Naval Research and Google.
Since July, the NEIL program has looked at three million images. As a result it has managed to identify 1,500 objects in half a million images and 1,200 scenes in hundreds of thousands of images as well as making 2,500 associations.
The team working on the project hopes that NEIL will learn relationships between different items without being taught.
via BBC News


