The system at Carnegie Mellon University is called NEIL, short for Never Ending Image Learning. In mid-July, it began searching the Internet for images 24/7 and, in tiny steps, is deciding for itself how those images relate to each other. The goal is to recreate what we call common sense – the ability to learn things without being specifically taught.
It’s a new approach in the quest to solve computing’s Holy Grail: getting a machine to think on its own using a form of common sense. The project is being funded by Google and the Department of Defense’s Office of Naval Research.
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