New computer program aims to teach itself everything about anything

via University of Washington

via University of Washington

“The new program needs no human supervision, and thus can automatically learn the visual knowledge for any concept,”

In today’s digitally driven world, access to information appears limitless.

But when you have something specific in mind that you don’t know, like the name of that niche kitchen tool you saw at a friend’s house, it can be surprisingly hard to sift through the volume of information online and know how to search for it. Or, the opposite problem can occur – we can look up anything on the Internet, but how can we be sure we are finding everything about the topic without spending hours in front of the computer?

Computer scientists from the University of Washington and the Allen Institute for Artificial Intelligence in Seattle have created the first fully automated computer program that teaches everything there is to know about any visual concept. Called Learning Everything about Anything, or LEVAN, the program searches millions of books and images on the Web to learn all possible variations of a concept, then displays the results to users as a comprehensive, browsable list of images, helping them explore and understand topics quickly in great detail.

“It is all about discovering associations between textual and visual data,” said Ali Farhadi, a UW assistant professor of computer science and engineering. “The program learns to tightly couple rich sets of phrases with pixels in images. This means that it can recognize instances of specific concepts when it sees them.”

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