The LEVAN (Learning EVerything About ANything) is a visual processing search engine developed by computer scientists from Allen Institute for Artificial Intelligence in Seattle and the University of Washington. It is capable of teaching itself about any visual concept without any human supervision during the operation. LEVAN learns which terms are relevant by analyzing the content of the images found on the Web and identifying characteristic patterns across them using recognition algorithms. The funds for the research on LEVAN was provided by the U.S. Office of Naval Research and the National Science Foundation. It was initially rolled out in March and as of 21 June 2014, users can browse a library of about 175 concepts with it.
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