How We Teach Computers to Understand Pictures | Fei Fei Li

How We Teach Computers to Understand Pictures | Fei Fei Li

 

An associate professor of computer science at Stanford University, Fei-Fei Li is the director of Stanford’s Artificial Intelligence Lab and Vision Lab, where experiments exploring how human brains see and think inform algorithms that enable computers and robots to see and think.

In her talk, Li details how she founded ImageNet, a service that has downloaded, labeled and sorted through a billion images from the Internet in order to teach computers how to analyze, recognize and label them via algorithms. It may not sound like much, but it’s a vital step on the road to truly intelligent machines that can see as humans do, inherently understanding relationships, emotions, actions and intentions at a glance.

September 28, 2015 / by / in , , , , , ,

Leave a Reply

Show Buttons
Hide Buttons

IMPORTANT MESSAGE: Scooblrinc.com is a website owned and operated by Scooblr, Inc. By accessing this website and any pages thereof, you agree to be bound by the Terms of Use and Privacy Policy, as amended from time to time. Scooblr, Inc. does not verify or assure that information provided by any company offering services is accurate or complete or that the valuation is appropriate. Neither Scooblr nor any of its directors, officers, employees, representatives, affiliates or agents shall have any liability whatsoever arising, for any error or incompleteness of fact or opinion in, or lack of care in the preparation or publication, of the materials posted on this website. Scooblr does not give advice, provide analysis or recommendations regarding any offering, service posted on the website. The information on this website does not constitute an offer of, or the solicitation of an offer to buy or subscribe for, any services to any person in any jurisdiction to whom or in which such offer or solicitation is unlawful.