How computers learn to recognize objects instantly

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August 4, 2017 Today's TED Talk How computers learn to recognize objects instantly 07:37 minutes · TED2017 Ten years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision systems do it with greater than 99 percent accuracy. How? Joseph Redmon works on the YOLO (You Only Look Once) system, an open-source method of object detection that can identify objects in images and video -- from zebras to stop signs -- with lightning-quick speed. In a remarkable live demo, Redmon shows off this important step forward for applications like self-driving cars, robotics and even cancer detection. Watch now »   Playlist of the Day Talks that prove you already live in the future That crazy, sci-fi future we all imagine? It's here. Watch » 10 talks · Total run time 2:06:36 NEW ON IDEAS.TED.COM Machines might actually be better than humans at creativity. So … what’s left for us to do? Some jobs -- and industries -- will still require a human touch. Technology researchers Andrew McAfee and Erik Brynjolfsson have a guess as to which ones. Read more »   Download the TED app

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