11 min listen
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Length:
8 minutes
Released:
Aug 4, 2017
Format:
Podcast episode
Description
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.
Released:
Aug 4, 2017
Format:
Podcast episode
Titles in the series (100)
Siri, Alexa, Google ... what comes next? | Karen Lellouche Tordjman: From Siri to Alexa to Google, virtual assistants already permeate our lives. What will the next generation of these digital helpers look and sound like? by TED Tech