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.

Joseph Redmon: How computers learn to recognize objects instantly

How computers learn to recognize objects instantly

Object detection evolution allows real-time identification and interaction understanding, critical for innovations like autonomous vehicles.

YOLO's single neural network revolutionized object detection, providing real-time identification from zebras to stop signs.

From self-driving cars to cancer research, YOLO's rapid object detection empowers global advancements in diverse fields.