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A new AI camera recognizes objects faster and more efficiently

illustration looking down on an orange car with sensors around it
Getty Images/Andrey Suslov
Aug 17 2018
Fellow, Research, Stanford

The image recognition technology used in today’s autonomous cars and aerial drones as well as tomorrow’s cancer-seeking robotic medical devices, all depend on artificial intelligence.

These “computers that see” teach themselves to recognize objects — a dog, a pedestrian crossing the street, a stopped car or a cancer tumor.

Now, researchers at Stanford University have devised a new type of camera system that can classify images faster and more energy efficiently, and that could one day be built small enough to be embedded in the devices themselves, something that is not possible today.

Contributing author Vincent Sitzmann is a 2017 Stanford Graduate Fellow.