200x faster: New camera identifies objects at speed of light, can help self-driving cars
SMRTR summary
Scientists have developed a new compact camera for computer vision that identifies objects at the speed of light, 200 times faster than conventional neural networks. The camera uses meta-lenses and optical neural networks to reduce power consumption and enable faster processing, with potential applications in self-driving vehicles, robotics, and smartphones.
SMRTR provides this summary for quick context. The original article belongs to Interesting Engineering.
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