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Technology based on the invention could also be used in microscopic imaging and medicine, for example, to sort through millions of cells for signs of disease. And no energy is consumed to run the device because it only uses diffraction of light. The network identifies an object because the light coming from the object is mostly diffracted toward a single pixel that is assigned to that type of object. They also trained the device to act as a lens that projects the image of an object placed in front of the optical network to the other side of it — much like how a typical camera lens works, but using artificial intelligence instead of physics. The researchers then trained the network using a computer to identify the objects in front of it by learning the pattern of diffracted light each object produces as the light from that object passes through the device.

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Then, the researchers used a 3D printer to create very thin, 8 centimeter-square polymer wafers.

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For example, a driverless car using the technology could react instantaneously — even faster than it does using current technology — to a stop sign. The UCLA-developed device gets a head start. Then, the researchers used a 3D printer to create very thin, 8 centimeter-square polymer wafers.

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