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UCLA researchers developed a method to shape light pulses by creating physical networks composed of specially engineered photonic layers. Networks built on similar concepts, already capable of all-optical classification and image recognition, suggest that applications for the new technology span computing and AI.
The researchers created diffractive optical networks that take an input light pulse and pass through 3D-printed layers designed by deep learning, which then shape the output pulse leaving the optical network in a desired temporal waveform. The network was demonstrated in the terahertz region of the electromagnetic spectrum for the first time, according to the researchers, showing a synthesis of various forms of terahertz…READ MORE