By ucla ita Researchers at the UCLA Samueli School of Engineering, in collaboration with the Optical Systems Division at Broadcom Inc., reported a broadband, polarization-insensitive unidirectional imager that operates in the visible spectrum, capable of...
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By ucla ita Diffractive deep neural networks (D2NNs) are optical systems composed of successive transmissive layers optimized through deep learning to perform computational tasks in an all-optical manner.
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By ucla ita The team from UCLA has introduced an information-hiding camera that integrates an optical encoder with an electronic decoder, jointly optimized through deep learning.
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By ucla ita Scientists at UCLA have unveiled a groundbreaking technology that could revolutionize the fields of imaging and optical communications.
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By ucla ita Traditional optical imaging technologies rely on intensity-based sensors that can only capture the amplitude of light, leaving out the crucial phase information.
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