A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring structural vibrations using diffractive optical processors. This new ...
Diffractive optical elements (DOEs) are flat or hybrid microstructured surfaces that shape light through diffraction rather than refraction. By sculpting surface relief or embedding subwavelength ...
Diffractive optics harness microscale surface relief patterns to sculpt optical wavefronts through diffraction, offering compact, lightweight alternatives to conventional refractive lenses. Recent ...
Spatially incoherent diffractive optical processors can handle data beyond non-negative values, potentially making them valuable in diverse scenarios, such as visual encryption and autonomous vehicle ...
A broad range of optical devices use nanostructured layers and surfaces to manipulate beams of light through diffraction and interference. Example devices include diffraction gratings, metasurfaces, ...
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Optical system uses diffractive processors to achieve large-scale nonlinear computation
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Subscribe to our ...
As a promising candidate for next-generation mobile platform, mixed reality (MR) such as Apple Vision Pro and Meta Quest Pro (both are passthrough virtual reality headsets) has potential to ...
Researchers have developed a new method for flexibly creating various needle-shaped laser beams. These long, narrow beams can be used to improve optical coherence tomography (OCT), a noninvasive and ...
Optical vortices—light beams carrying orbital angular momentum (OAM)—are characterized by helical wavefronts and phase singularities. While they have been widely studied in recent decades, two ...
The innovative AOFS-IC architecture enables fully optical-domain sensing, achieving remarkable speed and accuracy for ...
State-of-the-art neural networks depend on linear operations, such as matrix-vector multiplications and convolutions. While dedicated processors like GPUs and TPUs exist for these operations, they ...
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