Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...

Diffractive optics harness microscale surface relief patterns to sculpt optical wavefronts through diffraction, offering compact, lightweight alternatives to conventional refractive lenses. Recent ...

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 ...

Increasingly complex applications such as artificial intelligence require ever more powerful and power-hungry computers to run. Optical computing is a proposed solution to increase speed and power ...

All-optical image denoising using diffractive visual processors. Credit: Ozcan Lab UCLA While image denoising algorithms have undergone extensive research and advancements in the past decades, ...

The recent breakthroughs in miniaturized, efficient sensors, particularly in portable field applications, have utilized resonant optics in achieving ...

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 ...

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 ...

Please provide your email address to receive an email when new articles are posted on . Twelve years ago at the AECOS meeting, a program chair asked the audience if in 10 years we would be able to ...

In recent years, the rapid growth of artificial intelligence and the Internet of Things (IoT) has driven a surge in computational demand. Traditional electronic computing, however, is approaching its ...

The double-slit experiment, first performed by [Thomas Young] in 1801 provided the first definitive proof of the dual wave-particle nature of photons. A similar experiment can be performed that shows ...

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 ...