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

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 ...

Researchers at the University of California, Los Angeles (UCLA) have developed a novel image projection system that delivers ...

Diffractive deep neural network is an optical machine learning framework that blends deep learning with optical diffraction and light-matter interaction to engineer diffractive surfaces that ...

NASA has funded further development of a new type of solar sail relying on diffractive optics, with the ultimate aim of a demonstration mission in space. The "Diffractive Solar Sailing" project has ...

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 ...

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 ...

PITTSBURGH, Jan. 10, 2023 (GLOBE NEWSWIRE) -- Coherent Corp. (Nasdaq: COHR), a leader in industrial laser optics, today announced that it introduced a product line of diffractive optical elements ...

Please provide your email address to receive an email when new articles are posted on . Over the course of the past decades, our IOL technology has continued to improve, particularly with the ability ...

A new article demonstrates distinct improvements to the inference and generalization performance of diffractive optical neural networks. A new paper in Advanced Photonics, an open-access journal ...

Recently there has been a reemergence of interest in optical computing platforms for artificial intelligence-related applications. Optics/photonics is ideally suited for realizing neural network ...

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 ...