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 ...

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 ...

Terahertz imaging exploits electromagnetic waves in the spectral region between microwaves and infrared (0.1–10 THz) to probe the internal structure and composition of a wide range of materials. It ...

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 ...

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 ...

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 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 ...

The feasibility of the concept was previously studied under NIAC’s Phase I and Phase II awards, led by Professor Grover Swartzlander from RIT’s Chester F. Carlson Center for Imaging Science, who ...

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 ...