A nanophotonic diffractive network performs morphological image processing, including dilation and erosion, purely through light propagation.

A new publication from Opto-Electronic Advances, 10.29026/oea.2024.230005 discusses Pluggable multitask diffractive neural networks based on cascaded metasurfaces. Deep learning algorithms based on ...

Thanks to a set of unique properties, diffractive optical elements have the potential to transform light into almost any desired distribution. Joshika Akhil gives the low-down on the technology that ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. Solar power has long been coveted as an energy source for vehicles ...

Scientists have been floating designs for solar sails to propel spacecraft for decades, but a new approach being developed by a Rochester Institute of Technology professor could be the key to helping ...

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 ...

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 ...

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 ...