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 ...

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, ...

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 ...

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 ...

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 ...

Now you see it: A schematic of the experiment, in which an optical diffractive camera hides information by concealing it within ordinary-looking “dummy” patterns. (Courtesy: A Ozcan) Information ...

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 ...

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

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 ...