Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

Researchers at Chalmers University of Technology have developed a machine learning system that learns ...

In the present big data era, data is growing exponentially, and optical networks serve as the backbone for high-capacity and long-distance data transmission. Optical networks are always large scale, ...

Studying physics can be very useful—even when it comes to machine learning. A digital "super-brain" with built-in knowledge ...

A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...

You look at an image of a black circle on a grid of circular dots. It resembles a hole burned into a piece of white mesh material, although it’s actually a flat, stationary image on a screen or piece ...

Blurry light from lens imperfections is a problem everywhere, from microscopes to telescopes to smartphone cameras. Using a ...

With the aggressive scaling of semiconductor devices, the increasing complexity of device structure coupled with tighter metrology error budget has driven up Optical ...

a.The architecture of the all-optical CNN for OAM-mediated machine learning, which can be applied to encode a data-specific image into OAM states. The photonic neural network comprises a trainable ...