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 ...

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, ...

This research is expected to open up new frontiers in the realms of optical computing and machine learning. "In the burgeoning field of all-optical machine learning, nonlinear optical layers are key ...

Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural ...

Modern information technology (IT) relies on division of labour. Photons carry data around the world and electrons process them. But, before optical fibres, electrons did both—and some people hope to ...

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 ...

A research team led by The Chinese University of Hong Kong (CUHK) has developed a novel integrated all-optical signal processor (OSP) to address the massive data transmission demands of ...

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 ...