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 ...

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, ...

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

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

AI-powered tiny optical device corrects distorted light in a single image, enabling sharper imaging for microscopy, astronomy ...

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 ...

Can one see through a scattering medium like ground glass? Conventionally, such a feat would be deemed impossible. As light travels through an opaque medium, the information contained in the light ...

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

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 ...

Blurry light from lens imperfections is a problem everywhere, from microscopes to telescopes to smartphone cameras. Using a tiny yet carefully engineered optical element and artificial intelligence, ...