Modern communication networks must handle ever-growing volumes of data, driven by cloud services, connected devices, and real ...

Researchers at Empa have developed machine learning algorithms that reduce preliminary testing in laser-based metal additive manufacturing by about two-thirds without compromising quality. Using ...

A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has made strides in the theoretical design of nonlinear optical (NLO) materials by ...

Laser-based metal manufacturing, including powder bed fusion (PBF) 3D printing, requires precise parameter settings that can change even between batches of identical material. Empa researchers Giulio ...

This study presents a quantum photonic approach to time-series forecasting, enhancing prediction accuracy through multiphoton ...

Dr. Xianxin Guo, CEO and Co-Founder of Lumai, is a physicist and deep-tech entrepreneur specializing in optical computing and AI hardware, with a PhD in quantum physics and nonlinear optics from the ...

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, ...

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.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 ...