A project at Rice University has developed a new machine learning (ML) algorithm intended to improve the identification of biomarkers in optical spectra. As reported in ACS Nano, the algorithm could ...

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 ...

Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

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 ...

Researchers in Physics and Computer Science at the University of Strathclyde have pooled their knowledge of lasers and artificial intelligence (AI) to produce a technology that can significantly ...

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 ...