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 ...

The difference between success and costly engineering iteration often lies not in the lighting components themselves, but in how those components are specified, customised, and in ...

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

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

Quantum computing has spent years in the realm of lab demos and marketing decks, promising breakthroughs that never quite arrived at commercial scale. With NTT now tying its long-term network vision ...

METRIOS shopfloor measuring systems include a wide choice of models and degrees of accuracy, offering perfect measurement solution for all types of components: from automotive, aerospace, and medical ...

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

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 ...