A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive.

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

Optical 3D metrology enables fast, non-contact surface roughness measurement of defects and roughness for precise ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Ray3 Modify introduces the next-generation hybrid-AI workflow for acting and performance, enabling brands and studios to guide scene evolution with greater predictability, continuity, and intent.

The business world moves at rapid speed and for companies with smaller teams, it can be challenging to keep up. The good news is that with the help of AI agents, SMBs with fewer resources get what ...