Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can ...

Experimental design work with laser welding of steel retaining rings carried out using a collaborative robot has begun at the Central Design Bureau of Mechanical Engineering in St Petersburg. (Image: ...

MANKATO — Minnesota State University’s robotics project that kicked off this week helps high school and college students put their heads together and sparks interest in engineering. The week-long ...

Most people still picture science as a person in a white coat, pipette in hand. That image is stubbornly accurate. Even in 2025—after decades of lab robots, high‑throughput screening, and cloud ...

The development of a fully autonomous surgical robot represents a great achievement in the integration of artificial intelligence and medicine. For the first time, a robotic system was able to perform ...

Hospitality and live-event operations depend heavily on concentrated demand cycles, where a limited number of peak hours can account for a significant share of daily or event-based revenue. The ...

This is going to sound cold because it is - we can let China do this, then steal their training data. Life is cheap there and we can't change that because it's a cultural value and not ours to judge.

Physical AI robotics is rapidly moving from experimental pilots into real-world business environments. Unlike traditional industrial robots that follow fixed, pre-programmed routines, physical AI ...