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.

Ensuring the structural safety of bridges, tunnels, construction machinery, and other critical infrastructure is essential for public safety, economic ...

Joint modules are key execution components of robots, and their performance directly determines the robot's motion capabilities, precision performance, and interaction safety. To meet the increasingly ...

Researchers from Shenyang Jianzhu University have published a comprehensive review on the technological advances and practical applications of intelligent inspection robots for structural health ...

Anthropic has finally released Claude's learning mode — a feature built for schools — to the public. We tested out how good ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

In the fields of intelligent manufacturing and automation, the technological innovation of end effectors has always been the core driving force behind industrial upgrades. Among these, soft touch ...

A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...

The U.S. dollar’s dominance as the world’s reserve currency faces its most organized challenge yet from the BRICS nations, but fundamental structural barriers make displacement unlikely in the ...