Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Performance gaps begin to appear when employees complete their education and return to their complex, time-pressured roles. That’s the real cost of classroom training. There’s a disconnect between ...

Physics-based machine learning unlocks 3D printing potential, thanks to work from Lehigh University's Parisa Khodabakhshi.

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

X-ray absorption spectroscopy (XAS) provides valuable information about a material’s properties and electronic states.

A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene and ...

Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.

Researchers have solved the complex "peg-in-hole" assembly challenge with a deep reinforcement learning system.

A preschool that fosters learning through play looks around. Classrooms are well lit, multicolored, and abound with materials ...

The AI revolution is bringing with it a whole new vocabulary to describe its advances. This glossary will help you stay up-to ...