Engineers unveil a soft wearable that uses AI to interpret everyday gestures even in high-motion environments like running or ...

The path forward for AI in medicine involves careful development and testing. We need to make sure that as we integrate these ...

IRT Jules Verne, working with Airbus, Daher and French consortium developed a mobile robotic inspection platform that uses ...

Women in the Field: Here is Marlane Williams’ journey to getting back to what she cares about most, owning a dairy farm. Marlane Willams grew up on a family farm near Renick, Mo., just north of ...

At the heart of industrial productivity lies the ability to cut through the toughest materials without compromising stability ...

A decade ago, at age 55, Don Lewis suffered a stroke in his sleep. When he woke up, he couldn't move his left arm or leg.

The Six Little Dragons Wuzhen Dialogue, held on November 7, was one of the most anticipated moments of the conference. Their ...

Beyond road tests, the project integrates smart infrastructure. At a low-carbon green charging station, the bus autonomously ...

AI-powered wearable cleans noisy motion signals to let users control machines with simple gestures in real-world conditions.

Joanna Hoh, a biomechanics and movement science (BIOMS) doctoral student at the University of Delaware, tests Don Lewis’ sensory loss in his arm post-stroke using a KINARM robotic exoskeleton.

Engineers at the University of California San Diego have developed a next-generation wearable system that enables people to control machines using ...