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

A new wearable system uses stretchable electronics and artificial intelligence to interpret human gestures with high accuracy even in chaotic, high-motion environments.

"This successful test marks a major step forward in the development of future satellite control systems." For the first time, ...

In recent years, robots have increasingly become integral in enhancing human life, particularly with the growing demand for mobile robots with high ...

Abstract: While data augmentation (DA) has been extensively studied in computer vision, its application to Inertial Measurement Unit (IMU) signals remains largely unexplored, despite IMUs’ growing ...

Engineers have developed a next-generation wearable system that enables people to control machines using everyday gestures — ...

Abstract: Flexible strain sensors for monitoring human motion require a wide working range and high sensitivity. Here, we present a mechanically flexible and fully integrated capacitive strain sensor ...

Dr. Marcus Hale, a physicist at the University of Cambridge, has proposed a fascinating theory that could potentially ...

In the most talked-about film from the final year of the 20th century, “The Matrix,” a computer hacker named Neo finds that ...

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.

Ansible Motion and IAAPS Limited to create a new Vehicle-in-the-Loop (VIL) development validation environment.