Tests confirm graphene-based energy harvesters can use ambient energy to run ultra-low power sensors — the first hurdle in developing autonomous sensor systems.

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

Motion data is well known for improving athletic performance and rehab. Thanks to AI, it’s also turning motion into another ...

To work toward getting around this issue, researchers used parabolic flights to simulate microgravity conditions, then 3D ...

As wearable health monitoring advances, the demand for flexible pressure sensors that combine high sensitivity, full-range ...

AI-driven predictive technology is reshaping warehouse safety. From smart cameras and sensors to wearables and VR training, ...

A new 10,000-square-foot hub at Bayview Medical Center is helping the Johns Hopkins Human Aging Project bring together a ...

I built a full-body generator suit that turns movement and heat into electricity. Wires, sensors, and pain were all part of ...

The Waymo expansion here accelerates the spread of machine-learning technology and may help self-driving cars overcome a ...

Manufacturers are advancing AI-powered initiatives to gain efficiencies, especially around maintenance, quality and energy ...

There has never been a time in history when algorithms, rather than humans, are making so many critical decisions.