A new class of synthetic materials could lead to wireless devices that are smaller, require less signal strength, and use less power.

The ambient light sensors responsible for smart devices’ brightness adjustments can capture images of touch interactions like swiping and tapping for hackers.

With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.

BrushLens, a smartphone case, could increase touchscreen accessibility for people with visual impairments, researchers say.

The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.

By synchronizing media streams transmitted from the cloud to two devices, researchers could improve cloud gaming and AR/VR applications.

Developed by MIT researchers, BrightMarkers are invisible fluorescent tags embedded in physical objects to enhance motion tracking, virtual reality, and object detection.

Focusing on the deadly consequences of texting and driving but avoiding making people feel like they have no choice could change behavior.

A Lincoln Laboratory team visited Hill Air Force Base in Utah to determine how susceptible the latest-generation mobile network is to detection, geolocation, and jamming.

The receiver chip efficiently blocks signal interference that slows device performance and drains batteries.