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

Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.

A machine-learning model can identify the action in a video clip and label it, without the help of humans.

“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.

Study uncovers overlooked environmental impacts of internet use by estimating associated carbon, land, and water footprints.

A new computational imaging method could change how we view hidden information in scenes.