With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.

The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.

Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems.

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

Produced with techniques borrowed from Japanese paper-cutting, the strong metal lattices are lighter than cork and have customizable mechanical properties.