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Researchers from Duke University have developed a unique framework that enables robots to perceive objects outdoors, much like humans do.

A team of researchers at Duke University have invented a program that uses written prompts to build personalized robots.

Christine Payne pens an op-ed based on her time spent at the State Department’s Bureau of International Security and Nonproliferation, where she helped monitor scientific advances across the globe and coordinate with allies to ensure the protection of new technologies.

Text2Robot represents a shift in human-machine interaction comparable in scope to the arrival of the graphical user interface in computing.

Boyuan Chen and his team have developed a platform called CREW that is used to create algorithms to optimize human-AI cooperation.

To slow down your perception of time passing, Adrian Bejan suggests slowing down a little more, forcing yourself to do new things to get away from the routine.

Stefano Curtarolo provides insight on a proposed method to quickly and cheaply synthesize an emerging class of super hard materials

Olivier Delaire used the power of neutron scattering and large-scale computer simulations to figure out what's going on inside these materials.

Matthew Becker helps create polymers made like miniature chainmail armor that have strange—and useful—properties

Boyuan Chen's new framework enables AI to learn through real-time human feedback, paving the way for more responsive AI systems

Duke researchers have developed a new solvent-free polymer resin specifically designed for DLP printing that not only eliminates shrinkage problems with finished pieces but also results in improved mechanical properties of the part.

Created by Boyuan Chen's lab, SonicSense allows robots to interact with their surroundings in ways previously limited to humans