Junjie Yao, an associate professor of biomedical engineering at Duke University, received the Young Investigator Award from the International Conference of Ultrasound Engineering for Biomedical ...

Duke’s Artificial Intelligence for Materials (aiM) program trains graduate students to use AI to accelerate materials discovery.

Haozhe “Harry” Wang, assistant professor of electrical and computer engineering (ECE) at Duke University and an expert in developing new methods for manufacturing materials, continues to push the ...

John Hickey, an assistant professor of biomedical engineering at Duke University, received an Early Career Research Grant from the Human Frontier Science Program (HFSP) for the project Coordination of ...

A new Duke-developed AI system fuses vision, vibrations, touch and its own body states to help robots understand and move through difficult in-the-wild environments.

Duke Civil & Environmental Engineering alumni look back on lessons learned from their uniquely structured senior capstone class.

Industry, government and academic leaders came together to share the latest developments in artificial intelligence (AI) and edge computing at the inaugural summit of the U.S. National Science ...

Duke roboticists present HUMAC, a new framework that enables robots to collaborate like humans with just 40 minutes of simple coaching.

On an overcast, and at times rainy, May weekend in Durham, students and their families and supporters celebrated the 101st class of graduates from Duke University. Within a jam-packed weekend ...

A Climate+ project built a data mining algorithm capable of connecting satellite imagery data to levels of salinity in coastal rivers, which could help communities prepare for the effects of climate ...

Interference patterns between overlapping laser beams could transmit encoded information over thousands of feet through chaotic environments.

Researchers have developed a platform called Text2Robot that leverages generative AI to design and deliver functional robots with just a few spoken words.