Using the Physics of Radio Waves to Empower Smarter Edge Devices
Duke engineers publish new method to use analog radio waves to boost energy-efficient edge AI.
Duke engineers publish new method to use analog radio waves to boost energy-efficient edge AI.
PhD students Dylan Matthews and Sazzadur Rahman presented amorphous oxide semiconductor research at the IEEE IEDM conference.
Shaundra Daily was recognized for her contributions to computing education, and Nicki Washington was recognized for contributions to broadening participation in computing.
Litchinitser was honored for contributions to the photonics field, including antiresonant photonic-crystal fibers and structured light engineering.
Tingjun Chen part of a new $3.8 million NSF grant for COSMOS³, a project to expand and enhance New York City’s urban wireless testbed in West Harlem.
Chen joins a multi-institution team to advance analog neural network accelerators toward large-scale deployment.
Duke Engineering spinoff company Extellis announced an oversubscribed $6.8 million round of seed funding.
Through pioneering neuromorphic computing research, Yiran Chen is developing brain-inspired hardware neurons that could lead to faster, smarter and more energy‑efficient AI.
Several interdisciplinary projects are using virtual and augmented reality to push the frontiers of physical and mental therapies.
Household robots and AI assistants illustrate how personality can make technology more approachable, while also amplifying ethical dilemmas.
Duke’s investment in state-of-the-art research tools empower scientists and engineers to uncover microscopic insights about everything from electronics to medicine.
At the Duke Langford Lecture, Roy outlined her vision for a smarter, greener solution to AI demands.