Patrick Pensabene, MEng '14, shares his experience in the ECE master's program at Duke University. A rigorous curriculum plus supportive faculty with industry connections opened the path to the exact career he wanted in high-performance computing.
Aaron Franklin shows that a common lab setup can inflate 2D transistor performance by up to five times, raising questions about how future chips are benchmarked.
Duke engineers show how a common device architecture used to test 2D transistors overstates up to sixfold their performance prospects in real-world devices.
Digital communications pioneer recognized for foundational contributions to technologies enabling billions of devices from early modems to modern smartphones.
Aaron Franklin studies nanomaterials as disruptive complements or replacements for conventional silicon technology.
Cynthia Rudin has been named a fellow of the world's preeminent computing society — the Association for Computing Machinery — for her contributions to and leadership in interpretable machine learning and societal applications.
Hai “Helen” Li studies neuromorphic computing and AI hardware from a design and computer architecture perspective.
Duke Quantum Center researchers use a neutral-atom platform to simulate unusual localization effects that could underpin robust quantum information storage.
The Athena AI Institute brought together prominent stakeholders to further the global collaborations needed to scale edge AI.
Neil Gong joins other AI security experts in weighing in on whether or not it will be possible in the near future to launch a secure AI assistant that can navigate threats such as "prompt injection."
Tania Roy is associate professor of electrical and computer engineering whose work focuses on developing novel hardware for AI.
Haozhe “Harry” Wang pioneers atomic-scale semiconductor manufacturing to push electronics beyond silicon.
