A Launch Pad for Human-AI Teaming
Researchers at Duke University’s General Robotics Lab present CREW, a platform facilitating seamless interaction between humans and AI to enable more intuitive and effective partnerships
Data Science, Advanced Computing & Intelligent Systems
Duke Engineering researchers are developing and deploying the power of computing to design autonomous systems, improve communications, glean useful insights from masses of data, detect disease and improve health, and enhance security in our world and cyberspace.
Major Centers and Initiatives
AI & Machine Learning
- AI/Machine Learning Group—Department of Electrical & Computer Engineering
- Computation & AI Group—Thomas Lord Department of Mechanical Engineering & Materials Science
- NSF AI Institute for Edge Computing Leveraging Next-Generation Networks (Athena)
Big Data & Data Analytics
Quantum Computing
- Duke Quantum Center
- Quantum Computing Group
- Error-corrected Universal Reconfigurable Ion-trap Quantum Archetype (Euriqa)
- Spectator Qubit Multidisciplinary University Research Initiative (MURI)
- Software-Tailored Architecture for Quantum (STAQ)
Computer Systems & Architecture
- NSF AI Institute for Edge Computing Leveraging Next-Generation Networks (Athena)
- Center for Alternative Sustainable and Intelligent Computing (ASIC)
Information Processing
Computational Design
- Computational Design:
- Center for Autonomous Materials Design
- Computational Modeling of Biological Systems Group
- Aerodynamics & Aeroelasticity Group
- Sensing & Imaging Group
- GUIde Consortium for Aeroelasticity
Trustworthy Computing
Li and Franklin Named Fellows of the National Academy of Inventors
Hai “Helen” Li and Aaron Franklin, two innovative and pioneering electrical and computer engineers, receive one of the top honors for academic inventors.
Reconstructing the Path of a Seizure
New algorithm better identifies the origin of a seizure to guide more precise surgical interventions