“Virtual Scientists” Could Soon Unlock New Frontiers of Research
Researchers build an “agentic system” of large language models that can solve complex design problems in a fraction of the time of skilled experts.
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
Bending Waves with Metamaterials: Why Do You Study That?
Metamaterials are materials engineered to bend light in ways nature never intended. From invisibility cloaks to seeing through objects, David R. Smith’s research shows how metamaterials are changing optics, physics, and the future of technology.
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