Air Force Pilot Studies Flying Moths to Inspire Next Generation Technology
ECE graduate student Matthew LaRosa is using machine learning and generative AI to understand strategies for making rapid decisions in complex environments.
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 and 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
- Autonomous Systems Group
- Duke Robotics
- Applied Computational Ion Spectrometry Center (CAMMS-ES)
- X-Ray Diffraction Scanner
Computational Design
- Computational Design Groups:
- Center for Autonomous Materials Design
- Computational Modeling of Biological Systems Group
- Aerodynamics & Aeroelasticity Group
- Sensing & Imaging Group
- GUIde Consortium for Aeroelasticity
Trustworthy Computing
Related News
Machine Learning Master’s Program Adapts to Meet Industry Needs
A new curriculum in the master’s program in Electrical and Computer Engineering’s Machine Learning and Big Data study track will debut in Fall 2025, aligning student training with current industry needs.
Listening Skills Bring Human-Like Touch to Robots
Researchers give robots a sense of touch by “listening” to vibrations, allowing them to identify materials, understand shapes and recognize objects just like human hands