We have built a team of internationally recognized experts in artificial intelligence and machine learning—in fact, Duke ECE is said to be among the world’s top universities in AI/ML research. Our engineers urge computer hardware to higher levels of performance by efficiently allocating the computing resources that machine learning applications require, allowing us to harness the power of data to improve health care, enhance security and automation, and advance computer vision.

Research Areas
- Autonomous systems
- Intelligent computing systems
- Neuromorphic computing
- Secure, robust and explainable machine learning
- Federated machine learning and Artificial Intelligence of Things (AIoT)
- Performance modeling
- Data modeling
- Interpretable predictive models
- Computer vision
- Biomedical imaging
Centers
- NSF AI Institute for Edge Computing Leveraging Next-Generation Networks (Athena)
- Duke Center for Computational Evolutionary Intelligence (CEI)
INDUSTRY COLLABORATIONS
- Center for Alternative Sustainable and Intelligent Computing
- Microsoft Innovation Hub
- Samsung, Qualcomm, Microsoft, Cadence, Semiconductor Research Corporation, Lenovo, Samsung, Intel, Facebook, HP and many others are current or former partners of Duke ECE's AI/Machine Learning cluster