Using the Physics of Radio Waves to Empower Smarter Edge Devices
Duke engineers publish new method to use analog radio waves to boost energy-efficient edge AI.
Smart Society
We stand at a historic inflection point with AI breakthroughs, quantum computing, and next-generation hardware on the horizon.
Duke Engineering’s decades-long expertise and full-stack research facilities position us at the forefront of this revolution.
Building on our legacy in high-performance computing and distributed systems, we bring together world-class teams in neuromorphic computing, quantum engineering, cloud infrastructures, and AI-enabled hardware. Together, we create intelligent, adaptive, energy-efficient, and secure platforms that will power tomorrow’s industries and communities.
Our research is supported by cutting-edge resources, such as cryo-electron microscopes for quantum material studies and dedicated fiber-optic testbeds for future communication networks. These advanced facilities attract collaborations with academia and industry, bridging discoveries from lab to application.
With great computational power comes even greater responsibility. Duke’s strengths in liberal arts, law, ethics, and policy ensure our technologies remain secure, equitable, and ethically grounded. Campus-wide initiatives empower our students to deploy AI and computing advances responsibly.
Our graduates enter leadership roles fluent in AI and quantum technologies, equipped to address security threats and anticipate societal impacts. Our curriculum prepares them to harness computational power effectively and ethically.
Duke Engineering is committed to investing in people, partnerships, and curricula to create a smarter, more connected future that benefits all of humanity.
Quantum Collaboration, Unlimited Possibilities
The Duke Quantum Center (DQC) convenes researchers across disciplines to tackle real-world challenges with quantum computing and quantum simulators. Backed by over $250 million in collaborative funding, it’s training the next generation of quantum experts and yielding breakthroughs today.
Robotics and Automation
Recent investments into robotics facilities and the thought leaders to harness their transformative power has Duke positioned to shape the future of human-robot teaming and surgical practice. Our Master of Engineering in Robotics & Autonomy program provides students with a solid foundation to immediately enter industry positions as full-stack roboticists.
Computing on the Edge of Tomorrow
The NSF AI Institute for Edge Computing (Athena) develops AI-driven solutions that leverage emerging communications networks. Athena is redefining how devices compute, communicate, and serve users at the edge by uniting engineers, statisticians, legal scholars, and psychologists from nine universities.
Data Mining New Materials
Duke’s AI + Materials Master of Engineering program trains graduate students at the intersection of AI and materials science to design novel materials—from ultra-durable carbides to targeted biologics—transforming discovery into data-driven recipes that unlock entirely new classes of engineered substances.
Advanced Fabrication Facilities
The Shared Materials Instrumentation Facility (SMIF) offers Duke, and external research and educational partners, access to cleanroom fabrication capabilities and advanced characterization imaging unqiue to the southern United States to fuel innovation through shared, cost-effective resources.
Turning Chatbots into TAs
Led by Professor Jon Reifschneider, the Center for Research and Engineering of AI Technology in Education (CREATE) pilots AI-driven teaching assistants and learning tools within Duke and beyond to scale innovations that enhance instruction and student success.
Advancing Society:
The Duke Engineering Strategic Vision
Smart Society News
AI Learns to Build Simple Equations for Complex Systems
New AI system analyzes data to help scientists understand complex systems that change over time.
Duke ECE Students Present at Leading Semiconductor Conference
PhD students Dylan Matthews and Sazzadur Rahman presented amorphous oxide semiconductor research at the IEEE IEDM conference.