AI and Scientific Innovation
Duke researchers are using AI to accelerate scientific research and developing new technologies to advance innovation and improve people’s lives.
Research Highlight: Mapping Behavior with Machine Learning
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain. Dunn and his team in the Duke Pratt School of Engineering developed DANNCE, a machine-learning system that reconstructs 3D animal models from video data to track links between movements and neural activity.
Pardis Emami-Naeini is the director of the Duke InSPIre Lab, which explores the intersection of people, technology and policy.
Explore AI Research in Engineering
Learn more about some of the nationally-recognized departments and scholars driving innovation in artificial intelligence in Duke’s Pratt School of Engineering.
Scholar spotlights: Trailblazers in scientific innovation and discovery
Duke scholars are advancing AI and scientific innovation and discovery across fields ranging from machine learning and materials research to edge computing and next-generation hardware. Check out some of the scholars driving scientific innovation with AI and learn about their work.
Student research: Duke’s Plus Programs
The +Programs at Duke are immersive, experiential learning opportunities across a wide range of disciplines, with focus areas in data science, coding, artificial intelligence, climate, and more. These co-curricular programs provide students with hands-on experiences that emphasize research, creative problem-solving, and interdisciplinary collaboration.
Initiatives Advancing Scientific Innovation
Duke initiatives bring together expertise across science, engineering, and data-intensive research to support AI-enabled discovery and innovation.
Deep Tech Initiative
Deep Tech leads multidisciplinary research and collaborations to support the development of — and explore the effects of — technical domains such as artificial intelligence, quantum computing, semiconductors, renewable energy, and cybersecurity.
Energy Data Analytics Lab
The interdisciplinary lab is developing groundbreaking applications of machine learning techniques and cultivating new data analytics talent to solve the world’s most daunting energy and climate challenges.
Duke Materials Initiative
Duke researchers use AI and data-driven methods to accelerate the discovery and design of new materials, advancing interdisciplinary research across engineering and the physical sciences.
Rhodes Information Initiative
Rhodes Information Initiative at Duke brings disciplines together to unlock the potential of computation, machine learning, data science, and modeling in a world awash with data and computational resources.
Duke Quantum Center
The Duke Quantum Center is a leading research facility in downtown Durham dedicated to building, programming, and testing advanced quantum computing systems.
Edge computing research: ATHENA Institute
Led by Duke University, the Athena institute focuses on developing edge computing with groundbreaking AI functionality that leverages next-generation communications networks to provide previously impossible services at reasonable cost. Bringing together a multidisciplinary team of scientists, engineers, statisticians, legal scholars, and psychologists from nine universities, Athena’s goal is to transform the design, operation, and services of future mobile devices and networked systems.
