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map of pollution
Duke Experts Provide Clearest Picture Yet of Global Building Emissions
2/13/25 Pratt School of Engineering

Duke Experts Provide Clearest Picture Yet of Global Building Emissions

Duke University is helping tackle this challenge as part of Climate TRACE, a non-profit coalition that offers an independent, transparent inventory of emissions data and sources worldwide

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Wrangling AI
1/14/25 Duke Magazine

Wrangling AI

Across the university, researchers and educators are finding its best – and perhaps worst – uses

Willie Padilla
Willie Padilla Named a Fellow of IEEE
12/12/24 Pratt School of Engineering

Willie Padilla Named a Fellow of IEEE

Padilla was honored for his contributions to the field of metamaterials, including perfect absorbers and active devices.

a large room of people and two large screens
How Metamaterials Are Making Their Mark
12/12/24 Pratt School of Engineering

How Metamaterials Are Making Their Mark

Experts from around the world gathered at Duke for the first Advanced Multifunctional Metamaterials Workshop to shape the future of the field

Two professors sit in a robotics lab talking to each other.
Teaching Robots How to Learn
11/25/24 Duke Engineering YouTube

Teaching Robots How to Learn

Join Dean Jerry Lynch and General Robotics Lab Director Boyuan Chen as they dive into the transformative world of intelligent systems and robotics at Duke University.

Data+ students climb the Duke Chapel
Data+, the Exemplar of Experiential Education at Duke
11/20/24 Pratt School of Engineering

Data+, the Exemplar of Experiential Education at Duke

For more than a decade, Data+ has helped hundreds of Duke students build their resumes through data-driven, interdisciplinary projects and inspired numerous other programs on campus.

Artificial intelligence and machine learning
Machine Learning Master’s Program Adapts to Meet Industry Needs
11/4/24 Pratt School of Engineering

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.