Revolutionizing the Abilities of Adaptive Radar With AI
AI approaches and an enormous open-source dataset could spark rapid advancements in adaptive radar systems similar to those seen in computer vision over the past two decades
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.
Industry partners have included Samsung, Qualcomm, Microsoft, Cadence, Semiconductor Research Corporation, Lenovo, Samsung, Intel, Facebook, HP and many others.
AI approaches and an enormous open-source dataset could spark rapid advancements in adaptive radar systems similar to those seen in computer vision over the past two decades
Interpretable model almost doubles medical professionals’ accuracy while showing its work, assisting their decision making rather than telling them what to do
A 10-minute app can accurately screen for autism in children by automatically detecting a wide range of behavioral characteristics
Professor of Electrical and Computer Engineering
Professor of Electrical and Computer Engineering
Cue Family Professor of the Practice
Professor of Electrical and Computer Engineering
Professor in the Department of Electrical and Computer Engineering
Director of Master’s Studies, Professor in the Department of ECE
Arthur S. Pearse Distinguished Professor of Computer Science
Professor in the Department of Electrical and Computer Engineering
Gilbert, Louis, and Edward Lehrman Distinguished Professor
James B. Duke Distinguished Professor of Electrical and Computer Engineering
Rhodes Family Distinguished Professor of Electrical and Computer Engineering
John Cocke Distinguished Professor of Electrical and Computer Engineering
Chair of Electrical and Computer Engineering, Clare Boothe Luce Professor
Professor in the Department of Electrical and Computer Engineering
Charles S. Sydnor Distinguished Professor of Computer Science
James B. Duke Distinguished Professor of Mathematics and Electrical and Computer Engineering
Jeffrey N. Vinik Associate Professor of Electrical and Computer Engineering
Associate Professor in the Department of Electrical and Computer Engineering
Professor in the Department of Electrical and Computer Engineering
Rhodes Family Distinguished Professor of Electrical and Computer Engineering
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