![two geographical/topological maps](https://ece.duke.edu/wp-content/uploads/sites/9/2024/07/radar-landscapes-760x520.jpg)
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
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
Take a deep dive into the flashiest secrets of this common but little understood natural phenomenon with leading researcher Steve Cummer.
Michael Reiter won the 2024 Lasting Research Award from the ACM CODASPY
David Smith studies metamaterials and how they turn our understanding of physics inside out
Award recognizes advances to detect and estimate software aging in the UNIX operating system
Interpretable model almost doubles medical professionals’ accuracy while showing its work, assisting their decision making rather than telling them what to do
ECE Ph.D. student Zehao Wang contributed to four papers and received awards at the world’s premier event for optical networking and communication
ECE 655: Full-Stack IoT Systems challenges students to build smart devices from the ground up
Research aims to allow the computationally heavy fine tuning of large language models on users’ own mobile devices
Cynthia Rudin, a part of the National Academies of Sciences, Engineering, and Medicine committee focused on FRT, discusses the critical issue of surveillance by government and private actors.
Mathematical solution evaded discovery for over two decades
Duke’s Shared Materials Instrumentation Facility (SMIF) has fostered regional and national collaboration in materials research for over 25 years.