Making Magic Across All Layers of the IoT Stack
ECE 655: Full-Stack IoT Systems challenges students to build smart devices from the ground up
ECE 655: Full-Stack IoT Systems challenges students to build smart devices from the ground up
Chris Monroe and Jungsang Kim write that undermining the Bayh-Dole system could massively stifle new advances in quantum computing and other technologies
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.
The IEEE will launch the new Transactions on Circuits and Systems for Artificial Intelligence (TCASAI) in September 2024
Representatives from Congress, the White House and federal agencies met with Research Triangle AI experts at North Carolina State University
Cynthia Rudin of Duke University discusses interpretable deep learning at SPIE Medical Imaging
Duke Engineering faculty contribute to a panel on generative AI, why it's suddenly everywhere, and what lies ahead.
Mixed-signal training acceleration proposed in 2014 wins Yiran Chen a ‘10-year Retrospective’ award
A team in the US led by Duke University’s Miroslav Pajic and Tingjun Chen have created a system called MadRadar, which shows how attacks on car sensors could be done