Magnetic Memory: Laying the Foundations for Modern AI
Yiran Chen and Helen Li have won the A. Richard Newton Technical Impact Award for their foundational research on magnetic random access memory (MRAM).
Duke Engineering researchers are developing and deploying the power of computing to design autonomous systems, improve communications, glean useful insights from masses of data, detect disease and improve health, and enhance security in our world and cyberspace.
Yiran Chen and Helen Li have won the A. Richard Newton Technical Impact Award for their foundational research on magnetic random access memory (MRAM).
Award-winning publication provides a blueprint for chip design companies to train machine learning models that help detect lithography hotspot patterns in IC layouts before fabrication while protecting proprietary layout data.
Duke engineers introduce Argus, a robot with no front, no back and 20 eyes, as proof-of-concept for a new design principle called dynamic symmetry.