The Cadence Academic Network helps build strong relationships between academia and industry, and promotes the proliferation of leading-edge technologies and methodologies at universities renowned for their engineering and design excellence.
A huge knowledge exchange platform for academia to network with industry. We are looking for academic speakers to talk about their research to the industry attendees at the Academic Track at CDNLive EMEA and Silicon Valley.
Hear how in only three months Ph. D student Myung-Seok Shim was able to learn how to take a TensorFlow machine learning model for image recognition to RTL using Stratus High-Level Synthesis. A explanation of the Design Flow process for Machine Learning based inferencing hardware