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.
Xtensa Neural Network Compiler (XNNC) shortens the time required to convert neural networks into code for a Tensilica AI DSP from months to days.
Tensilica developed XNNC which shortens the time required to convert neural networks into code for a Tensilica AI DSP, such as Vision P6 DSP, from months to just days. The on-device-AI demonstration shows implementation of a Caffe or TensorFlow-trained Google Inception V3, MobileNet.