Matthew Mattina, Distinguished Engineer and Senior Director of ML Research, is giving the first day keynote at this year's ACM/IEEE ISLPED (International Symposium on Low Power Electronics and Design), entitled 'Co-Designing Hardware and Models for Efficient Neural Network Inference.'

The forum for presentation shares innovative research in all aspects of low power electronics and design, from process technologies to system software and applications.

Former intern, Lingjun Zhu, is also presenting his paper, 'Power Delivery and Thermal-Aware Arm-Based Multi-Tier 3D Architecture'.