Inaugural HKUST Symposium on Energy-Efficient ICs for AI-Driven Applications
The inaugural HKUST symposium titled Energy-Efficient ICs for AI-Driven Applications was successfully held on June 14, 2018, bringing together leading academics and industry practitioners to discuss the frontiers of energy-efficient integrated circuits for artificial intelligence.
The symposium established an annual platform for our group to host invited talks, student presentations, and industry panels on emerging directions in AI hardware, circuit design, and EDA. It marked the starting point of a series of annual gatherings that have since brought together collaborators across the Greater Bay Area and beyond.
Yuan Xie
Fang Professor of Engineering · Chair Professor
Fang Professor of Engineering and Chair Professor at HKUST. Research interests include computer architecture, electronic design automation, machine learning, and VLSI.