Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Group
Machine Learning Area
Our current research focus is on deep/reinforcement learning, distributed machine learning, and graph learning. Other research projects from our group include learning to rank, computational advertising, and cloud pricing.
Project
Project FDNN: FPGA-based Deep Neural Networks
This project aims to accelerate the inference and training of Deep Neural Networks (DNN) using FPGAs for high energy efficiency and low latency in data centers. We have been developing a CNN (Convolutional Neural Network) accelerator…