Research Areas
Computer Vision
Understand visual input.
Natural Language Processing / Speech Processing
Understand human language.
Machine Learning / Deep Learning
Understand patterns from large-scale data.
Human Computer Interaction (HCI)/ Human Robot Interaction (HRI)
Investigating how people interact with computers, machines and robots.
Data Science / AutoML
Making the real world understood and optimized
Chip
Accelerator architecture, and compiler technologies for deep neural network
Cluster / Networking
Systems to integrate huge computing power to accelerate R&D
Chemoinformatics / Materials Science
Discover new materials/drugs with computational science.
Robotics
Develop personal robots.
Bioinformatics / Healthcare
Adaptation of deep learning to biotechnology/life science industry
Large Scale Distributed Deep Learning
Solve machine learning problems using extremely large scale dataset and massive computing resources
Reinforcement Learning
Sequential decision-making for the real world.
