Research Areas
Foundation Model / Large Language Model
Building LLMs and other foundation models capable of adapting to numerous downstream applications with efficiency
Compiler
Harnessing full potential of computing hardware
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
