We conduct research on the models and algorithms that form the core of next-generation AI. Our work spans large language models (LLMs), multimodal AI, generative AI, and reasoning/learning algorithms—developing foundational technologies to improve AI performance and efficiency, and creating innovative AI that solves diverse industrial and societal challenges.

We research the computing systems and infrastructure that enable high-performance AI. Our focus includes AI semiconductors, HPC, distributed training, and cloud/edge computing—developing technologies that boost efficiency and scalability of AI computation to support large-scale AI services and research.

We study technologies that enable AI to perceive, understand, and interact with the physical world. Through robotics, autonomous driving, intelligent agents, and human–robot interaction (HRI), we build the foundation for AI to operate safely and effectively in real environments.

We explore new frontiers in scientific research using AI. Across drug discovery, materials design, life sciences, climate/environment, and physics, we accelerate scientific discovery and research innovation through AI-driven data analysis and predictive modeling.

We research safe and trustworthy AI. Ensuring fairness, transparency, explainability, privacy, security, and safety of AI, we support the development and adoption of trustworthy AI across industry and society.

We advance healthcare through AI. Across disease diagnosis and prediction, medical imaging analysis, precision medicine, and digital health, we improve the accuracy and efficiency of medical services and contribute to public health.