The Center systematically builds hardware/software systems and develops fundamental theories of artificial intelligence, focusing on 11 major areas: Machine Learning Theory, Model Training and Inference Frameworks, Mathematical Mechanisms, Statistical Optimization of Models, Computing Cluster Architectures, Operator Development and Optimization, Cluster Fault Management, Computing Resource Scheduling, Cluster Communication Optimization, AI Chip Design, Next-Generation AI System Architecture Methods and Mixed-Precision Algorithms.

The Center is dedicated to advancing the frontiers of language modeling and human-computer interaction, with breakthroughs in three major areas: Speech Large Language Models (LLM),Speech Brain-Computer Interface (Speech BCI) and Brain-inspired Auditory Intelligence.

The Center is committed to integrating world-class expertise with cutting-edge AI capabilities to drive paradigm shifts in AI-empowered scientific research and transformative advances in engineering practice.

he Center for AI for Social Science addresses the gap in current AI research that emphasizes "technical optimization while neglecting social context". It aims to transform research paradigms toward a multidimensional social intelligence framework that integrates "value alignment, social embedding, and cultural adaptation".

The Center is dedicated to advancing AI's understanding of 3D space and physical laws. By building upon these capabilities, we aim to achieve breakthroughs in robotics, achieving agile motion control and fine manipulation skills for humanoid robots.