Center for AI Theoretical Foundation and Systems

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.

 

  • Machine Learning Theory
  • Model Training and Inference Frameworks
  • Mathematical Mechanisms of Models
  • Statistical Optimization Methods
  • Computing Cluster Architectures
  • Next-generation AI System Architecture Methods and Mixed-precision Algorithms
  • Cluster Fault Management
  • Computing Resource Scheduling
  • Cluster Communication Optimization
  • Operator Development and Optimization
  • AI Chip Design

Research team

Director Member

  • Shenghua Gao
    Center for AI Theoretical Foundation and Systems Deputy Director
    Specialty
    3D and 4D reconstruction and generation, world model, embodied AI,AI for drug discovery

Team Members

    No record