Topic 1: Basic Theory and Technology of Industrial Artificial Intelligence
Industrial machine learning and deep learning algorithms
Construction of Industrial Large Model and Knowledge Graph
Explainable artificial intelligence and its application in quality critical decision-making
Industrial Internet of Things and Edge Intelligence Technology
Digital Twin and Virtual Debugging Technology
Artificial Intelligence Methods for Industrial Cyber Physical Systems
Industrial AI Chip and edge computing Hardware
Federated Learning and Privacy Protection in Industrial Data Analytics
Topic 2: Quality Engineering and Reliability Management
Statistical Quality Control and Diagnostic Methods
Reliability and Maintenance Engineering
Six Sigma Method and Process Capability Analysis
Whole life cycle quality management
Fault prediction and health management
Reliability modeling, accelerated life testing, and degradation analysis
Quality Risk Management and Control Chart Design
Supply Chain Quality Management and Traceability