(The following topics include but are not limited to)
Track 1: Intelligent Algorithms and Industrial Intelligence
Industrial Data Mining and Time Series Data Modeling
Industrial Reinforcement Learning and Optimization Scheduling Algorithms
Industrial Intelligence Modeling Based on Mechanism and AI Integration
Multimodal Industrial Data Fusion and Cross-Domain Analysis
Lightweight AI Models and Edge Deployment
Small Sample Learning and Defect Detection Algorithms
Industrial Knowledge Graphs and Federated Learning
Intelligent Algorithm Acceleration and Distributed Intelligent Computing
Track 2: Industrial Software and Digital Twin Systems
Industrial Digital Twin Modeling, Simulation, and Virtual-Real Fusion Control
Industrial Software Platform Architecture and Cloud-Edge Collaborative Manufacturing
Virtual Debugging and Factory Digital Twin Technology
Intelligent Computer-Aided Design and Engineering (CAD/CAE/CAM) Intelligence
Integration of Industrial Internet of Things Platform and Manufacturing Execution System (MES)
Digital Twin-Driven Manufacturing Quality Traceability and Full Lifecycle Management
Industrial Data Governance, Interoperability, and Application Interface Standardization
Industrial System Security, Trustworthy Computing, and Data Privacy Protection
Industrial Artificial Intelligence Software Design and Development
Industrial Artificial Intelligence Algorithms for Process Optimization
Industrial Big Data Software and Analysis Tools
Edge Intelligent Software for Industrial Internet of Things
Industrial Cyber-Physical System Artificial Intelligence Software
Industrial Intelligent Decision Software System
Process Parameter Optimization and Quality Control Driven by Digital Twin
Track 3: Machine Vision and Intelligent Detection Technology
Vision Perception and Image Intelligent Analysis (Enhancement, Restoration, Segmentation, Semantic Understanding)
Artificial Intelligence-Driven Object Detection, Recognition, and Segmentation
Defect Detection and Quality Intelligent Evaluation for Complex Scenarios
Multimodal Perception and Visual-Sensing Information Fusion Detection
Small Sample, Weak Supervision, and Self-Supervision Visual Detection Methods
Application of Large Models and Visual Foundation Models in Intelligent Detection
Industrial Vision Inspection and Intelligent Manufacturing Quality Control
Intelligent Detection Equipment and Online Inspection System Design
3D Vision, Precision Measurement, and High-End Detection Technology
Edge Intelligence and Real-Time Visual Detection Technology
Anomaly Recognition, Fault Diagnosis, and Predictive Maintenance
Trustworthy Visual Intelligence and Explainable Detection Methods
Visual-Language Model and Cross-Modal Industrial Scene Understanding
Synthetic Data Generation and Domain Adaptive Visual Detection
Precision Vision Inspection for Semiconductor, Electronic Information, and Mechanical Equipment
Machine Vision Inspection System Integration
...