(Including but not limited to the following topics)
Topic 1: Edge Computing
Edge node architecture and deployment
Edge-cloud collaborative computing
Edge data caching and content distribution
Edge intelligence and lightweight model deployment
Edge-side cloud collaboration for inference and training
Edge resource scheduling and load balancing
Edge security and privacy protection
Edge computing network protocols
Edge storage and databases
Mobile edge computing
Internet of Things edge computing platform
Industrial Internet of Things edge intelligence
Edge computing energy consumption management
Edge computing service orchestration
Edge real-time operating system
Topic 2: Artificial Intelligence
Machine learning and deep learning Natural Language Processing
Computer Vision and Pattern Recognition
Knowledge Representation and Reasoning
Reinforcement Learning and Sequential Decision Making
Generative Models
Graph Neural Networks and Graph Learning
Transfer Learning and Domain Adaptation
Federated Learning and Privacy Protection
Large Language Models and Fine-Tuning Techniques
Interpretable Artificial Intelligence
Multi-Agent Systems
Neural Symbolic Computation
Adversarial Learning and Robustness
Embodied Intelligence and Autonomous Agents
Theme Three: Intelligent Systems
Intelligent Robot Systems
Multi-Agent Cooperative Control
Autonomous Unmanned Systems (Unmanned Aircraft/Unmanned Vehicles)
Intelligent Sensing and Information Fusion
Intelligent Decision-making and Planning
Human-Computer Interaction and Brain-Computer Interfaces
Expert Systems and Knowledge Engineering
Intelligent Fault Diagnosis and Predictive Maintenance
Intelligent Control Systems
Cognitive Computing and Bionic Systems
Distributed Intelligent Systems
Swarm Intelligence and Group Behavior
Intelligent Sensor Networks
Intelligent Information Retrieval and Recommendation
Autonomous System Motion Planning