Including but not limited to the following contents:
Track 1: Advanced Intelligent Technologies
Artificial Intelligence and Machine Learning
Deep Learning and Neural Networks
Natural Language Processing and Understanding
Computer Vision and Pattern Recognition
Intelligent Sensing and Environmental Sensing
Knowledge Representation and Reasoning
Multi-Agent Systems
Intelligent Robotics Technology
Human-Computer Interaction and Brain-Computer Interfaces
Intelligent Decision-Making and Planning
Large Language Models and Multimodal Learning
Transfer Learning and Small Sample Learning
Federated Learning and Privacy Protection
Interpretable Artificial Intelligence
Generative Artificial Intelligence
Track 2: Intelligent Computing
Neural Network Computing and Deep Learning Algorithms
Evolutionary Computing and Genetic Algorithms
Swarm Intelligence and Particle Swarm Optimization
Fuzzy Logic and Soft Computing
Neural Symbolic Computing
Quantum Intelligent Computing
Dimensionality Reduction and Feature Extraction of High-Dimensional Data
Agent Models and Response Surface Optimization
Bayesian Inference and Gaussian Processes
Graph Neural Networks and Graph Computing
Reinforcement Learning and Adaptive Dynamic Programming
Multi-Objective Optimization and Decision Making
Distributed Parallel Intelligent Computing
Meta-Heuristic Algorithms
Uncertainty Modeling and Robust Optimization