Topic 1: Big Model Theory and Technology
Generative Large Model
Pre trained language model
Multimodal fusion
Efficient Training and Optimization Algorithm for Large Models
Large scale distributed and parallel training system
Model compression and lightweighting
Hardware acceleration and heterogeneous computing
Fusion of reinforcement learning and large models
Large scale model probe and behavior analysis
Open source big models and ecosystems
Large models, symbolization, and logical reasoning
Large scale models and causal inference
Intelligent decision-making and cognitive modeling
Large Model Online and Continuous Learning
Large model security and alignment assessment
Topic 2: Group Intelligence
Cuckoo search algorithm
Harmony search 
Wolf search algorithm
Elephant Search Algorithm
Emperor Butterfly Algorithm
Particle Swarm Optimization
Artificial bee and firefly algorithms
Optimization of bacterial foraging
Ant colony optimization
Swarm Intelligence
Cluster robots
Review and Comparative Study of Swarm Intelligence Technology
Theory and Practice of Swarm Intelligence Methods in Different Fields
Using swarm intelligence methods to solve real-world problems, etc
Topic 3: Robots
Robot Structure Design and Control
Intelligent perception system
Robot navigation, positioning, and autonomous control
Robot perception and data fusion
Bioelectromechanical Systems and Fusion
Unmanned System Control Technology
Natural interaction and interaction between humans, machines, and environments
Robot kinematics and dynamics
Multi robot collaborative control
Robot grasping and operation
Robot Behavior Decision and Control
Robot Motion and Path Planning
Robot operating system