(The following topics include but are not limited to)
Track 1: Intelligent Computing
Neural Networks and Intelligent Algorithms
Optimization Methods and Meta-heuristic Algorithms
Evolutionary Computing and Swarm Intelligence
Distributed and Parallel Computing
Efficient Training and Inference Systems
Scalable Machine Learning Systems
Cloud-Edge-End Collaborative Computing
Edge Intelligence and Internet of Things Computing
AI-Driven Computing Architecture
AI Computing Resource Management
Green and Sustainable Computing
Track 2: Neural Networks
Robot Control
Optimization Combinations
Knowledge Engineering
Artificial Intelligence
Logic Programming Design
Human-Computer Interaction Deep Learning
Signal processing
Information extraction
Natural language inference
Track 3: Deep learning
Deep learning basic algorithms
Deep learning in computer vision
Combination of natural language processing and vision
Transfer learning
Domain adaptation
Reinforcement learning
Joint learning and privacy protection
Self-supervised and unsupervised learning
Interpretability of deep learning models
Edge computing ……