(The following topics include but are not limited to)
Track 1: Neural Networks
Robot Control
Optimization Combination
Knowledge Engineering
Artificial Intelligence
Logical Programming Design Human-computer interaction
Deep Learning
Signal processing
Information Extraction
Natural Language Inference
Track 2: Deep Learning
Basic Algorithms of Deep Learning
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
Track 3: Artificial Intelligence
Artificial Intelligence Algorithms Natural Language Processing
Fuzzy logic
Computer vision and image understanding
Signal and image processing
Speech and natural language processing
Information retrieval and fusion
Hybrid intelligent systems
Intelligent system architecture
Granular computing theory and applications
Knowledge representation
Evolutionary computation
Artificial neural networks Pattern Recognition
Ubiquitous Computing and Environmental Intelligence
Soft Computing Theory and Applications
Software and Hardware Architecture
Automatic Programming ...