(Including but not limited to the following topics)
Track 1: 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
Evolutionary computation
Artificial neural networks
Ubiquitous computing and environmental intelligence
Soft computing theory and applications
Software and hardware architecture
Automatic programming
Track 2: Data-driven
Distributed learning and federated learning
Trustworthy machine learning, generative models, large language models (LLMs)
Artificial intelligence in science and engineering
Data-driven optimization algorithms
Bayesian optimization, neural combinatorial optimization
Integration of machine learning and optimization
Data-driven decision paradigms
Big data storage and mining
Cloud computing technologies for big data
Privacy-preserving big data analysis
Track 3: Natural Language Processing
Cross-language natural language processing
Dialogue systems and chatbots
Semantic understanding and knowledge graphs
Speech recognition and speech synthesis
Interpretability of natural language processing
Social media and network text analysis
Applications of natural language processing in specific fields