(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
Granular computing theory and applications
Knowledge representation, evolutionary computing
Artificial neural networks, pattern recognition
Ubiquitous computing and environmental intelligence
Soft computing theory and applications
Software and hardware architecture, automatic programming
Track 2: Computational Modeling
Numerical computation and optimization methods
Scientific computing and engineering numerical simulation
High-performance computing and parallel algorithms
Iterative algorithms, approximate computation and solvers
Computational geometry and engineering algorithm design
Finite element method, finite difference method and simulation technology
Parallel and distributed computing simulation
Numerical modeling and engineering simulation systems
Granular computing and soft computing methods
Data-driven modeling and simulation optimization
Predictive modeling and time series analysis
Uncertainty modeling and risk analysis
Statistical modeling and inference methods
Technical process modeling, simulation and control
Object-oriented modeling and simulation systems
Track 3: Deep Learning
Environmental intelligence
Autonomous computing
Biomedical systems
Computer games Image processing
Information retrieval and reuse
Intelligent teaching system
Language translation
Inference based on the experience extracted from text, multimedia or human interaction
Recommendation system
Robot text reuse
User modeling ......