(The following topics are not limited to)
Track 1: Artificial Intelligence
Artificial Intelligence Technologies and Applications
Algorithms, Deep Learning
Natural Language Processing, Software Engineering Computer Vision
Knowledge Graph
Pattern recognition, human-computer interaction
Graph neural network Neural Network
Convolutional Neural Network
Intelligent control, intelligent system
Intelligent computing and chips
Intelligent system and multi-agent system
Generative AI and interaction technology
Intelligent database system
Data and model security
Track 2: Edge computing
Edge computing framework design
Edge computing resource management
Edge node virtualization
Collaboration of edge computing and cloud computing
Network protocols of edge computing
Fault management of edge devices
Load balancing in edge computing
Dynamic scheduling of edge computing services
Data caching in edge computing
Edge intelligence and machine learning
Edge AI in edge computing
Edge network slicing
Internet of Things supported by edge computing
Data stream processing
Application development in edge computing environment
Resource scheduling algorithms
Network performance optimization in edge computing
Delay optimization in edge computing
Track 3: Information processing
Fuzzy theory
Fuzzy logic control
Artificial neural networks
Evolutionary computation
Genetic algorithm
Simulated annealing algorithm
Immune algorithm Computer Vision
Data fusion, data visualization, data mining
Rough set theory
Cluster analysis method Image processing
Fractal information processing
Application examples of intelligent information processing technology ......