Topic 1: Advanced Algorithms
Algorithms and Data Structures
Evolutionary Computing and Learning
The Application of AI Algorithms in Physics
Visualization algorithm for physical features
Genetic Algorithm
Natural Computing
Quantum computing
Random algorithm
Approximation algorithm
Combinatorial optimization
Sorting algorithm
Computability theory
Advanced numerical algorithms
Parallel and distributed algorithms
Graphic drawing and graphic algorithms
Topic 2: edge computing
Edge computing Frame Design
Edge computing resource management
Edge node virtualization
Collaboration between edge computing and cloud computing
Network Protocol of edge computing
Fault management of edge devices
Load balancing in edge computing
Dynamic scheduling of edge computing services
Data cache in edge computing
Internet of Things supported by edge computing
Deep Learning Application of edge computing
Adaptive Learning Technology of edge computing
Data mining in edge computing
Reinforcement Learning of edge computing
Integration method of edge intelligent algorithms
Prediction model of edge computing
Automatic Decision Making in edge computing
Topic 3: edge computing
Basic Algorithms of Deep Learning
Deep Learning in Computer Vision
Integration 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