(Topics include but are not limited to)
Topic 1: Machine Learning
Width learning system
machine learning
Deep learning
Reinforcement Learning
learning transfer
knowledge graph
Path Planning
transfer learning
Generative Adversarial Networks
Adversarial learning
paired-associate learning
distributed learning
Meta learning, etc
Topic 2: Neural Networks
Deep Neural Network
convolutional neural network
Generative Adversarial Networks
recurrent neural networks
Neural Network Structure
Neural Symbol Hybrid Model
Interpretability and Visualization Methods of Neural Networks
Analysis and research of neural networks in fields such as healthcare, finance, and energy
Topic Three: Algorithms
Computational Intelligence
algorithm optimization
edge computing
mobility
High performance and grid computing
software engineering
Distributed System
genetic algorithm
neural network
Ant colony
Computability theory
evolutionary algorithms
Graph exploration algorithm
numerical analysis
quantum computing
sorting algorithm
Search Algorithm
fuzzy computing