(Topics include but are not limited to)
Topic 1: Neural Networks
Deep neural network
Convolutional Neural Network
Generative Adversarial Networks
Recursive neural network
Neural Network Architecture
Neural Symbol Hybrid Model
Interpretability and Visualization Methods of Neural Networks
Neural networks in fields such as healthcare, finance, and energy
Analysis and research
Topic 2: Machine Learning
Width learning system
machine learning
Deep Learning
Reinforcement learning
Learning Transfer
knowledge graph 
Path planning
Transfer learning
Generative Adversarial Networks
Adversarial learning
Dual learning
Distributed Learning
Meta learning, etc
Topic Three: Algorithms
Application of Convolutional Neural Network (CNN) in Image Processing
Recursive Neural Network (RNN) and Its Application in Sequential Data
Autoencoder and Generative Model
The Application of Neural Networks in Natural Language Processing (NLP)
The Application of Neural Networks in Medical Imaging Analysis
The Application of Neural Networks in Bioinformatics
The Application of Neural Networks in Intelligent Transportation Systems
The Application of Neural Networks in Robot Control
The Application of Neural Networks in Recommendation Systems
Application of Neural Networks in Anomaly Detection and Early Warning
Federated Learning and Distributed Neural Networks
Hardware Acceleration of Neural Networks
The Application of Neural Networks in the Internet of Things (IoT)
Application of Neural Network in edge computing