(The following topics include but are not limited to)
Track 1: Artificial Intelligence
Machine learning algorithms
Deep learning
Computer vision
Natural language processing
Reinforcement learning
Multi-agent systems, artificial intelligence interaction systems
Application of knowledge graphs in manufacturing
Artificial intelligence chips, etc.
Track 2: Digital Twin
Development of digital twin technology
Real-time simulation and modeling
Interactive digital twin platform
Data mining and analysis applications
Application of digital twin in industries
System-level digital twin architecture
Feedback control and optimization
Integration of digital twin with the Internet of Things
Engineering practice combining virtual and real worlds
Digital twin and artificial intelligence
Life cycle management and digital twin
Cloud manufacturing and digital twin
Digital twins and challenges
Application of digital twin in the transportation field
Precision manufacturing and digital twin
Track 3: Neural Networks
Deep learning algorithms and applications
Application of convolutional neural networks (CNN) in image processing
Recurrent neural networks (RNN) and their applications in sequential data
Autoencoders and generative models
Robot control
Optimization combination, knowledge engineering Artificial Intelligence
Logical programming design
Human-computer interaction, deep learning
Signal processing, information extraction
Natural language inference
Application of neural networks in the Internet of Things (IoT)
Application of neural networks in edge computing
Neural networks and photonics