(The following topics include but are not limited to)
Topic 1. Neural networks
Graph Neural Network (GNN), Generative Adversarial Network (GAN)
Neuromorphic computation
Brain computer interface and neural network
Brain-like intelligence, brain network analysis
Biologically inspired learning algorithms
Natural language processing and language generation
Industrial automation and intelligent manufacturing
Optimal combination, knowledge engineering
Artificial intelligence, logic programming
Human-computer interaction, deep learning
Signal processing, information extraction
Natural language inference
Theme 2. Intelligent Optimization
Deep Reinforcement Learning (DRL)
Multi-agent system
Sequential decision and dynamic programming
Evolutionary algorithm and heuristic optimization
Security and robustness
Hyperparameter optimization, automatic data preprocessing
Transfer learning and domain adaptation
Topic 3. Machine Learning
Multitasking and transfer learning
Deep learning, reinforcement learning
Artificial intelligence
Data mining, data access
Robot control, natural language processing
Experimental evaluation of machine learning
Performance analysis of machine learning algorithms
Statistical learning, Bayesian networks
Neural networks, intelligent systems
Multi-task learning, signal detection and estimation
Statistical learning