(The following topics include but are not limited to)
Topic 1. Evolutionary Computing
Computational models, algorithms
The fundamental theory of computational intelligence
The application of natural language processing (NLP) in software development
Computer vision and image processing
Intelligent systems and applications
Software engineering in the Internet of Things and edge computing
Cybersecurity and threat detection based on artificial intelligence
The application of computational intelligence in robotics and autonomous systems
Quantum computing and quantum software engineering
Big data analysis and cloud computing
Human-centered artificial intelligence and explainable artificial intelligence (XAI)
The application of computational intelligence in medical health and biomedicine
Evolutionary computing and optimization, genetic algorithm optimization
Application of ant colony algorithm, particle swarm optimization
Adaptive evolutionary strategies, multi-objective evolutionary algorithms
Topic 2. Neural Networks
Applications of convolutional neural networks (CNN) in image processing
Recurrent neural networks (RNN) and their applications in sequential data
Autoencoders and generative models
Applications of neural networks in natural language processing (NLP)
Applications of neural networks in medical image analysis
Applications of neural networks in bioinformatics
Applications of neural networks in intelligent transportation systems
Applications of neural networks in robot control
Applications of neural networks in recommendation systems
Applications of neural networks in anomaly detection and early warning
Federated learning and distributed neural networks
Hardware acceleration of neural networks
Applications of neural networks in the Internet of Things (IoT)
Applications of neural networks in edge computing
Neural networks and photonics
Topic 3. Deep Learning
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