(The following topics include but are not limited to)
Track 1: Artificial Intelligence
Artificial Intelligence Algorithms
Artificial Intelligence Tools and Applications
Computer Vision and Image Understanding
Speech and Natural Language Processing
Data Mining and Machine Learning
Embodied Intelligence and Computational Collective Intelligence
Big Data Computing and Soft Computing
Intelligent Learning in Control Systems
Multi-Agent Cooperative Control Systems
Interpretable Artificial Intelligence and Trustworthy Intelligent Control
System Optimization Driven by Reinforcement Learning
Fuzzy Neural Control System Design
Robustness and Fault-Tolerant Control of Intelligent Systems
Evolutionary Computation for Intelligent System Optimization
Cognitive Intelligent Decision Support System
Human-Machine Hybrid Augmented Intelligent Systems
Track 2: Deep Learning
Recurrent Neural Networks
Sparse Coding
Neural Fuzzy Algorithms
Evolutionary Computation Methods
Convolutional Neural Networks
Deep Hierarchical Networks
Unsupervised Feature Learning
Deep Boltzmann Machines Generative Adversarial Network
Autoencoder
Deep Belief Network
Meta-learning and Deep Networks
Deep Reinforcement Learning
Deep Generative Model Learning
Deep Kernel Learning
Gaussian Processes in Machine Learning
Deployment of Large Models
Lightweight Models
Track 3: Intelligent Information Processing
Fuzzy Theory
Fuzzy Logic Control
Artificial Neural Network
Evolutionary Computation
Genetic Algorithm
Simulated Annealing Algorithm
Immune Algorithm
Computer Vision
Pattern Recognition
Data Fusion
Data Visualization
Data Mining
Rough Set Theory
Clustering Analysis Method
Image Processing, Speech Recognition
Fractal Information Processing
Application Examples of Intelligent Information Processing Technology ……