(The following topics include but are not limited to)
Track 1: Artificial Intelligence
Optimization and lightweight deployment of large language model architectures
Neuro-symbolic fusion and explainable artificial intelligence
Small sample learning and meta-learning methodologies
Federated learning and privacy-preserving computing
Application of reinforcement learning in multi-agent systems
Graph neural networks and modeling of complex systems
Theoretical boundaries of generative artificial intelligence
Counterattacks and robustness enhancement in artificial intelligence
Brain-inspired computing and neuromorphic algorithms
Alignment of artificial intelligence ethics and embedding of values
Open-source artificial intelligence algorithm libraries and benchmark tests
Exploration of next-generation artificial intelligence theoretical frameworks
Track 2: Intelligent Systems
Intelligent perception and security situation analysis
Automation security
Network and system security
Distributed intelligent security collaboration
Multi-agent systems
Network resource management
Network intelligence
Cloud/edge/floor integration
Unmanned system clusters
Security vulnerability detection
AI-driven security protection
Cloud and virtualization security Risk assessment
Generative artificial intelligence
Mobile edge intelligence
Track 3: Quantum computing
Quantum machine learning
Research on quantum neural networks
Quantum intelligent computing
Quantum reinforcement learning
Quantum data clustering
Quantum principal component analysis
Quantum operation optimization
Quantum error correction
Quantum sensing research
Quantum program synthesis
Variational quantum algorithm
Quantum nonlinear optics
Quantum neural network construction
Quantum natural language processing
Quantum classical hybrid computing optimization
Quantum intelligent signal processing
Quantum autonomous driving system ......