The topics of interest for submission include, but are not limited to:
◕ Track 1: Foundations of Frontier Artificial Intelligence
Large Language Models and Generative AI
Diffusion Models and Multimodal Learning
Reinforcement Learning and Autonomous Agents
Explainable AI and Trustworthy AI
AI Security, Privacy, and Adversarial Learning
Efficient Models and AGI Exploration
Model Compression and Inference Acceleration
Few-shot and Meta-Learning
AI Algorithms and Theory
Information Retrieval and Generative Search
◕ Track 2: Embodied Intelligence and Multimodal Interaction
Embodied Intelligence and Cognitive Architecture
Multimodal Perception and Fusion
Machine Learning for Autonomous Agents
Human-Robot Interaction and Virtual Robots
Digital Twin and Smart Environments
Vision-Speech-Motion Navigation
Tactile Perception and Control
Social Behavior and Human-like ActionsEmbodied Decision-making and Planning
Embodied Systems Coordination
◕ Track 3: Artificial Intelligence and Scientific Discovery
Scientific Machine Learning and Physical Modeling
Causal Inference and Symbolic Reasoning
Uncertainty Quantification and Trustworthy AI
High-Performance Computing and Simulation Acceleration
Large-Scale Scientific Data and Knowledge Discovery
AI for Drug Discovery and Materials Science
AI for Climate and Earth Science
Bioinformatics and Genomics with AI
AI for Scientific Visualization and Knowledge Graphs
Optimization of Scientific Experiments with AI
◕ Track 4: Aerospace Intelligent Systems and Applications
UAV Autonomy and Control
Integrated Communication, Navigation, and Sensing
Urban Air Mobility (UAM/eVTOL)
Aerospace Intelligent Perception and Data Fusion
Intelligent Energy Conversion and Management
Low-Altitude Traffic Control and Safety
Intelligent Flight Systems and Mission Planning
Adaptive Control and Intelligent Navigation
Anti-Jamming and Secure Communication
High-Precision Aerospace Manufacturing and Testing
◕ Track 5: Large-Scale Safety and Trustworthy AI
Large-model evaluation and safety benchmarks
Data poisoning, hallucination, and robustness
Federated learning and privacy protection
Adversarial examples and red-team testing
Model alignment and value alignment
Safe applications and risk governance
Trusted computing and controllable generation
Security and interpretability of cross-modal large models
Compliance and governance of open-source large models
Hardware acceleration and secure computing architectures
◕ Other Related Topics
Smart Healthcare and Health Informatics
Intelligent Manufacturing and Industry 4.0
Intelligent Transportation and IoT
Agricultural Informatics and Smart Farming
Metaverse and Virtual Reality
Computational Science
Generative AI for Arts and Creativity