CFP

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