◕ Track 1: Artificial Intelligence

Theoretical Foundations of Artificial Intelligence

Applications of Artificial Intelligence

Machine Learning

Deep Learning and Its Applications

Neural Networks and Computational Intelligence

Natural Language Processing and Machine Translation

Computer Vision

Generative Models and AIGC (AI-Generated Content)

Multimodal Fusion

Trustworthy and Secure AI

Explainable Artificial Intelligence (XAI)

Pattern Recognition

Swarm Intelligence Algorithms

Machine Perception and Virtual Reality

Intelligent Control and Intelligent Management

Data Mining

Intelligent Algorithms

Intelligent Information Processing

Foundation Models / Large AI Models and Efficient Training

AI Sustainability

◕  Track 2: Frontier Computing

Quantum Computing

Neuromorphic Computing

Optical Computing and Biomolecular Computing

In-Memory Computing and Near-Memory Computing

Edge Computing, Fog Computing, and Computing Power Networking

Cloud-Edge Collaborative Computing

Bio-inspired Computing

Photonic Computing

Approximate Computing

Secure Multi-Party Computation

Differential Privacy

Spintronic Computing

Reconfigurable Computing

Active Vision Computing and Learning

Intelligent Interactive Computing

Neurosymbolic Computing

◕ Track 3: Integration and Application of Intelligent Computing

AI for Science

Intelligent Manufacturing and Digital Twins

Autonomous Driving and Robotic Intelligent Systems

Smart Healthcare

Health Big Data and Wearable Intelligence

Genomics and Drug Discovery

Computational Economics

Urban Computing and Intelligent Transportation

Smart Cities and Green Energy Management

Agricultural Informatization

Digital Creation and Metaverse Applications

Intelligent Education and Human-Computer Interaction

Cyberspace Security