Blockchain is a distributed database technology that connects data blocks in an orderly manner and ensures its tamper ability and forgery by means of cryptography. Generally speaking, blockchain technology can realize the openness, transparency, tamper ability, forgery and traceability of all data information in the system without the endorsement of a third party. As a kind of underlying protocol or technical solution, blockchain can effectively solve the trust problem and realize the free transfer of value. It has a broad prospect in the fields of digital currency, financial assets transaction settlement, digital government affairs, security data services and so on. Topics of interest for submission include, but are not limited to:

Track 1: Artificial Intelligence Foundations and Methods (人工智能基础与方法)

• Machine Learning and Deep Learning
• Large Language Models (LLMs) and Foundation Models
• Reinforcement Learning and Multi-Agent Systems
• Federated Learning and Distributed Intelligence
• Explainable AI (XAI) and Trustworthy AI
• Causal Learning and Decision Intelligence
• AI for Optimization and Decision-Making

Track 2: Blockchain Technologies and Systems（区块链技术与系统）

• Blockchain Architecture and Protocol Design
• Consensus Mechanisms and Distributed Ledger Technologies
• Smart Contracts and Formal Verification
• Scalability, Interoperability, and Cross-chain Technologies
• Privacy-preserving Blockchain (e.g., Zero-Knowledge Proofs, MPC)
• Token Economy and Incentive Mechanisms
• Blockchain Performance Optimization

Track 3: AI for Blockchain（人工智能赋能区块链）

• AI-based Blockchain Optimization and Resource Management
• Intelligent Consensus and Adaptive Protocols
• Anomaly Detection and Fraud Prevention in Blockchain Systems
• Smart Contract Analysis using AI
• Predictive Analytics for Blockchain Networks
• AI-driven Blockchain Security

Track 4: Blockchain for AI（区块链赋能人工智能）

• Trusted AI and Decentralized AI Systems
• Data Provenance, Sharing, and Secure Data Markets
• Blockchain-based Federated Learning Frameworks
• Decentralized Model Training and Incentive Mechanisms
• Model Ownership Protection and Intellectual Property Management
• Auditability and Traceability of AI Decisions
 
Track 5: Applications and Emerging Scenarios（应用与新兴场景）

• AI + Blockchain in Finance (FinTech, DeFi)
• Healthcare and Medical Data Intelligence
• Smart Cities and Intelligent Transportation
• Supply Chain Management and Digital Twins
• Industrial Internet and Smart Manufacturing
• Energy Systems and Green Computing
• Web3, Metaverse, and Digital Economy

Track 6: Systems, Platforms, and Experimental Studies（系统与实验研究）

• Prototype Systems and Testbeds
• Benchmarking and Performance Evaluation
• Real-world Deployments and Case Studies
• Open-source Platforms and Tools
• Industrial Applications and Best Practices