Research on artificial intelligence (AI) for blockchain-based applications explores the synergy between AI techniques and blockchain technology to enhance security, efficiency, and decision-making in decentralized systems. AI algorithms, including machine learning and deep learning, are employed to optimize blockchain operations such as transaction verification, anomaly detection, and consensus mechanism improvement. In addition, AI can analyze large-scale blockchain data for predictive insights, fraud detection, and network performance optimization. The integration of AI with smart contracts enables adaptive and autonomous decision-making, while AI-driven analytics improve resource allocation and scalability in blockchain networks. Overall, combining AI with blockchain enhances the intelligence, security, and operational efficiency of decentralized applications across finance, healthcare, supply chains, and other domains.