Blockchain Based Platform
Blockchain-based platforms are being developed to enhance the security, transparency, and efficiency of various applications, primarily by leveraging the decentralized and immutable nature of blockchain technology. Current research focuses on integrating advanced machine learning models, such as graph neural networks, transformers, and recurrent neural networks, to improve tasks like fraud detection, financial prediction, and secure data sharing in areas like healthcare and IoT. This interdisciplinary field is significant because it addresses critical challenges in data privacy, security, and trust, with potential applications ranging from secure data management in smart cities to verifiable AI model deployment.
Papers
Block MedCare: Advancing healthcare through blockchain integration with AI and IoT
Oliver Simonoski, Dijana Capeska Bogatinoska
Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence
Youquan Xian, Xueying Zeng, Duancheng Xuan, Danping Yang, Chunpei Li, Peng Fan, Peng Liu