Abstract

Blockchain is gaining extensive attention due to its provision of a secure and decentralized resource sharing manner. However, the incumbent blockchain systems also suffer from challenges in aspects of operational maintenance, quality assurance of smart contracts, and malicious behavior detection of blockchain data. The recent advances in artificial intelligence bring opportunities in overcoming the above challenges. The integration of blockchain with artificial intelligence can be beneficial to enhance current blockchain systems. This article presents an introduction to the convergence of blockchain and artificial intelligence (namely blockchain intelligence). This paper also gives a case study to further demonstrate the feasibility of blockchain intelligence and point out future directions.

Bibtex

@ARTICLE{ZZheng:IEEEBTB20,
   author={Z. Zheng and H.-N. Dai and J. Wu },
   journal={IEEE Blockchain Technical Briefs}, 
   title={Blockchain Intelligence: When Blockchain Meets Artificial Intelligence}, 
   year={2020},
   volume={},
   number={},
   pages={1 - 4},
}