Machine learning in/for blockchain: Future and challenges
Machine learning in/for blockchain: Future and challenges
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DOI：
10.1002/cjs.11623
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发表时间：
2021-06-05
影响因子：
0.6
通讯作者：
Cheng, Guang
中科院分区：
文献类型：
--
作者：
Chen, Fang;Wan, Hong;Cheng, Guang
机器学习和区块链是近年来最引人注目的两项技术。第一个是人工智能和大数据分析的基础，第二个对金融业产生了重大颠覆。这两种技术都是数据驱动的，因此人们对集成这两种技术以实现更安全、更高效的数据共享和分析的兴趣迅速增长。在本文中，我们回顾了有关机器学习和区块链技术相结合的现有研究，并证明它们可以高效且有效地协作。最后，我们指出了一些未来的方向，并期望对这两种有前途的技术进行更深入的集成进行更多的研究。
Machine learning and blockchain are two of the most notable technologies of recent years. The first is the foundation of artificial intelligence and big data analysis, and the second has significantly disrupted the financial industry. Both technologies are data-driven, and thus there are rapidly growing interests in integrating both for more secure and efficient data sharing and analysis. In this article, we review existing research on combining machine learning and blockchain technologies and demonstrate that they can collaborate efficiently and effectively. In the end, we point out some future directions and expect more research on deeper integration of these two promising technologies.