2021 article
Machine learning in/for blockchain: Future and challenges
Chen, F., Wan, H., Cai, H., & Cheng, G. (2021, June 5). CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE.
author keywords: Bitcoin; blockchain; deep learning; machine learning; reinforcement learning
TL;DR:
This article reviews existing research on combining machine learning and blockchain technologies and demonstrates that they can collaborate efficiently and effectively and point out some future directions.
(via Semantic Scholar)
open access via arxiv.org (repository)
Source: Web Of Science
Added: June 14, 2021
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.