Applied Sciences

Machine learning (ML) technology allows machines to learn, think, and make intelligent decisions autonomously. The fundamental approach of ML is building efficient algorithms that are capable of predicting the future learned through experience. Blockchain, on the other hand, is distributed ledger technology that is immutable, decentralized, and provides secure storage of data without the need for a trusted third party. The convergence of ML and blockchain will complement each other to produce a greater impact and availability of different services, including healthcare, supply chain, transportation, and power sectors. These services include a large number of network elements and edge devices that generate a huge amount of data that raise potential security concerns and data optimization issues.