Blockchain Technology Integration Across Diverse Domains in Machine Learning Applications

Machine learning (ML) and Blockchain play fundamental roles in cryptocurrencies, and both are essential technology. By solving the intrinsic shortcomings in data security even with encryption, machine learning (ML) integration into blockchain improves its efficacy. Since machine learning (ML) strengthens blockchain applications against security risks, a thorough analysis of their complementary roles in improving security is an important aspect. This research paper proposes how Blockchain technology is developing and highlights about interdisciplinary research in the domains of artificial intelligence (AI) and machine learning (ML) and might help realise its transformative potential. The decentralized nature of Blockchain corresponds well with the significant need for data analysis in the machine learning field, offering a wealth of research options. Our methodology centres on the application of Blockchain-based smart contracts to improve openness and cooperation in machine learning workflows. This entails the combination of blockchain technology and machine learning, a synergy exemplified with case study.