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AUTHOR(S): Nikos E. Mastorakis
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ABSTRACT The rapid advancement of artificial intelligence (AI), particularly in deep learning, offers transformative potential for blockchain networks such as XRP, Ethereum, and Solana. This paper explores the applications of AI to enhance security, scalability, smart contract functionality, and user experience in these blockchain ecosystems. We highlight existing AI models suitable for predictive analytics, anomaly detection, fraud prevention, and gas optimization, and we propose specific use cases for each blockchain. Finally, we assess future directions where the synergy between AI and decentralized technologies could lead to intelligent, autonomous, and adaptive blockchain infrastructures. Blockchain networks such as XRP, Ethereum, and Solana have revolutionized decentralized finance, smart contracts, and cross-border transactions. However, challenges remain in security, scalability, usability, and environmental impact. This paper presents an in-depth exploration of how Deep Learning (DL) and Artificial Intelligence (AI) technologies in general can enhance these blockchain platforms. We analyze AI applications in security threat detection, transaction fee optimization, consensus enhancement, user interface improvements, market prediction, and energy efficiency. |
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KEYWORDS Deap Learning, Artificial Intelligence, XRP, Ethereum, Solana |
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Cite this paper Nikos E. Mastorakis. (2025) How Deep Learning and Artificial Intelligence in General Can Improve XRP, Ethereum, and Solana Networks. International Journal of Internet of Things and Web Services, 10, 34-43 |
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