Artificial Intelligence and Blockchain Technologies: A Convergence for Future Innovations
Keywords:
Blockchain, evolution, Artificial Intelligence, human intelligenceAbstract
Artificial Intelligence (AI) and Blockchain technologies are two revolutionary advancements reshaping various industries. AI, with its ability to process and analyze massive datasets, and Blockchain, known for its decentralized and secure ledger system, hold the potential to complement each other in unique ways. This paper explores the convergence of AI and Blockchain, their applications across industries, challenges, and future prospects.
Downloads
References
Aravind Ayyagiri, Prof. (Dr.) Punit Goel, & A Renuka. (2024). Leveraging AI and Machine Learning for Performance Optimization in Web Applications. Modern Dynamics: Mathematical Progressions, 1(2), 89–104. https://doi.org/10.36676/mdmp.v1.i2.13
Avinash Gaur. (2022). Exploring the Ethical Implications of AI in Legal Decision-Making. International Journal for Research Publication and Seminar, 13(5), 257–264. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/273
Belchior, R.; Vasconcelos, A.; Correia, M.; Hardjono, T. Enabling Cross-Jurisdiction Digital Asset Transfer. In Proceedings of the 2021 IEEE International Conference on Services Computing (SCC), Virtual, 5–11 September 2021; pp. 431–436. [Google Scholar] [CrossRef]
Castro, M.; Liskov, B. Practical Byzantine Fault Tolerance. In Proceedings of the Third Symposium on Operating Systems Design and Implementation, New Orleans, LA, USA, 22–25 February 1999; pp. 173–186. [Google Scholar]
Choudhury, L. K. (2022). STUDY ON ROLE OF LOGIC IN AI18 AND PROBLEM SOLVING USING ARTIFICIAL INTELLIGENCE. Universal Research Reports, 9(4), 282–290. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/1042
European Central Bank. Eurosystem Proceeds to Next Phase of Digital Euro Project, 2023. Available online: https://www.ecb.europa.eu/press/pr/date/2023/html/(accessed on 28 September 2023).
Lippon Kumar Choudhury. (2022). STUDY ON LOGIC AND ARTIFICIAL INTELLIGENCE SUBSETS OF ARTIFICIAL INTELLIGENCE. Innovative Research Thoughts, 8(1), 127–134. Retrieved from https://irt.shodhsagar.com/index.php/j/article/view/1114
Lohia, A. (2024). Quantum Artificial Intelligence: Enhancing Machine Learning with Quantum Computing. Journal of Quantum Science and Technology, 1(2), 6–11. https://doi.org/10.36676/jqst.v1.i2.9
Maurer, B. The social life of money in the digital age. Annu. Rev. Anthropol. 2013, 42, 497–516.
Payal. (2013). The Impact of Artificial Intelligence on Manufacturing Processes. Darpan International Research Analysis, 1(1), 12–16. Retrieved from https://dira.shodhsagar.com/index.php/j/article/view/3
State of Enterprise Blockchain Adoption 2023. Available online: https://www.casperlabs.io/blog/the-state-of-enterprise-blockchain-adoption-in-2023 (accessed on 28 September 2023).
World Economic Forum. EU Unveils Plans for Digital Euro, Promising Complete Privacy, 2023. Available online: https://www.weforum.org/agenda/2023/08/digital-euro-is-coming-privacy/ (accessed on 28 September 2023).
Vukolić, M. The quest for scalable blockchain fabric: Proof-of-work vs. BFT replication. In Proceedings of the International Workshop on Open Problems in Network Security, Zurich, Switzerland, 29 October 2015; pp. 112–125. [Google Scholar]
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Scientific Journal of Artificial Intelligence and Blockchain Technologies

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.