Blockchain and artificial intelligence are currently two growing technologies. These two technologies are very different development parties and applications, but researchers have experimented with combining them into one. Blockchain is a decentralized distributed ledger used to store encrypted data, and AI is the brain that enables analysis and decision-making from the collected data. Both technologies can affect and manipulate data in very different ways, and when combined, can take data usage to another level. Blockchain makes AI more consistent and easier to understand. You can also understand and identify why machine learning decisions are made. In addition, AI can improve blockchain efficiency much better than humans and is better than standard computers. This report looks at how blockchain runs on a standard computer and demonstrates that it requires a lot of processing power to perform basic tasks. It also gives a detailed overview of blockchain applications for AI. We'll go over the literature, vocabulary, and the creation of AI-specific block-chaining apps, platforms, and protocols.
Cite this article:
Yojna Arora, Vishal. Blockchain in AI. Research Journal of Engineering and Technology. 2022; 13(2): 61-3. doi: 10.52711/2321-581X.2022.00007
Yojna Arora, Vishal. Blockchain in AI. Research Journal of Engineering and Technology. 2022; 13(2): 61-3. doi: 10.52711/2321-581X.2022.00007 Available on: https://ijersonline.org/AbstractView.aspx?PID=2022-13-2-2
1. A. Maxmen, “Ai researchers embrace bitcoin technology to share medical data,” Nature, vol. 555, pp. 293–294, 2018.
2. Z. Baynham-Herd, “Technology: Enlist blockchain to boost conservation,” Nature, vol. 548, no. 7669, p. 523, 2017.
3. S. Ahmed and N. ten Broek, “Food supply: Blockchain could boost food security,” Nature, vol. 550, no. 7674, p. 43, 2017.
4. S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” 2008.
5. M. Swan, Blockchain: Blueprint for a new economy. " O’Reilly Media, Inc.", 2015
6. M. Koch, “Artificial intelligence is becoming natural,” Cell, vol. 173, no. 3, pp. 531–533, 2018
7. J. Schmidhuber, “Deep learning in neural networks: An overview,” Neural networks, vol. 61, pp. 85– 117, 2015.
8. N. A. Team, “Nebula ai (nbai)âA˘Tdecentralized ai blockchain whitepa- ˇ per,” 2018.
9. [T. N. Dinh and M. T. Thai, “Ai and blockchain: A disruptive integration,” Computer, vol. 51, no. 9, pp. 48– 53,201