Summary of Blockchain and Artificial Intelligence: Synergies and Conflicts, by Leon Witt et al.
Blockchain and Artificial Intelligence: Synergies and Conflicts
by Leon Witt, Armando Teles Fortes, Kentaroh Toyoda, Wojciech Samek, Dan Li
First submitted to arxiv on: 22 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Distributed, Parallel, and Cluster Computing (cs.DC)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the intersection of blockchain technology and Artificial Intelligence (AI), analyzing the biggest projects that combine these two transformative forces. The authors examine market capitalization to identify leading projects and derive a novel framework for categorizing contemporary and future use cases. However, despite theoretical compatibility, real-world applications combining blockchain and AI remain in their early stages. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how two big technologies, blockchain and AI, can work together. Researchers studied the biggest projects that mix these two technologies and came up with a new way to group them. Surprisingly, even though these technologies seem like they should be great together, we don’t see many real-world examples yet. |
