Summary of Mathematics and Machine Creativity: a Survey on Bridging Mathematics with Ai, by Shizhe Liang et al.
Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI
by Shizhe Liang, Wei Zhang, Tianyang Zhong, Tianming Liu
First submitted to arxiv on: 21 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| 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 presents a comprehensive overview on the applications of artificial intelligence (AI) in mathematical research, highlighting its transformative role in this domain. Recent advancements in reinforcement learning (RL), large language models (LLMs), and their contributions to mathematical research are discussed. The survey aims to establish a bridge between AI and mathematics, providing insights into mutual benefits and fostering deeper interdisciplinary understanding. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how artificial intelligence is helping math research. AI has usually been built on the ideas of math and statistics, but now it’s showing that it can also help with math by giving flexible ways to solve problems and powerful thinking tools. The survey tries to connect AI and math, highlighting what each field can learn from the other. |
Keywords
» Artificial intelligence » Reinforcement learning
