The resources are categorized under various headings such as education, collaboration, tools and repositories, research, and incentive structures. Under each category, there are sub-categories with specific resources listed. For instance, under education, there are textbooks and survey papers, wikis and glossaries, tutorials, and course materials. Similarly, under tools and repositories, there are ML frameworks, proof assistants, constraint solvers & automated theorem provers, computational mathematics tools, and more. The document also provides links to various forums, databases, search engines, and AI tools for math. It encourages the community to contribute to the document and help it grow.
Key takeaways:
- The document is a preliminary list of resources for those interested in the field of AI for Math, compiled as part of the AI to Assist Mathematical Reasoning workshop.
- The list includes textbooks, survey papers, wikis, glossaries, tutorials, course materials, blogs, opinion pieces, personal experiences, forums, tools and repositories, ML frameworks, proof assistants, constraint solvers, automated theorem provers, computational mathematics tools, mathematics databases, mathematical search engines, integrated AI for Math tools, datasets and benchmarks, language models and chatbots, math OCR, research, meta-bibliography, venues, and incentive structures.
- The document encourages readers to add comments or suggestions to the document, either through the "comment" feature of Google Docs or by typing directly into the document in suggestion mode.
- The document also thanks everyone who has contributed to the list so far and emphasizes that it is a collaborative effort.