AI for Math

AI for math has seen a growing number of exciting results from industry labs and academic researchers alike. However, open-source projects that benefit the field as a whole are underfunded both by industry and by traditional academic grants. Although the National Science Foundation has a modest program at the intersection of AI and math ($6 million per year), increased support can advance both the pace and impact of math discovery.

Philanthropy can have a large counterfactual impact by supporting projects that have the potential to advance the field as a whole. These include: developing open-source, production-quality tools; increasing the size, diversity and quality of datasets required for training AI models; and increasing the ease-of-use of tools so that they are adopted by mathematicians.

As Swiss Applied Mathematical Society, we advocate to have mathematicians and physisits to work together focusing on the AI for Analytic Number Theory. Number Theory is considered the "crown jewel" of mathematics. To use AI advancing it by open-source will be a great journey we will go through.