AI Expands Mathematics: A New Frontier of Reverse Problem Generation for Computational AI, Q&A
Associate Professor Hiroshi Kera of Chiba University builds the answer first and constructs the problem around it — a reversal that turned an unglamorous data-generation chore into two new algebraic theorems. We set out what reverse problem generation is, the published runtimes behind it, how accurate the resulting Transformer models actually are, and why Kera expects a field he provisionally calls “AI Algebra” to grow out of the approach.