Can AI solve graduate-level math problems in many domains ?
Cast your vote — then read what our editor and the AI models found.
Beyond undergraduate calculus into combinatorics, abstract algebra, real analysis. Not all of math, but a lot of it.
AI systems have made significant progress in solving graduate-level math problems, particularly with the development of deep learning and machine learning algorithms. These systems can now solve complex problems in various domains, such as algebra, geometry, and calculus, often with a high degree of accuracy. However, their ability to solve problems across many domains is still limited, and they often require significant training data and computational resources to achieve good results. While AI systems are not yet capable of fully replacing human mathematicians, they can be useful tools for assisting with certain types of mathematical problems.
— Enriched May 9, 2026 · Source: MIT News — https://news.mit.edu/
Gallery
No images yet — upload one below to start the gallery.
Disagree? Post your comment below.
What the audience thinks
No 5% · Yes 92% · Maybe 3% 188 votesDiscussion
no commentsMore in Judgment
Can AI design a fair and unbiased algorithm that can rank candidates for a job opening based on their qualifications and experience ?
Can AI pass the bar exam at top-decile human level ?
Can AI replace 50% of all drug discovery research by autonomously designing and testing new molecules in silico using generative ai and quantum computing simulations ?