“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

OpenAI's GPT-5.2 Pro has solved multiple decades-old Erdős math problems, but Fields Medalist Terence Tao says the wins ...

Mathematical modelling and optimisation in packing problems constitute a critical research area that combines advanced algorithms, rigorous analytical formulations, and practical applications. This ...

Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...

Fractional calculus extends the classical concepts of differentiation and integration to non-integer orders, providing a sophisticated framework for modelling memory and hereditary effects in complex ...

Current AI models struggle to solve research-level math problems, with the most advanced AI systems we have today solving just 2% of the hundreds of challenges faced. When you purchase through links ...

Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

Graduates of RIT’s mathematical modeling Ph.D. program gain the expertise to apply modeling tools across diverse fields, contribute innovative solutions to complex interdisciplinary problems, and ...

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

The University of Delaware Summer Math Modeling Program is a free, nonresidential, five-day program for rising juniors and seniors in high school interested in math modeling. Participating students ...

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...