Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Mathematicians at EPFL have developed a theorem that reveals why some powerful analysis tools excel at distinguishing between complex data – and how ...

Indian mathematician and 2025 winner of the Maryam Mirzakhani New Frontiers Prize for her work at the intersection of ...

Computational chemists at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences have developed a ...

In 1946, the mathematician Paul Erdős posed the unit distance problem—and suggested a winning strategy. An A.I. model has now ...

She is one of the world’s experts in what she and others in her field call ‘digital mathematics’: a term of their own to ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in ...

Compositional data (CoDa) are prevalent in environmental research. They represent parts of a whole, such as percentages, proportions, and relative or absolute abundances. They are arrays of positive ...

Five years ago, mathematicians Dawei Chen and Quentin Gendron were trying to untangle a difficult area of algebraic geometry involving differentials, elements of calculus used to measure distance ...

Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...

Achieving theoretical guarantee and computational efficiency simultaneously through the development of j-LANCE, a Bayesian ...