AI is now helping produce research-level mathematics, but experts say verifying proofs not generating them is becoming the ...

When the Leiden Declaration on Artificial Intelligence and Mathematics went live on 2 June 2026, things moved quickly. The ...

Mathematics is deemed to be beyond figures. It is described as the foundation of resilience in society. Thus, this made Temitope Comfort Iroko, a PhD candidate in Mathematics at the University of ...

Mathematician Will Sawin discusses his experience reviewing and refining a mathematical proof devised by OpenAI's internal ...

A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making. The findings from Princeton neuroscientists may one day improve how ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

A diagram showing that when decision makers quickly come to a conclusion, the decision is more influenced by their initial bias. If decision makers wait to gather more information, the slower decision ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a widely recognized but poorly understood process in the field of machine ...

If you’re a hacker you may well have a passing interest in math, and if you have an interest in math you might like to hear about the direction of mathematical research. In a talk on this topic [Kevin ...

A Google DeepMind researcher and OpenAI’s former CTO are posing questions about the validity of OpenAI’s claim about its gold-medal score. OpenAI’s latest model has achieved a gold-level score at the ...

Mathematical modelling has proven to be a valuable tool in predicting the delivery and efficacy of molecular, antibody-based, nano and cellular therapy in solid tumours. Mathematical models based on ...

Encouraging advances are being made in cancer immunotherapy modeling, especially in the key areas of developing personalized treatment strategies based on individual patient parameters, predicting ...