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

OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.

The study of the Cahn-Hilliard equation has long provided a robust framework for modelling phase separation in binary mixtures, with applications spanning materials science, tumour growth, and ...

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

For more than five decades, Richard Larson, PhD, has shaped the field of operations research with a deep commitment to solving real-world problems. Since 1969, he has worked as a professor at the ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

The Covid-19 pandemic has triggered a wave of severe economic disruption around the world, causing widespread chaos, profound changes in the business landscape and overwhelming operational challenges.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.

They had to throw away most of what it produced but there was gold among the garbage. Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper ...