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

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.

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 ...

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

"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.

OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.

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