Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new ...

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

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

Abstract: Early detection and treatment are key components in improving patient survival rates in cases of soft tissue cancers. In this talk, we present a linear elasticity model that describes the ...

Deputy Director of the DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences and Senior Lecturer in the School of Computer Science and Applied Mathematics, University of the ...

There’s a curious contradiction at the heart of today’s most capable AI models that purport to “reason”: They can solve routine math problems with accuracy, yet when faced with formulating deeper ...

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.

"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.