Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...

Michel Jean] asked a question few others might: what exactly is going on under the hood of a classic HP scientific calculator when one presses the ∫ key? A numerical integration, sure, but how ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Apply now for 2026 entry or join us on a discovery afternoon to see where a Sheffield masters could take you. Being able to manage complicated civil engineering systems efficiently is an important ...

Work by UB mathematician Gino Biondini builds on centuries of research devoted to using math to describe the physical world.

Abstract: The primary objective of this paper is to develop a new method for root-finding by combining forward and finite-difference techniques in order to provide an efficient, derivative-free ...

Abstract: Nonlinear Fredholm Integral Equation (NFIEs) often arise in the formulation of a wide range of engineering scenarios, including heat transfer, elasticity, modeling of fluids and ...