A guy who used to protect NFL quarterbacks is now involved with something else entirely: one of math's most basic tools. The ...

A new approximate matrix exponential method simulates Markov kinetic models of ion channels an order of magnitude faster and ...

Mathematicians in India have borrowed a century-old family of polynomials to solve some of the most stubborn equations in ...

Physics-informed neural networks (PINNs) often struggle to solve stiff partial differential equations (PDEs) with moving boundaries, such as convection-dominated droplet drying with shrinking domains ...

After retiring from the Baltimore Ravens, John Urschel said he looked forward to being known as "that mathematician who used ...

AI data centers face grid limits. Discover how CPU orchestration, NVIDIA Rubin thermal cooling, geothermal baseload, and ...

John Urschel had an unusual career plan. He played professional football for the Baltimore Ravens while pursuing mathematics, ...

John Urschel left the Baltimore Ravens in 2017 to pursue mathematics full time. Nine years later, the former offensive lineman... Read More ...

This paper develops a Chebyshev Wavelet Operational Matrix Method (CWOMM) for solving a novel class of nonlinear mixed Volterra–Fredholm fractional integro-differential equations with state-dependent ...

You attend lectures. You copy the notes from the board. Yet, when you go home and look back at them, you have no idea what you wrote down. Those who didn't dislike math until high school are the ones ...

How labs and utilities tested quantum computing for power grids at IEEE Quantum Week 2026, and why a classical solver still ...

"I was good at math until middle school, and I always scored over 90 on regular tests.""Yet, as soon as I entered high school ...