AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Source: Pastoralists as inspiration in an age of uncertainty | zimbabweland You only have to look at the news each day to realise that we are living in an age of uncertainty. Whether it’s imposing ...

The fact that a range of different approaches to marathon training can work illustrates another important point: we are all ...

This post features biographies and notable quotes from oral history interviews with planetary geophysicist Lynnae Quick, ...

Seven academics from Imperial College London have been appointed Fellows by the National Academy for Mathematical Sciences, as part of an ...

Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Gregory, J.M. (2026) Alzheimer’s Disease: Modeling the Effect of Daily Steps . Journal of Behavioral and Brain Science, 16, ...