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 ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

Mental math shortcuts suggest future STEM performance—and gender is a significant predictor What is 29 + 14?

Researchers at the Center for Computational Sciences, University of Tsukuba, have developed an accessible platform to overcome the limitations of conventional static docking simulations, offering new ...

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.

Artificial intelligence is a game changer across many fields these days and mathematics is no exception. Yet, the rapid acceleration of its ability to solve some of arithmetic’s most challenging ...

Doyne Farmer says a super-simulator of the global economy would accelerate the transition to a green, clean world It’s a mind-blowing idea: an economic model of the world in which every company is ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

Two vectors close vectorA vector quantity has both direction and magnitude (size). are parallel if they have the same (or opposite) directions. Their magnitude can be different. In the image to the ...

Advanced AI models appear willing to deploy nuclear weapons without the same reservations humans have when put into simulated geopolitical crises. Kenneth Payne at King’s College London set three ...