In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

A credit card can feel like a key, but for many people, it’s a key that doesn’t fit the lock. When credit is bad, fair, or ...

In the world of logistics, the last mile problem describes the final part of the route to deliver a good or service to the ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...

Find out how and why mathematics is used in microeconomics, its limitations, and the math skills that economics students need.

Ecological modelling is the construction and analysis of mathematical models of ecological processes, including both purely biological and combined biophysical models. Models can be analytic or ...