Mathematicians from the California Institute of Technology have solved an old problem related to a mathematical process called a random walk.

More than 900 students at UC San Diego needed catch-up math classes in the fall of 2025 compared to 32 five years earlier.

Overview: Functional programming prevents unintended data changes, reducing errors in large systems.Pure functions improve testing accuracy because outputs depe ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Applications are now open for the 2026 American Fidelity STEM Teacher Fellowship! It’s hard for me to think of why ...

There are some languages that don't need mass appeal to be loved. Elixir, Lua, Zig, Clojure, Julia, and Rust prove that point ...

DeepMind's Aletheia is a huge advance in AI-driven mathematical reasoning. It is a research agent built on top of Gemini Deep ...

The GNU C compiler is excellent with reasoning about Boolean values. It may be too clever. Like Microsoft Clippy-level clever ...

Abstract: This paper investigates the capabilities of large language models (LLMs) in formulating and solving decision-making problems using mathematical programming. We first conduct a systematic ...

MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...

Technological trends are often short-lived and have no lasting effect. New programming languages show up every year, promising faster builds and simpler syntax. Although many competitors have entered ...