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

AI agents can't recommend what they can't understand. Your product data structure determines whether agents see you as a viable option or skip you entirely.

Abstract: Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Across the country, states are passing new laws aimed at improving math teaching—mandating that schools intervene early to ...

Abstract: We present a multi-way parallel corpus of Math Word Problems (MWPs) in nine languages, including six low-resource languages. To date, this is the largest multilingual MWP dataset available.

LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...

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

Five states — Georgia, California, Tennessee, Utah and Oregon — have better aligned high school and college math courses in ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Algebra is a core part of mathematics that develops critical thinking and problem‑solving skills. Among its many topics, ...