Discover the top AI tools for learning maths with visuals, step-by-step help, and smart practice to master concepts faster ...

Abstract: In this work, we propose a complex-valued neural operator (CV-NeuralOp) based on graph neural networks (GNNs) to solve 2-D wave equations. Inspired by Green’s function method for solving ...

A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...

If you are a math teacher in 2025, you have likely had The Conversation in the faculty lounge. It usually goes something like this:"I assigned a worksheet on qu ...

This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...

Aravind Srinivas, the chief executive of AI search startup Perplexity, has said that artificial intelligence systems are still fundamentally dependent on humans to define what problems are worth ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on even the most untidy handwritten math answers—much like a human instructor.

More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, physicists are finding that those same equations describe how nature behaves ...

Abstract: Real-world Vehicle Routing Problems (VRPs) involve multiple operational attributes such as capacity limits, time windows, backhauls, open routes, and route ...