“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Abstract: Nonlinear equation systems are ubiquitous in a variety of fields, and how to tackle them has drawn much attention, especially dynamic ones. As a particular class of recurrent neural network, ...

If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.

Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...