Math anxiety grows from stress, culture, and experience, not ability. By changing how we teach, test, and talk about math, we ...

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

Playing linear number board games, those where players move pieces along a straight numbered path, can significantly ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

Explore the moment of inertia tensor of a solid cube using two different methods. This short compares approaches, highlights symmetry, and shows how each method leads to the same tensor—building ...

For a Summer Undergraduate Research Fellowship project, Carnegie Mellon University sophomore Jasmine Li worked with robotic arms in the Robotic Caregiving and Human Interaction Lab to analyze the ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Abstract: The pre-computation of data cubes is critical to improve the response time of On-Line Analytical Processing (OLAP) system. However, as the size of data grows, the time it takes to construct ...

If you’re anything like me, you’ll wear maybe three outfits on a holiday yet pack 10.

TUCSON, Ariz. (13 News) - Seventy-three percent of Pima County eighth graders aren’t proficient in math, prompting teachers to find new strategies to help students succeed. The University of Arizona’s ...

In this paper a filled function method is suggested for solving nonlinear systems of equalities and inequalities. Firstly, the original problem is reformulated into an equivalent constrained global ...