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 ...

A team of Ghanaian and South African mathematicians has earned global recognition for developing the Approximate Analytical ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

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 ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

The right combination of a learning-focused device and curriculum-aligned digital content can significantly impact a child's ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...