Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

When checking that solutions to certain problems are correct, it turns out, you can’t get around the inherent complexity of ...

Dylan Kane likes his math curriculum. But there’s one important piece missing, he says. The 7th grade math teacher in Leadville, Colo., uses a program that teaches math skills through real-world ...

Post-quantum cryptography military deadline: the Department of War’s first PQC strategy sets a binding 2031 mandate for every ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

Quantum computing has long carried an aura of exclusivity, cloaked in dense academic papers and ultra-cold laboratory systems understood by only a small circle of physicists and mathematicians.

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...

Summary: The line between biology and computer science just got even blurrier. Researchers have successfully trained living rat neurons to perform complex machine learning tasks. The study integrated ...

Abstract: Recently, analog matrix inversion circuits (INV) have demonstrated significant advantages in solving matrix equations. However, solving large-scale sparse tridiagonal linear systems (TLS) ...

Abstract: In this paper, a memory-enhanced distributed accelerated algorithm is proposed for solving large-scale systems of linear equations within the context of multi-agent systems. By employing a ...