Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Abstract: The confusion matrix is a key tool for understanding and evaluating models in supervised classification problems. Various matrices are proposed depending on the problem framework: ...

In education, few issues have stirred more debate in recent years than when middle and high schoolers should take algebra.

Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

Around 400,000 Year 4 pupils are expected to sit for the Year 4 Learning Matrix, the first cohort of the new assessment ...

Around 400,000 Year 4 pupils are expected to sit for the Year 4 Learning Matrix, the first cohort of the new assessment ...

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 ...

Abstract: This work extends a matrix-based numerical methodology to cover fully canonical generalized Chevyshev (GC) transfer functions by reconfiguring canonical filter topologies into dangling ...

Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...

ChatGPT's breakthrough is not what it seems.

ABSTRACT: The aim of this paper is to study the 3x + 1 problem based on the Collatz iterative formula. It can be seen from the iterative formula that the necessary condition for the Collatz iteration ...

Right off the bat, let’s give a shout out to the mathematician propeller-heads who create the transformations that make it possible to do all kinds of high performance computing to simulate, model, ...