Introduction: Neurodegenerative diseases pose significant challenges owing to the limited number of effective therapies. Nerve growth factor (NGF) plays a crucial role in neuronal survival and ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

There is little debate that AI will revolutionize working practices, but there is less agreement about the best way to exploit this transformation. While 90% of CIOs are piloting AI or investing in ...

At crime scenes around the world, the forensic entomologist Paola Magni is taking her field into uncharted waters By Jordan Michael Smith Photographs by Guido Gazzilli and Claire Martin Paola Magni in ...

Abstract: Matrices are the foundation of science and engineering. For artificial intelligence (AI) and Internet of Things (IoT) tasks, developing a hardware efficient way to find the eigenvector of ...

In a new peer-reviewed study, Ne'Kiya Jackson and Calcea Johnson outlined 10 ways to solve the Pythagorean theorem using trigonometry, including a proof they discovered in high school. When you ...

The formulations of the boundary element method for dynamic problems, whether acoustic or elastodynamic, that use a more straightforward fundamental solution and consequently require the use of Radial ...

This article presents a from-scratch C# implementation of the second technique: using SVD to compute eigenvalues and eigenvectors from the standardized source data. If you're not familiar with PCA, ...