Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Explore Pliny Fisk III's revolutionary approach to architecture that uncovers hidden local materials for sustainable building ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

More information: David W. Everett, Dairy Foods: A Matrix for Human Health and Precision Nutrition—The impact of the dairy food matrix on digestion and absorption, Journal of Dairy Science (2025).

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear.

Calvet, R.G. (2017) On Matrix Representations of Geometric (Clifford) Algebras. Journal of Geometry and Symmetry in Physics, 43, 1-36.

Thanks to a mouse watching clips from “The Matrix,” scientists have created the largest functional map of a brain to date.

WASHINGTON, D.C. - Today, voting rights advocates argued before the Supreme Court in Louisiana v. Callais that a congressional map that was in place during the 2024 election cycle should remain ...

We present a method for noniterative maximum a posteriori (MAP) tomographic reconstruction which is based on the use of sparse matrix representations. Our approach is to precompute and store the ...

MatMul-free LM removes matrix multiplications from language model architectures to make them faster and much more memory-efficient.