The PHISPLIT algorithm approximates actions of phi-functions for d-dimensional Kronecker sums of matrices using a mu-mode approach. The technique is based on a ...

Abstract: The element-wise functions of a matrix are widely used in machine learning. For the applications with large matrices, efficiently computing the matrix-vector multiplication of matrix element ...

A new imaging method that can reveal objects concealed behind opaque materials like sand, fog and human tissue for instance, has been developed by researchers at the Institut Langevin in Paris and TU ...

This technical animation shows the setup and function of the Digital Matrix LED headlights in the Audi Q3 SUV. President Donald Trump's $2,000 Tariff Stimulus Check Proposal Comes With 3 Potentially ...

Automatic differentiation has transformed the development of machine learning models by eliminating complex, application-dependent gradient derivations. This transformation helps to calculate Jacobian ...

I'm no stranger to robot vacuums or robot mops. A decade ago, I tested both as part of my job at America's Test Kitchen and, frankly, most models left a lot to be desired. At that time, robot vacuums ...

Implementing LRR from scratch is harder than using a library like scikit-learn, but it helps you customize your code, makes it easier to integrate with other systems, and gives you a complete ...

OpenBLAS 0.3.21 works perfectly with GNU Octave, but 0.3.22 causes several test failures in matrix inverses, eigenvector calculations, and sparse matrix operations. These include returning Inf instead ...