Whether you're tackling business challenges, personal decisions, or technical puzzles, real-world data gives you an edge. You learn to break problems down, challenge assumptions, and find solutions ...

A San Diego biotech has set out to solve the formula for best-in-class antibody-drug conjugates, raising $120 million with support from Big Pharma Merck & Co. to fuel its efforts. Solve Therapeutics’ ...

With technology continuing to change the way the world travels, there are certain aspects of the airline game that remain very much in the realm of the so-called "old school." Airplanes themselves, ...

In 1945, as the first atomic bomb exploded in the New Mexico desert, Enrico Fermi stood miles away, holding a few scraps of paper. As the shockwave rolled toward him, he dropped the papers and watched ...

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: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d’Armi, 09123 Cagliari, Italy ...

As AI automates more knowledge work, the organizations that thrive will be those that master human relationships. Matrix organizations present well-known challenges: difficulty influencing across ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

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 ...