MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This achievement proposes a ...

Abstract: Parallel Sparse Matrix Vector Multiplication (PSpMV) is a compute intensive kernel used in iterative solvers like Conjugate Gradient, GMRES and Lanzcos. Numerous attempts at optimizing this ...

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 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

The Defense Advanced Research Projects Agency (DARPA) is taking a significant step toward overcoming the challenges of assembling large-scale structures in orbit by testing new in-space manufacturing ...

A new technology for autonomously operating aircraft dubbed "MATRIX" is drawing scrutiny across social media after a commercial airliner collided with a military helicopter in Washington, D.C. on ...

Profiling is a crucial step in optimizing the performance of C programs, allowing developers to identify and improve the most time-consuming parts of their code. GNU Gprof is a powerful profiling tool ...

In this study, composites obtained through low-temperature carbonization of elastomeric matrix highly filled with graphite, carbon black and short carbon fibers were studied for the purpose of ...

Jennifer Walinga has received funding from WorkSafeBC, SSHRC, viaSport, and Royal Roads University. Nancy Coldham does not work for, consult, own shares in or receive funding from any company or ...