Chip startup d-Matrix raises $275M to speed up inference with in-memory compute

Chip startup d-Matrix Inc. today disclosed that it has raised $275 million in funding to support its commercialization ...
Tech Xplore on MSN

RRAM-based analog computing system rapidly solves matrix equations with high precision

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
Visual Studio Magazine

Matrix Inverse Using Cayley-Hamilton with C#

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 ...
EDN

Complex matrix inversion on the StarCore SC3850 DSP

Complex matrix algebra is of great importance to a wide variety of applications. One of the most important application areas is telecommunications. Matrix calculations are used in communications ...
Modern Engineering Marvels on MSN

China’s Analog RRAM Chip Shatters GPU Limits with 1,000× Speed Boost

What if a century-old computing concept suddenly leapfrogged the most advanced GPUs on the planet? That’s exactly what researchers at Peking University have demonstrated with a new analog processor ...
JSTOR Daily

An Extension of Warnaar's Matrix Inversion

We present a necessary and sufficient condition for two matrices given by two bivariate functions to be inverse to each other with certainty in the cases of Krattenthaler formula and Warnaar's ...
JSTOR Daily

Matrix Inversion, Its Interest and Application in Analysis of Data

The Journal of the American Statistical Association (JASA) has long been considered the premier journal of statistical science. Science Citation Index reported JASA was the most highly cited journal ...