New Scientist

Analogue computers could train AI 1000 times faster and cut energy use

Computers built with analogue circuits promise huge speed and efficiency gains over ordinary computers, but normally at the cost of accuracy. Now, an analogue computer designed to carry out calculatio ...
Electronics Weekly

Chinese chip delivers analogue computation as accurate as digital

Researchers from the Institute for Artificial Intelligence at Peking University, led by Sun Zhong, have developed a ...
JSTOR Daily

Practical Methods for the Solution of Linear Equations and the Inversion of Matrices

Series B (Statistical Methodology) of the Journal of the Royal Statistical Society started out simply as the Supplement to the Journal of the Royal Statistical Society in the Society's centenary year ...
TechRepublic

Implementation of Complex Matrix Inversion Using Gauss-Jordan Elimination Method in Verilog

For high data rate wireless communications they use Orthogonal Frequency Division Multiplexing (OFDM) due to its high spectral efficiency and low computational complexity. It gives the architecture of ...
EDN

Implementing matrix inversions in fixed-point hardware

Matrix inversion is an important operationin many state-of-the-art DSP algorithmsand implementations, includingradar, sonar, and multiple antenna systemsfor communications. A commoncomponent of these ...