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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 ...
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 ...
JSTOR Daily

Solving Sylvester Equation with Complex Symmetric Semi-Definite Positive Coefficient Matrices

Combination of real and imaginary parts (CRI) works well for solving complex symmetric linear systems. This paper develops a generalization of CRI method to determine the solution of Sylvester matrix ...
JSTOR Daily

Solving split generalized mixed equality equilibrium problems and split equality fixed point problems for nonexpansive-type maps

Let X be a 2-uniformly convex and uniformly smooth real Banach space. In this paper, an iterative algorithm of Krasnosel’skii-type is constructed and used to approximate a common solution of split ...
Ars Technica

DeepMind breaks 50-year math record using AI; new record falls a week later

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...