This is a preview. Log in through your library . Abstract In this paper, we develop an efficient algorithm to solve linear system Ax = b where the coefficient matrix A is k-almost normal. We propose ...

A new study has found that using a digital support algorithm to guide diagnosis and treatment by healthcare providers significantly reduced the number of antibiotic prescriptions given to acutely sick ...

New Linear-complexity Multiplication (L-Mul) algorithm claims it can reduce energy costs by 95% for element-wise tensor multiplications and 80% for dot products in large language models. It maintains ...

Magnetic resonance imaging (MRI) is among the most commonly used imaging methods in preclinical studies as it non-invasively produces multiparametric data of tissues and organs. An animal organism’s ...

Bias in algorithms have always been a key issue in the growing field of artificial intelligence. For instance, researchers found in an experiment that flawed AI in robots has the tendency to make ...

Durham, N.C.-based Duke Health found that algorithms were 13 percent more accurate than humans at predicting surgical time needed in the operating room. For a study, a team of Duke Health data ...