IEEE

Improving the Accuracy of the Adaptive Cross Approximation With a Convergence Criterion Based on Random Sampling

Abstract: The accuracy of the adaptive cross approximation (ACA) algorithm, a popular method for the compression of low-rank matrix blocks in method of moment computations, is sometimes seriously ...
Tech Xplore

Ferroelectric memory enables one chip to sample randomness and compute for generative AI

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

How to Read Polls: Margins of Error, Samples, and Framing

Learning to read a survey means understanding margins of error, sampling, weighting, and media framing, with an essential ...

A Simple Saliva Test Could Tell You the Exact Moment When Your Brain Is Most Prepared to Learn

A new study reveals how a simple hormone balance in your saliva may be able to predict when your memory is at peak ...
Nature

Making samples one billion times bigger lets simple microscopes pinpoint amino acids

Stretching protein samples in all directions pulls molecules farther apart, allowing them to be visualized using only light ...
IEEE

Ladle furnace temperature prediction model based on large-scale data with random forest

Abstract: In ladle furnace, the prediction of the liquid steel temperature is always a hot topic for the researchers. The most of the existing temperature prediction models use small sample set. Today ...