The prevailing approach in AI development follows the "scaling law," which assumes that increasing computational power and ...

The eZAF approach, with SCC and MACC databases, significantly enhances EDS quantitative accuracy, minimizing deviations in ...

This paper estimates the effect of electricity prices on firm performance, focusing on firm productivity, sales, and employment. Using the World Bank Business Pulse Survey data for a sample of 24 ...

Credit: NASA/JPL-Caltech There is a perception that NASA’s Mars Sample Return (MSR ... the upper stage might not have telemetry, hence “no data” if imperfect spinning slips past stability ...

Modern protein drug discovery relies on successfully integrating computational predictions and experimental data. As the volume and complexity of both predicted and empirical data continues to ...

Empirical calibration using effect-size estimates for negative control ... From these we derive a large set of performance metrics, which vary depending on choices of which control outcomes and data ...

Data normalization is vital to single-cell sequencing ... SAMseq is a nonparametric approach to differential expression in bulk sequencing, designed to be resistant to outliers (Li and Tibshirani, ...

This paper provides an empirical study of eleven alternative augmentation techniques for ... of different augmentation techniques and their combinations on both same-year and cross-year test data ...

This repository contains sample code and sample data for SAP HANA Cloud learning content such as like learning tracks, tutorials, and missions.