Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

In today’s data-driven world, organizations are continuously seeking ways to improve their data analytics capabilities. Traditional business intelligence (BI) tools have provided significant insights, ...

Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.

Understand how big data and machine learning can complement traditional data and analytical techniques in macroeconomic analysis and nowcasting, through practical examples of GDP nowcasting (using ...

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...