Chinese researchers have published a new AI-driven system designed to interpret scramjet combustion simulations at speeds that could compress years of computational work into weeks. The tool, called ...

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

Using data analytics to understand precious metals markets has become a key advantage for investors seeking more accurate forecasts. This article explores how d ...

FAYETTEVILLE, GA, UNITED STATES, March 20, 2026 /EINPresswire.com/ -- Using machine learning regression models, we ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

Former U.S. Census Bureau and Pew Research Center data scientist and survey expert joins public opinion research ...

Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.

We explore critical stages of M&A transactions and examine how AI is now available for deployment at each stage and the ...

Abstract: This research outlines the significance of semi-supervised machine learning (SSML) in dealing with the intricate characteristics of electrical machines. SSML provides a key benefit in ...

Instead of upscaling games from lower resolutions or interpolating frames using AI, DLSS 5 applies machine learning to a game's lighting model. Nvidia calls it the ...

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...