Corbin Young previews the starting pitcher position for 2026 fantasy baseball, giving you his top sleepers and fades.
Fundamental raises $255M and launches NEXUS, its most powerful Large Tabular Model, turning enterprise tables into predictive intelligence at scale.
Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...
Abstract: Bananas are among the world’s most widely farmed, traded, and consumed fruits. Bananas contain several vitamins and minerals, including vitamin B6, vitamin C, magnesium, and manganese.
This study presents DeepTX, a valuable methodological tool that integrates mechanistic stochastic models with single-cell RNA sequencing data to infer transcriptional burst kinetics at genome scale.
For years, college baseball coaches have complained quietly—and sometimes not so quietly—that the sport’s biggest games are too often shaped by inconsistent strike zones rather than players on the ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes with 92% accuracy from one to three years after patients received cochlear ...
Abstract: During hemodialysis, intradialytic hypotension, a risk factor for cardiovascular complications, can occur due to fluid removal, dialysate-induced vasodilation, and osmotic pressure ...
Baseball teams have long searched for a way to study the entire swing without sensors or complex lab setups. Today, a new solution is entering the picture. Theia, an AI biomechanics company, debuted a ...
The MarketWatch News Department was not involved in the creation of this content. Tested by Driveline Baseball and the PLNU x San Diego Padres Biomechanics Lab, Theia's sensor-free system delivers ...
GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...
Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however ...