Researchers introduced AdditiveGDL, a generative deep learning method that predicts local thermal distributions across metal ...

A research team led by Prof. Yousung Jung of the Department of Chemical and Biological Engineering at Seoul National University (SNU) has developed an innovative AI-based technology that uses large ...

Automatically numbering and weighting electronic states instead of taking averages improves estimates of target molecular orbitals.

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...

Tempe, Arizona - January 15, 2026 - PRESSADVANTAGE - Tonys Picks, a California company, announced today the integration ...

Paramount Business Jets reports that advances in aviation tech enhance safety by improving turbulence prediction, situational ...

Bless Web Designs introduces Neuro-Responsive Framework™ achieving 73-91% AI recommendation rates, helping Dallas ...

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...

Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.

Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational efficiency including improving length of stay and staffing efficiency.

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...