Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...

Stanford researchers say a single night in a sleep lab may soon double as a full‑body health scan, with artificial ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

AI’s predictive power is transformative, but its lack of explainability, contextual understanding, and causal reasoning ...

Ecuador: A newly developed AI model shows promise in improving the safety of liposuction by accurately predicting patient ...

Founded in 2025, DoppelIQ builds AI-powered digital consumers for B2C brands, achieving 80–95% accuracy in predicting ...