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

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

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

AccuWeather’s new study released today has been compiled based on official government weather stations in 44 regions of the ...

You probably use science words every day without thinking twice about them. Someone might tell you they have a theory about ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Ripples spreading across a calm lake after raindrops fall—and the way ripples from different drops overlap and travel outward ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

Background Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality with limited therapeutic options. Despite ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objective Anxiety affects up to one-third of adults with asthma and is linked to poorer disease outcomes and reduced quality ...