DS, a self-supervised learning framework that enhances hyperspectral imaging for food adulteration detection in imbalanced ...

According to a study published in Nature Communications, researchers at the National Institutes of Health (NIH) created an ...

Researchers at Karolinska Institutet have examined the ability of various AI models to predict the prognosis of ...

The integration of machine learning into the GEOS-Chem model enhances aerosol simulations, providing critical insights for ...

In a study published in the KeAi journal Intelligent Surgery, Chinese researchers performed a remote robot-assisted ...

A study published in Nature by researchers from UC San Francisco and the University of Michigan found that an AI-powered ...

Affective computing, which aims to understand and replicate human emotions, has made notable progress with the help of deep ...

This innovative AI tool enhances long COVID diagnosis by using precision phenotyping, offering a clearer understanding of the ...

Researchers at Carnegie Mellon University's Human-Computer Interaction Institute recently published a study introducing ...

The PNN and EPM-based diagnostic method improves turbofan engine fault detection, achieving over 90% accuracy and ensuring ...

Researchers demonstrate AI-enhanced MRI's potential in diagnosing endometrial cancer, achieving superior accuracy and ...

According to a study published in the IEEE Internet of Things Journal and co-authored by scientists from the University of ...