In the Age of AI, many health care providers dream of a digital assistant, unencumbered by fatigue, workload, burnout or ...

In recent years, scientists have found that machine learning–based weather models can make weather predictions more quickly ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Predicting local weather extremes remains one of the greatest hurdles in meteorology, which requires high-resolution, reliable humidity data.

Researchers developed a deep learning framework using SRGAN to enhance GNSS tomography, producing high-resolution, accurate ...