Our review found the diagnostic performance of deep learning models to be equivalent to that of health-care professionals. However, a major finding of the review is that few studies presented ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...

Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

Recently, deep learning based classification method is popularly used for brain tumor detection from 2D Magnetic Resonance (MR) images. In this article, several transfer learning based deep learning ...

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

This paper primarily focuses on comparative analysis among traditional learning and deep learning approaches. Considering comparative analysis following parameters have been taken under consideration ...