Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

A team of researchers from Peking University, Beijing Institute of Technology, and the Chinese Academy of Sciences has developed a new optical device ...

A senior software engineer at Google took 40 Coursera courses and got multiple grad degrees to shift from business to AI.

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...