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.

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

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

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 ...

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 ...

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

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 ...

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

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...