The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

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 deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

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