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

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

The calculation and/or the measurement of the thermal conductivity of materials is a fundamental challenge in materials science, essential for developing technologies in energy management, electronics ...

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research. Computational pathology to predict docetaxel benefit in ...

Deep learning analysis of FDG PET-CT improves survival prediction in non-metastatic breast cancer, outperforming standard staging and single modality models while supporting interpretable and ...