Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.
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 ...
Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...
AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...
Abstract: Although interpretable deep learning achieved significant progress in recent years, their data-driven nature often leads to interpretation results that are inconsistent with established ...
Introduction: Translating human genetic findings, such as genome-wide association studies (GWAS) to pathobiology and the discovery of therapeutic target remains a challenge for Atrial Fibrillation (AF ...
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 ...
There's something interesting happening with the celebrities we've known, loved, and followed for decades: They don't seem to be aging like the rest of us. Lindsay Lohan, at the height of her ...
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, ...
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