A physics-constrained AI model called VLSet-AE automates feature extraction from DRIE cross-sections with 96 percent accuracy ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Abstract: High-fidelity synthetic tabular data generation is crucial, given that downstream tasks and data analysis typically require large amounts of tabular data. However, existing methods struggle ...

The energy sector exhibits a strong inverse correlation to broader markets, making it a compelling portfolio hedge during oil ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...

Inflation expectations derived from financial markets exhibited unprecedented dynamics in 2025: the correlation between one-year inflation swaps and one-year-ahead one-year forward rates turned ...