Researchers have built AMIFound, a single foundation model trained on 3.76 million image pairs that restores and enhances medical images...

A new deep learning architecture called Hessian Interatomic Potentials predicts the full molecular Hessian directly, delivering one to two orders...

A newly validated 38-item scale identifies four distinct dimensions of how gifted students adapt their learning strategies when working with...

A new framework called TAL-CGBR improves temporal action localization by feeding classification semantics into boundary regression, achieving 68.5 percent average...

Researchers have unveiled SENNA, a framework that combines disentangled semantic representations with large language models to generate synthetic tabular data...

Researchers show that temporally correlated input noise, not model capacity, drives unstable long-horizon forecasts, and introduce NoDE, a lightweight embedding...

A Mamba-CNN deep learning framework analyzing brain scans from 1,175 participants detects autism with 87.49% accuracy and reveals novel gray...

Researchers have enhanced a rime-ice-inspired optimization algorithm with four adaptive strategies, achieving superior benchmark results and 95.52 percent accuracy in...

Researchers have built an LLM-based conversational virtual patient with an automated evaluation engine that lets medical students practice clinical interviews...

Researchers have developed VoteChain, a voting-based blockchain consensus framework that embeds a lightweight CNN-LSTM anomaly detector to cut energy use...