Tag: Machine learning

Researchers in Vietnam show that multimodal intrusion detection systems hardened with adversarial training can resist transferable adversarial examples generated by ...

Researchers have unveiled a Trustworthy AI pipeline that embeds privacy, fairness, security, robustness, safety, and explainability across the entire development ...

Researchers have built a unified physics-informed AI framework that couples fracture mechanics with explainable machine learning to predict corrosion-fatigue life, ...

A new systematic review and meta-analysis finds AI classifiers achieve high specificity for immature white blood cell subtypes in acute ...

Researchers in Japan have developed a GPU-accelerated path-tracing simulator that generates realistic event camera data up to three times faster ...

A seven-year prospective cohort study of 2,780 Chinese adults finds that self-perceived loneliness independently predicts depression more strongly than social ...

Researchers combined LightGBM, Random Forest, and XGBoost models with docking and molecular dynamics simulations to identify three novel serotonin transporter ...

Researchers at Hefei University have developed AMCF, a multimodal AI model that combines bidirectional text-image attention with dual-branch gated fusion ...

A leakage-free benchmark of ten chronic-disease cohorts finds that no outlier-removal method beats doing nothing, while data-cleaning steps silently delete ...

A new audit protocol reveals that machine learning models trained on cheap proxy labels for cryptocurrency risk can excel at ...