Tag: Machine learning

Researchers developed optimized hybrid XGBoost models that accurately predict blast-induced flyrock distances at Iran's Sungun Copper Mine while identifying powder ...

Researchers in Croatia show that threshold-calibrated machine learning models built on routine clinical and laboratory data can identify a small ...

Researchers have developed a hybrid AI method that combines artificial potential field guidance with an LSTM-enhanced Soft Actor–Critic algorithm to ...

Researchers have unveiled a hybrid AI framework that combines logical rule-learning with large language models to generate drug candidate molecules ...

A new study introduces auditable update-utility certificates that verifiably measure the value of each client's contribution in personalized federated learning ...

A double-blind clinical trial found that metabolites from folate-dependent one-carbon metabolism and the transsulfuration pathway, analyzed with machine learning, predicted ...

Researchers have developed TRACE, a self-supervised framework that teaches video AI models to reason about interventions and counterfactuals rather than ...

University of South Carolina researcher Fanghui Shi has received a five-year, $2.2 million NIH Director's New Innovator Award to use ...

A new study shows that embeddings from a pretrained chemical language model nearly match classical QSAR methods in predicting which ...

A self-supervised language model called NucleicBERT offers researchers a new computational lens on the vast and poorly charted space of ...