Tag: Machine learning

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 ...

Researchers warn in Nature Water that satellite Earth observation and artificial intelligence risk deepening global inequalities in hydrological data unless ...