The proposed multitask learning (MTL) model was developed using data from wearable devices worn by individuals in a randomized controlled trial (RCT) to predict outcomes of a depression treatment.

Implementing a traditional machine learning model can be more cost-effective than developing a cutting-edge, customized LLM—particularly if an organization has already built the ML model.

A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying ...

A machine learning model using random forest algorithms outperforms neural networks and traditional regression in predicting tsunami early warnings for Tofino, B.C., but all models benefit from ...

AI-based models are indeed more compact. Once trained, typically on 40 years of historical weather data from ECMWF, a machine-learning model like Google’s GraphCast can run on less than 5,500 ...