Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

If insight arrives after the opportunity to act has passed, it is no longer predictive.The challenge is building systems that ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...