Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Find out how machine learning analyses WhatsApp voice messages to identify depression and what this could mean for future ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Impulse AI is building an autonomous machine learning engineer that turns data into production models from a simple prompt.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...