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

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

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Detroit-based technology firm Riemann Computing has debuted OpenPeer AI, an open-source family of machine learning models ...

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

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

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

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 ...