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

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

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

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

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

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

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, ...

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 ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...