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 ...

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 ...

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

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

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 ...