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 ...

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

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

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

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 ...

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 ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...