Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

At the heart of this transformation is the Large Language Model (LLM), an advanced AI system that learns from vast amounts of ...

"AI-based models are revolutionizing weather forecasting and have surpassed leading numerical weather prediction systems on ...

The intersection of epidemiology, climate change, and animal production has become a critical area of research as global climate change continues to reshape ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...