Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

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

When engineers and planners design roads, bridges and dams, they rely on hydrological models intended to protect ...

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

Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...

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