Logistics is an industry where AI has huge potential to drive greener practices. That’s because of the sector’s complexity, ...

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

When Floridians talk about extreme weather, hurricanes dominate the conversation. Each season brings updates on storm tracks, ...

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

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Across California, researchers, farmers, technologists and universities are launching a bold vision for the future of farming ...

No-Code/Low-Code Platforms: These are the stars of the show. They let you build AI features using visual tools, not lines of ...

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

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

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