New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

LeTourneau University students are working to make lazy rivers more efficient through a scale model that takes up most of the school’s civil engineering lab.

The convergence of AI‑driven demand and widespread electrification is redefining what the grid must do and how it must operate.

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...