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 ...

DoorDash’s new tasks app pays couriers to capture real-world data for AI training, turning gig workers into key players in machine learning.

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

One of the most noticeable changes for the 2026 racing season is right in the name of NASCAR's second-tier series. After 11 seasons as the Xfinity Series, the circuit is now known as the O'Reilly Auto ...