While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

People across a large section of the central and eastern United States are facing predictions of heavy snow and ice starting ...

AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...

Even as they’re pushing the boundaries of research and discovery with AI, UC scientists are asking the right questions about ...

Artificial intelligence is becoming a useful tool across a wide array of sectors. Therefore, it is little surprise that AI ...

We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...

Moreover, research shows that increasing accuracy of weather forecasts can result in thousands of lives saved per year. One ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI ...

For its 29th edition, Operation Sierra Storm (OSS) is holding their leading National Meteorologist Conference from January 11 ...

Artificial intelligence is quietly transforming how scientists monitor and manage invisible biological pollutants in rivers, ...

The problem comes down to how these tools learn. New study reveals unexpected results after using AI tools to predict extreme ...

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