Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

The AI models, developed under an initiative called Project Eagle, promise to deliver better forecasts using less ...

It's possible to build a simple Python CLI weather app in a weekend using geopy, requests, and the NWS JSON API. Use geopy's Nominatim to get latitude and longitude, then query NWS endpoints for ...

An expert in computational linguistics, Dan Loehr gave a talk at Bowdoin on how AI is and can be used to address climate change by mitigating emissions from carbon-intensive sectors, modeling climate ...

The National Oceanic and Atmospheric Administration (NOAA) is launching three new AI-driven global weather prediction models designed to significantly advance forecast speed, efficiency and accuracy.

Here's an interesting fact: companies that rely on data to make their decisions are more likely to achieve better results.

Machine learning, AI, automation and and prediction are rapidly evolving the digital landscape. Can digital twins be the ...

There are a lot of options for local weather stations; most of them, however, are sensors tied to a base station, often requiring an internet connection to access all features. [Vinnie] over at ...

A new S&P Global Energy report highlights how explosive AI demand is making the physical electricity grid the single biggest bottleneck to the digital economy, forcing massive changes in ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

Combining artificial intelligence with a conventional climate model can predict heatwaves faster than the standard model ...