Author/Source: Microsoft On the Issues See the full link here
Takeaway
This article discusses Aurora, a new project that uses artificial intelligence (AI) to improve predictions for weather and climate. It explains how this project is being made open for everyone to use and improve, helping us better understand future weather patterns.
Technical Subject Understandability
Intermediate
Analogy/Comparison
Using Aurora is like having a super-smart digital weatherman who can look at all the world’s weather information at once and give much more accurate predictions for the future.
Why It Matters
Better weather forecasts are important because they help communities prepare for extreme weather events like hurricanes, floods, and heatwaves, which can save lives and protect homes. This helps people make better decisions about everything from daily plans to long-term community safety.
Related Terms
Artificial intelligence (AI), machine learning models, foundation models. Jargon Conversion: Artificial intelligence (AI) refers to computer programs that can think and learn to perform tasks. Machine learning models are specific types of computer programs that learn from data to make predictions. Foundation models are very large AI models trained on a massive amount of data that can be used for many different tasks, like predicting weather.
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