Author/Source: Jon Porter See the full link here
Takeaway
This article explains how Google developed a new artificial intelligence model called Weather-2 that can predict weather faster and more accurately than traditional methods. You will learn how this AI-powered forecasting works and its potential benefits.
Technical Subject Understandability
Beginner
Analogy/Comparison
Imagine weather forecasting is like trying to guess what will happen in a complicated game. Traditional methods are like a very smart team of players carefully calculating every move. Google’s new AI is like a super-fast player who can see all the possibilities instantly and make a better guess in less time.
Why It Matters
Better and faster weather forecasts are very important because they help people prepare for dangerous weather. For example, more accurate predictions could give communities more time to get ready for severe storms or floods, which could save lives and reduce damage.
Related Terms
Machine learning, Numerical weather prediction. Jargon Conversion: Machine learning is a type of computer program that learns from lots of data to make predictions. Numerical weather prediction is the older way of forecasting weather using powerful computers to run very detailed physics equations.
Tech Teacher 
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