NeuralGCM is a method that combines traditional physics-based modeling with ML to accurately and efficiently simulate Earth's atmosphere. Learn how NeuralGCM marks a significant step towards developing more powerful and accessible climate models. →

Research Engineer Dmitrii Kochkov's work on weather & climate contributed to the development of a hybrid AI + differentiable solver approach for atmospheric modeling. Learn more about the groundbreaking work from Google Research's NeuralGCM team. 🌡⛈️→

I've got some real concerns about the impact #AI #AGI and #ASI will be disruptive in a ways few seem to imagine. But narrow-use AI is pretty awesome.

The results show that NeuralGCM produces accurate weather forecasts, with performance comparable to or better than the best physics-based and machine learning-based models. It also generates realistic ensemble forecasts and can simulate the climate system, including seasonal cycles and emergent phenomena like tropical cyclones, with high fidelity. full paper:

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I would like to find someone that can model effects of albedo on local climate..

AI is creating it's own physics and chemistry so cool

NeuralGCM sounds impressive! It’s great to see advancements that blend traditional and machine learning for better climate models.

I bought One Step Reader, expecting it to support Arabic, but it doesn't. I requested a refund from Google Play, but was denied and referred to the developer. The developer then sent me back to Google Play. How can I resolve this? Khaled Tarawneh [email protected]

Did you guys fix that Gemini atrocity yet? I mean, why should I take this seriously?