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- JnGPxZ9glVk type video assertion.
- JnGPxZ9glVk type Resource assertion.
- JnGPxZ9glVk type MediaObject assertion.
- JnGPxZ9glVk description "Climate change is arguably the greatest threat facing humanity today. Accurately predicting climate change is critical to plan for its disastrous impacts well in advance and to adapt to sea level rise, ecosystem shifts, and food and water security needs. The Fourier Neural Operator (FNO) -- a novel AI model -- learns complex physical systems accurately and efficiently. Here we see the FNO emulate a high-resolution Earth dataset, ERA5, and predict the behavior of extreme weather events across the globe days in advance in just 0.25 seconds on NVIDIA GPUs. At 100,000 times faster than traditional numerical weather models, this is a significant step towards building digital twin Earth. #GTC21" assertion.
- JnGPxZ9glVk dateCreated "2022-03-22 16:40:30.346743+00:00" assertion.
- JnGPxZ9glVk name "Youtube video (NVIDIA) Physics-ML Predicts Extreme Weather Globally in 0.25 Seconds" assertion.
- JnGPxZ9glVk contentUrl "https://youtu.be/JnGPxZ9glVk" assertion.
- JnGPxZ9glVk creator 0000-0002-1784-2920 assertion.
- JnGPxZ9glVk dateModified "2022-03-22 16:45:59.025717+00:00" assertion.
- JnGPxZ9glVk license no-permission assertion.
- JnGPxZ9glVk sdDatePublished "2022-03-22 16:40:30.346743+00:00" assertion.
- JnGPxZ9glVk author 0000-0002-1784-2920 assertion.