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Predicting weather with AI models can be a challenge with so many variables impacting the model at various points. 🌦️ The latest paper in AI weather models from #NVIDIAResearch shares a new methodology to improve weather forecasting ➡️ https://nvda.ws/3Yo23Sm Key findings 👇 • Deterministic leaderboards ≠ real-world readiness (probabilistic skill matters more) • An easier and hyper-parameter free way to test ensembles of AI weather forecasts • Training methods need rethink to preserve uncertain
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FacebookNVIDIA AI
Tutorial about Weather Monitoring and Prediction using Remote Sensing with AI Tutorial Link: https://youtube.com/live/mAgmx8cGW4U?feature=share 📢 Registration is now open for the 35th Batch of 7-day comprehensive online live training on Google Earth Engine (GEE) for Remote Sensing and GIS Analysis using JavaScript and Python APIs, tailored for beginners to advanced learners. Designed specifically for non-coders, this course empowers you with advanced geospatial skills—no prior programming knowl
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FacebookStudyHacks-Institute of GIS and Remote Sensing
🤖 Machine learning and data-driven methods are unlocking new opportunities for weather forecasting and research. Here’s how: ⏩ Accelerated research: Experiments run faster than with traditional models 🖥️ Explore more data: Tap into vast, existing and unexplored datasets to enhance weather forecasting 🤝 Cross-sector collaboration: Technology bridges meteorological services, academia, and the private sector #ScienceForAction | World Meteorological Organization
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