Deepmind launches AI tool that can predict the weather in advance! Here's how it works
DeepMind's GraphCast reshapes weather predictions, combining deep learning and historical data for precise forecasts. With enhanced cyclone tracking and 10-day accuracy, it signifies a leap forward in AI weather forecasting.
artificial intelligence
Highlights
- DeepMind's AI, GraphCast, leads with 10-day accuracy in weather predictions
- GraphCast excels in cyclone tracking, flood risk identification, and extreme temperature predictions
- Blending deep learning with traditional methods, GraphCast promises enhanced reliability in weather forecasts
Google-owned DeepMind claims a significant breakthrough with its latest AI model, GraphCast. This AI model can provide accurate and fast weather predictions, boasting improvements in early storm warnings and up to 10-day forecasts.
DeepMind's AI model, GraphCast, sets a new standard in weather prediction. Unlike traditional methods, it leverages deep learning, offering faster and more precise forecasts.
The company asserts GraphCast's capability to predict weather conditions up to 10 days in advance, surpassing industry standards in both accuracy and speed.
Presenting GraphCast: our state-of-the-art AI model delivering 10-day weather forecasts with unprecedented accuracy in under one minute. 🌦️
— Google DeepMind (@GoogleDeepMind) November 14, 2023
It can even help predict the potential paths of cyclones further into the future.
Here's how it works. 🧵 https://t.co/ygughpkdeP pic.twitter.com/0Y6DyBXDow
Enhanced cyclone tracking & risk prediction
GraphCast accurately tracks cyclones, identifies flood risks, and predicts extreme temperatures. The AI model is positioned to benefit various industries, including renewable energy and event planning, by providing valuable insights for better decision-making.
Combining old and new
DeepMind's GraphCast integrates deep learning with traditional weather prediction methods. Trained on decades of historical weather data, it combines elements of Numerical Weather Prediction (NWP) with machine learning.
DeepMind emphasises that its approach is not intended as a replacement for traditional methods but as a complementary enhancement, opening opportunities for improved forecasting in real-world contexts.
AI setting a milestone
DeepMind's GraphCast marks a milestone in AI weather prediction, offering superior accuracy and speed. Integrating deep learning with traditional methods presents a promising future for more reliable and efficient weather forecasts. DeepMind aims to contribute to global advancements in weather prediction, benefiting industries and societies worldwide.
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