Google DeepMind AI: Here’s how it can bring a revolution in weather forecasting

Google’s DeepMind AI has a brand new way to predict weather forecasts with the highest accuracy. Get ready to say goodbye to the regular way of weather forecasting.

All about weather forecasting

For us, checking the weather is as simple as opening our phones or asking Siri or Alexa. However, the science of weather forecasting is not that simple. Meteorologists across the world have been trying hard to come up with high-accuracy predictions. After all, it’s not just predicting when and where it will be sunny, raining, or cloudy. It also includes long-term predictions of the climate and affects policy and conservation greatly. Meteorologists predict the weather by casting, i.e., hourly. casting is harder as it is susceptible to several variable factors.

“Great work from our team DeepMind. Understanding and predicting weather has been a topic that has intrigued and challenged humanity. Great to see learning-based AI systems making progress in this important area,” tweeted Pushmeet Kohli, a research lead at the firm.

More on DeepMind AI

According to Google‘s DeepMind AI, using a machine learning AI makes the task easier. With the help of AI, researchers can predict rainfall location and the possibility for the next 90 minutes. The system developed by Google and UK’s meteorological office is an expert at predicting short-term weather changes. Moreover, DeepMind has immense experience with neural networks and investigating how proteins fold. “Our teams research and build safe AI systems. We’re committed to solving intelligence, to advance science and benefit humanity,” states DeepMind’s official website. 

Additionally, the new research published in Nature describes how the new prediction model DGMR or Deep Generative Model of Rainfall can predict changes within 90 minutes. “Sing a systematic evaluation by more than 50 expert meteorologists, we show that our generative model ranked first for its accuracy and usefulness in 89% of cases against two competitive methods.,” stated the researchers in the study. DGMR uses the computational capacity of the neural network and picks out the uncertainty in machine learning. Hence, DeepMind AI can give the most reliable and accurate weather predictions.