When Helene made landfall in Florida earlier this year, 234 people lost their lives to the worst hurricane to strike the US mainland since Katarina in 2005. It’s natural disasters like that, and their growing intensity due to climate change,

Google DeepMind has unveiled an AI model that’s better at predicting the weather than the current best systems. The new model, dubbed GenCast, is published in Nature today.

In a significant advance for improving weather forecast accuracy, Google DeepMind scientists have developed a weather model that largely beats the world's most accurate modeling system. Why it matters: The new model provides — for the first time — a machine learning-driven method of conducting ensemble-based forecasting,

Artificial-intelligence model provides forecasts 15 days out, as well as the probability of accuracy. And it does so faster than the best operational model.

The best weather forecast models of today are still only reliable within about a week to 10 days. With the exception of the newest offering from Google’s DeepMind AI division. GenCast has proven it can predict the weather up to 15 days out with reliable accuracy.

The latest weather forecasting AI model from Google DeepMind can beat the leading providers more than 97 per cent of the time, and it is quicker and cheaper to run