Davis joined ABC News in 2017 as a New York-based correspondent for ABC NewsOne, the network’s affiliate news service. Prior, Davis was the anchor of the weekend evening newscasts at WTHR-TV in ...

The story so far: On December 4, Google DeepMind unveiled GenCast, an artificial intelligence (AI) model the company said could forecast the weather better than most existing tools as well as more ...

GenCast, an AI agent by Google DeepMind, beats ECMWF’s ENS model in 99.8% of long-lead-time forecasts, revolutionizing weather prediction.

Google's DeepMind created GenCast, a revolutionary weather prediction model using probabilistic ensemble forecasting, trained on 40 years of data, providing rapid, accurate 15-day forecasts in 8 ...

Because GenCast doesn’t need to use nearly as much computing power as the current math-based weather models, the AI model can run a simulation in a fraction of the time.

1. Google GenCast Google trained Gencast, its AI weather model, by analyzing 40 years of historical weather data to better predict whether you can still have your wedding outside.

However, it should be noted that GenCast was tested against the 2019 version of the ENS. In the past five years, the ENS has undergone major improvements, including doubling its resolution.

GenCast is a critical advancement in modeling, but like any other weather forecast model, it isn’t perfect. AI models introduce a new potential issue since they predict the future based on what ...

Researchers trained GenCast on 40 years of weather data up to 2018. They then used the trained model to predict more than 1,300 combinations of conditions like temperatures, precipitation and wind ...