Intellectual Property India Publishes Patent Application for 'Weather Forecasting With Graph Neural Networks Using Multi-Mesh Representations' Filed by Deepmind Technologies Limited

MUMBAI, India, July 5 -- Intellectual Property India has published a patent application (202517060307 A) filed by Deepmind Technologies Limited, London, on June 24, for 'weather forecasting with graph neural networks using multi-mesh representations.'

Inventor(s) include Wirnsberger, Peter; Lam, Remi Roger Alain Paul; Willson, Matthew James; Pritzel, Alexander; Sanchez, Alvaro; Fortunato, Meire; and Battaglia, Peter William.

The application for the patent was published on July 4, under issue no. 27/2025.

According to the abstract released by the Intellectual Property India: "Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting weather using graph neural networks. One of the methods includes obtaining current weather data for a current time step; generating, using the current weather data, current graph data representing a current state of a graph of the surface; and processing the current graph data using a graph neural network to generate a first prediction output that defines first future weather data."

The patent application was internationally filed on Dec. 22, 2023, under International application No.PCT/EP2023/087641.

Disclaimer: Curated by HT Syndication.