MUMBAI, India, April 20 -- Intellectual Property India has published a patent application (202517111255 A) filed by Google Llc, Mountain View, U.S.A., on Nov. 13, 2025, for 'training neural networks to predict action values based on non-user-specific feature data.'
Inventor(s) include Huang, Wei; Cao, Min; and Farahani, Rezsa.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network on a training dataset. In one example, the training dataset includes training inputs in a first domain that are generated from log data of user activities on a service platform collected during a signed-in mode for users signed into the service platform. The training dataset also includes training inputs in a second domain that are generated from log data of user activities on the service platform collected during a signed-out mode for users that are not signed into the service platform."
The patent application was internationally filed on Sept. 25, 2024, under International application No.PCT/US2024/048377.
Disclaimer: Curated by HT Syndication.
