Intellectual Property India Publishes Patent Application for 'Knowledge-Augmented Feature Adapter For Vision-Language Model Neural Networks' Filed by Google Llc

MUMBAI, India, Nov. 21 -- Intellectual Property India has published a patent application (202517098700 A) filed by Google Llc, Mountain View, U.S.A., on Oct. 13, for 'knowledge-augmented feature adapter for vision-language model neural networks.'

Inventor(s) include Akula, Arjun Reddy; Narayana, Pradyumna; Pruthi, Garima; Basu, Sugato; and Jampani, Varun.

The application for the patent was published on Nov. 21, under issue no. 47/2025.

According to the abstract released by the Intellectual Property India: "Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing a multi-modal machine learning task on a network input that includes text and an image to generate a network output. One of the systems includes a vision-language model (VLM) neural network. The VLM neural network includes a VLM backbone neural network and an attention-based feature adapter. The VLM neural network has access to an external dataset that stores multiple text items."

The patent application was internationally filed on May 26, 2023, under International application No.PCT/US2023/023711.

Disclaimer: Curated by HT Syndication.