MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202647125946 A) filed by Qualcomm Incorporated on October 22, 2026, for Finetuning Neural Networks.
Inventors include Cho, Wonguk; Reisser, Matthias; Das, Debasmit; Choi, Seokeon; Yun, Sungrack; and Porikli, Fatih Murat.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: Systems and techniques are described herein for training and using a machine-learning model (e.g., a neural network). For example, a computing device can: process, using a first trained neural network, data specific to a user to obtain intermediate activation data representing the data, the first trained neural network comprising a plurality of neural network layers; process, using a second trained neural network, the intermediate activation data to generate an output representing the data, the second trained neural network comprising a subset of neural network layers from the plurality of neural network layers of the first trained neural network; determine a loss based on the output; and update parameters of the second trained neural network based on the loss.
Disclaimer: Curated by HT Syndication.
