公开(公告)号：US20250156762A1

公开(公告)日：2025-05-15

申请号：US18944744

申请日：2024-11-12

Applicant: SRI International

Inventor： Aswin NADAMUNI RAGHAVAN ,  David Chao ZHANG ,  Saurabh FARKYA ,  Zachary Alan DANIELS ,  Michael PIACENTINO ,  Gooitzen S. VAN DER WAL ,  Philip MILLER ,  Michael Richard LOMNITZ ,  Abrar Abdullah RAHMAN ,  Edison MUCLLARI ,  Muhammad Shahir RAHMAN

IPC: G06N20/00

Abstract: A method, apparatus, and system for efficient machine learning with query-based knowledge assistance includes determining a state of data captured by a sensor in communication with a first edge device to determine if the captured data includes data that is out of distribution based on a trained inference model of the first edge device, if it is identified that an amount of out of distribution data in the captured data is preventing the trained inference model from making an accurate prediction, communicating a request for resources to a second edge device or a server to elicit a response from the second edge device or the server including resources required to update the trained inference model, receiving the requested resources, updating the trained inference model using the received resources, and making a prediction for the received captured data using the updated, trained inference model.