公开(公告)号：US20220197823A1

公开(公告)日：2022-06-23

申请号：US17557807

申请日：2021-12-21

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Chunglae CHO ,  Seungjae SHIN ,  Seung Hyun YOON ,  Hong Seok JEON

IPC: G06F12/128 ,  G06F12/0871 ,  H04L67/5682 ,  G06K9/62

Abstract: a method and an apparatus for managing a cache for storing content by determining popularity of the content based on content requests received during a current time slot for the content; transmitting information about the popularity of the content to a time-to-live (TTL) controller and receiving, from the TTL controller, TTL values for each popularity level determined by the TTL controller based on the information about the popularity; and managing the content based on the TTL values for each popularity level are provided.

公开(公告)号：US20250029004A1

公开(公告)日：2025-01-23

申请号：US18651555

申请日：2024-04-30

Applicant: Electronics and Telecommunications Research Institute

Inventor： Chang Sik LEE ,  Tae Yeon KIM ,  Taeheum NA ,  Seungjae SHIN

IPC: G06N20/00

Abstract: Proposed is a technology that supports updating a machine learning model in a terminal or base station of a mobile communication system. The method where a core network supports a machine learning (ML) model update may include receiving by a first network function in the core network a model update request from a user equipment (UE) or a radio access network (RAN), obtaining by the first network function information for the model update on the basis of the received model update request and a communication with a second network function, and transferring by the first network function to the UE or the RAN a model update response including the information for the model update.

公开(公告)号：US20240185101A1

公开(公告)日：2024-06-06

申请号：US18224762

申请日：2023-07-21

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Chang Sik LEE ,  HYEBIN PARK ,  Seungjae SHIN ,  Hong Seok JEON

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: An apparatus and method for split processing of a model are provided. The apparatus for the split processing of the model includes a memory including instructions and a processor electrically connected to the memory and configured to execute the instructions. When the instructions are executed by the processor, the processor may be configured to perform a plurality of operations. The plurality of operations may include obtaining information on a plurality of computing nodes that uses at least one layer among a plurality of layers of a model for an artificial intelligence (AI)-based service, obtaining a requirement for the AI-based service, and controlling split processing of the model based on the information and the requirement.