公开(公告)号：US20200327433A1

公开(公告)日：2020-10-15

申请号：US16846825

申请日：2020-04-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： James Russell GERACI ,  Bichen SHI ,  Aonghus LAWLOR ,  Barry SMYTH ,  Neil HURLEY ,  Ruihai DONG

IPC: G06N5/04 ,  G06N20/00

Abstract: Provided are an artificial intelligence (AI) system simulating a function of a human brain, such as cognition and judgment, using a machine learning algorithm, such as deep learning, and an application thereof. Also, provided is a method, performed by an electronic apparatus, of refining an artificial intelligence (AI) model, the method including: detecting information about a context of an electronic apparatus used to refine a local model stored in the electronic apparatus being changed; determining a gradient for refining the local model based on the changed information about the context; refining the local model based on the determined gradient; transmitting the gradient to a server; receiving, from the server, information about a global model refined based on the gradient; and refining the local model based on the received information.

公开(公告)号：US20230259703A1

公开(公告)日：2023-08-17

申请号：US17296821

申请日：2021-05-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： James Russell GERACI ,  Francisco PENA ,  Aonghus LAWLOR ,  Barry SMYTH ,  Ilias TRAGOS ,  Neil HURLEY

IPC: G06F40/216 ,  G06F40/284

CPC classification number: G06F40/216 ,  G06F40/284

Abstract: An electronic device and a controlling method thereof are provided. The electronic device includes a memory and a processor configured to obtain importance data representing an importance of each of a plurality of words included in the text data using text data related to a plurality of items written by a plurality of users, obtain a topic model representing a relationship between a topic and a word by applying a topic modelling algorithm to the obtained importance data, obtain preference data representing preference of each of the plurality of users for the topic and relationship data representing a relationship between the plurality of items and the topic, based on the obtained topic model, and train a recommendation model to output result data including an estimated preference for the plurality of items of the plurality of users, based on the preference data and the relationship data.

公开(公告)号：US20200327451A1

公开(公告)日：2020-10-15

申请号：US16898890

申请日：2020-06-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： James Russell GERACI ,  Bichen SHI ,  Aonghus LAWLOR ,  Barry SMYTH ,  Neil HURLEY ,  Ruihai DONG

IPC: G06N20/00 ,  G06F17/18 ,  G06N5/04

Abstract: Provided are an artificial intelligence (AI) system simulating a function of a human brain, such as cognition and judgment, using a machine learning algorithm, such as deep learning, and an application thereof. Also, provided is a method, performed by an electronic apparatus, of refining an artificial intelligence (AI) model, the method including: detecting information about a context of an electronic apparatus used to refine a local model stored in the electronic apparatus being changed; determining a gradient for refining the local model based on the changed information about the context; refining the local model based on the determined gradient; transmitting the gradient to a server; receiving, from the server, information about a global model refined based on the gradient; and refining the local model based on the received information.