公开(公告)号：US11436661B2

公开(公告)日：2022-09-06

申请号：US16566267

申请日：2019-09-10

Applicant: Samsung Electronics Co., Ltd.

Inventor： James Russell Geraci ,  Neil Hurley ,  Ilias Tragos ,  Barry Smyth ,  Aonghus Lawlor

IPC: G06Q30/00 ,  G06Q30/06

Abstract: An electronic device is provided. The device includes a processor configured to receive, from a first external device, a list of a first number of items generated based on a request of a user, and a first score of each of the first number of items, identify a first relevancy between each element of a first feature set and each of the first number of items and a second relevancy between each element of the set and the user, identify a first list of a second number of items, identify, for at least one item of the first list, a third relevancy between a first feature of the set which satisfies a condition and the at least one item and a fourth relevancy between the first feature and the user, based on the first relevancy and the second relevancy, and output the third relevancy and the fourth relevancy with the first list.

公开(公告)号：US12061955B2

公开(公告)日：2024-08-13

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

CPC classification number: 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.

公开(公告)号：US11531912B2

公开(公告)日：2022-12-20

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: G06N20/00 ,  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.

公开(公告)号：US20250053846A1

公开(公告)日：2025-02-13

申请号：US18930763

申请日：2024-10-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Mehul Kumar ,  Aditya Sahdev ,  James Russell Geraci

IPC: G06N10/60 ,  G06N10/40

Abstract: An electronic apparatus, including: an input interface; and at least one processor configured to: receive bit-format input data using the input interface, convert input bits included in the input data to obtain input qubits, encode the input qubits to obtain encoded qubits, estimate quantum amplitude values of a predetermined number of the input qubits using a quantum neural network (QNN) based on the encoded qubits, determine a probability value corresponding to the data based on the estimated quantum amplitude values, and authenticate the input data by comparing the determined probability value with a predetermined authentication radius value

公开(公告)号：US10963738B2

公开(公告)日：2021-03-30

申请号：US16338579

申请日：2017-10-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： James Russell Geraci ,  Parichay Kapoor

IPC: G06K9/00 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06K9/46

Abstract: An electronic device is provided. The electronic device includes a memory storing parameter sets, each of which includes one weight and bias sets respectively corresponding to n (where, n>1) occlusion levels among a plurality of occlusion levels within a certain range and at least one processor configured to obtain output data by inputting input data to a neural network.