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公开(公告)号:US20240036527A1
公开(公告)日:2024-02-01
申请号:US18360377
申请日:2023-07-27
Inventor: Hyunju SEO , U KANG , Sanghee KIM , Inchul HWANG , Jongjin KIM , Hoyoung YOON , Jaeri LEE , Hyunsik JEON
IPC: G05B13/02
CPC classification number: G05B13/0205
Abstract: An electronic device is provided. The electronic device includes an interface, a memory, and a processor and configured to provide a control recommendation of an external electronic device using a learning model. The learning model is configured to generate a first output vector by encoding sequential control information about a user using a transformer and summarizing the encoded sequential control information using a query vector, and output a second output vector by encoding the first output vector using a transformer and summarizing the encoded first output vector using time information.
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公开(公告)号:US20210037067A1
公开(公告)日:2021-02-04
申请号:US16942251
申请日:2020-07-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hojung LEE , Hyeonmok KO , Hyungrai OH , Inchul HWANG
Abstract: A system and method for registering a new device for a voice assistant service. The method, performed by a server, of registering a new device for a voice assistant service includes: comparing functions of a pre-registered device with functions of the new device; identifying functions corresponding to the functions of the pre-registered device among the functions of the new device, based on the comparison; obtaining pre-registered utterance data related to at least some of the identified functions; generating action data for the new device based on the identified functions and the pre-registered utterance data.
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3.
公开(公告)号:US20190228294A1
公开(公告)日:2019-07-25
申请号:US16254925
申请日:2019-01-23
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Inchul HWANG
Abstract: The disclosure relates to an artificial intelligence (AI) system for performing functions, such as recognition, determination, and the like, of a human being using a neural network model such as deep learning, and an application thereof.A method, performed by a first electronic device, of processing a neural network model is provided. The method includes: acquiring an input value of the neural network model; processing at least one node included in a first group in the neural network model based on the input value; acquiring at least one value output from the first group by processing the at least one node included in the first group; identifying a second electronic device by which at least one node included in a second group in the neural network model is to be processed; and transmitting the at least one value output from the first group to the identified second electronic device.
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公开(公告)号:US20210027790A1
公开(公告)日:2021-01-28
申请号:US16967910
申请日:2019-01-02
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hyungtak CHOI , Hyeonmok KO , Jihie KIM , Hongchul KIM , Inchul HWANG
Abstract: Disclosed is an electronic device. The electronic device comprises: a microphone comprising circuitry; a speaker comprising circuitry; and a processor electrically connected to the microphone and speaker, wherein the processor, when a first user's voice is input through the microphone, identifies a user who uttered the first user's voice and provides a first response sound, which is obtained by inputting the first user's voice to an artificial intelligence model learned through an artificial intelligence algorithm, through the speaker, and when a second user's voice is input through the microphone, identifies a user who uttered the second user's voice, and if the user who uttered the first user's voice is the same as the user who uttered the second user's voice, provides a second response sound, which is obtained by inputting the second user's voice and utterance history information to the artificial intelligence model, through the speaker. In particular, at least some of the methods of providing a response sound to a user's voice may use an artificial intelligence model learned in accordance with at least one of a machine learning, neural network, or deep learning algorithm.
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5.
公开(公告)号:US20200043476A1
公开(公告)日:2020-02-06
申请号:US16485061
申请日:2018-01-08
Applicant: Samsung Electronics Co., Ltd.
Inventor: Inchul HWANG
IPC: G10L15/16 , G10L15/22 , G10L15/26 , G06F17/20 , H04N21/422 , H04N21/4788
Abstract: The disclosure relates to an artificial intelligence (AI) system utilizing a machine learning algorithm such as deep learning, and applications thereof. In particular, a method for controlling an electronic device of the disclosure includes the steps of: receiving a user's voice; acquiring text data from the user's voice; determining a goal component and a parameter component from the acquired text data; determining, on the basis of the goal component and the parameter component, a task corresponding to the user's voice; if it is determined that the determined task is not executable, determining an alternative task to replace the task that was determined on the basis of at least one of the goal component and the parameter component; and providing a message for guiding the alternative task.
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公开(公告)号:US20240356924A1
公开(公告)日:2024-10-24
申请号:US18758607
申请日:2024-06-28
Applicant: Samsung Electronics Co., Ltd.
Inventor: Donghyun CHO , Yongje LEE , Yungyu GIM , Eunsang JANG , Seungjoo NA , Rakyoung YOON , Inchul HWANG
IPC: H04L9/40
CPC classification number: H04L63/10 , H04L63/062
Abstract: An apparatus and a method for operating a security device in an electronic device are provided. The electronic device includes an application processor, a communication processor, a security subsystem configured to process a security function, an authority assignment device configured to assign authority to access the security subsystem to the application processor or the communication processor, and a processor key management device configured to provide the security subsystem with a first key related to the application processor or a second key related to the communication processor assigned the authority to access the security subsystem from the authority assignment device, wherein the security subsystem is configured to process a security function related to the application processor or the communication processor by using the first key or the second key provided from the processor key management device, based on the authority assignment device assigning the authority to access the security subsystem to the application processor or the communication processor, and initialize data related to the application processor or the communication processor, based on returning the authority to access the security subsystem assigned to the application processor or the communication processor.
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公开(公告)号:US20230305801A1
公开(公告)日:2023-09-28
申请号:US18328421
申请日:2023-06-02
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hyungtak CHOI , Hyeonmok KO , Jihie KIM , Hongchul KIM , Inchul HWANG
CPC classification number: G06F3/167 , G10L17/18 , G10L17/22 , G06F3/011 , G06F3/005 , G06F3/00 , G06F3/01 , G06F3/16 , G06V40/171 , G06F18/00
Abstract: Disclosed is an electronic device. The electronic device comprises: a microphone comprising circuitry; a speaker comprising circuitry; and a processor electrically connected to the microphone and speaker, wherein the processor, when a first user's voice is input through the microphone, identifies a user who uttered the first user's voice and provides a first response sound, which is obtained by inputting the first user's voice to an artificial intelligence model learned through an artificial intelligence algorithm, through the speaker, and when a second user's voice is input through the microphone, identifies a user who uttered the second user's voice, and if the user who uttered the first user's voice is the same as the user who uttered the second user's voice, provides a second response sound, which is obtained by inputting the second user's voice and utterance history information to the artificial intelligence model, through the speaker. In particular, at least some of the methods of providing a response sound to a user's voice may use an artificial intelligence model learned in accordance with at least one of a machine learning, neural network, or deep learning algorithm.
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公开(公告)号:US20210049328A1
公开(公告)日:2021-02-18
申请号:US16966249
申请日:2019-01-28
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hyungtak CHOI , Heesik JEON , Jihie KIM , Haehun YANG , Inchul HWANG , Seungsoo KANG , Hyunwoo PARK , Daye LEE
Abstract: Provided in the present disclosure are an electronic device and a natural language generation method thereof. The natural language generation method of the electronic device comprises: obtaining input data with information on a plurality of slots included for generating a response; obtaining a natural language corresponding to the input data by inputting the information on the plurality of slots to one of artificial intelligence models trained for obtaining a natural language generation template and a natural language; and outputting the obtained natural language. In particular, at least a part of a method for obtaining a natural language in order to provide a response can use an artificial intelligence model having learned according at least one of machine learning, a neural network, or a deep-learning algorithm
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公开(公告)号:US20200349938A1
公开(公告)日:2020-11-05
申请号:US16758570
申请日:2019-09-25
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Inchul HWANG , Hyeonmok KO , Munjo KIM , Hyungtak CHOI
Abstract: Provided are a method and device for providing an event-emotion-based interactive interface by using an artificial intelligence (AI) system. The method includes identifying an emotional state of a user for at least one event by analyzing a response to a query, learning emotion information of the user for the at least one event, based on the emotional state of the user, determining an interaction type for the at least one event, based on the emotion information of the user, and providing notification information for the at least one event, based on the interaction type.
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公开(公告)号:US20200057758A1
公开(公告)日:2020-02-20
申请号:US16545388
申请日:2019-08-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyungtak CHOI , Seungsoo KANG , Sunhwa KO , Jihie KIM , Hyunwoo PARK , Haehun YANG , Daye LEE , Siddarth K M , Inchul HWANG
Abstract: A server and a control method thereof are disclosed. The control method of a server includes receiving knowledge information from a first electronic device, storing the received knowledge information in a personal knowledge database corresponding to a user using the first electronic device, transmitting a response to an inquiry to obtain the knowledge information to at least one second electronic device based on the knowledge information stored in the personal knowledge database, based on the inquiry being received from the at least one second electronic device, receiving feedback information to the response from the at least one second electronic device, and storing the knowledge information in a global knowledge database based on the feedback information. At least a part of a method of allowing a server to provide a response to a user inquiry may use an artificial intelligence model learned according to at least one of machine learning, neural networks, or deep learning algorithms.
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