Samsung Electronics Co., Ltd.

Jiyeon Hong

Jaewon Lee

Hyeonmok Ko

Sungja Choi

Changho Paeon

Eunji Lee

Kyenghun Lee

Saebom Jang

Pureum Jung

Hojung Lee

Seungchul Lee

Seonghan Ryu

Donghyeon Lee

Seohyun Back

Cheolseung Jung

Yubin Seo

Inchul Hwang

Jongyoub Ryu

Yongjin Cho

Doohwa Hong

Haejun Lee

Sathish Indurthi

Jonggu Kim

Dayoung Kwon

Seoha Song

Wonho Ryu

Sechun Kang

Yonghyun Ryu

Sai Chetan

Eunkyoung Kim

A method of improving output content through iterative generation is provided. The method includes receiving a natural language input, obtaining user intention information based on the natural language input by using a natural language understanding (NLU) model, setting a target area in base content based on a first user input, determining input content based on the user intention information or a second user input, generating output content related to the base content based on the input content, the target area, and the user intention information by using a neural network (NN) model, generating a caption for the output content by using an image captioning model, calculating similarity between text of the natural language input and the generated output content, and iterating generation of the output content based on the similarity.

Device, method, and program for enhancing output content through iterative generation

A method, performed by a hub device, of storing a voice assistant model for controlling a device includes receiving information about a first device connected to the hub device, requesting a voice assistant server to update a device determination model stored in the hub device; receiving the updated device determination model from the voice assistant server and storing the received updated device determination model; requesting, from the voice assistant server, information about a function determination model corresponding to the first device; receiving the information about the function determination model corresponding to the first device from the voice assistant server, and determining whether to store the function determination model in the hub device based on the received information; and based on the function determination model being determined to be stored in the hub device, storing, in the hub device, the function determination model corresponding to the first device.

Hub device, multi-device system including the hub device and plurality of devices, and operating method of the hub device and multi-device system

Disclosed is an electronic device. The electronic device may execute an application for transmitting and receiving at least one of text data or voice data with another electronic device using the communication module, in response to occurrence of at least one event, based on receiving at least one of text data or voice data from the another electronic device, identify that a confirmation is necessary using the digital assistant based on at least one of text data or voice data being generated based on a characteristic of ab utterance using a digital assistant, generate a notification to request confirmation using the digital assistant based on confirmation being necessary, and output the notification using the application. A method for identifying that a confirmation is necessary may include identifying using voice data or text data that is received from another electronic device using a rule-based or AI algorithm. When a confirmation is necessary is identified using the AI algorithm, the method may use machine learning, neural network, or a deep learning algorithm.

Electronic device and method of controlling thereof

Disclosed is an electronic apparatus. The electronic apparatus includes: a communication interface, a memory, and a processor connected to the memory and the communication interface, the processor configured to control the electronic apparatus to, based on receiving a speech related to a function of the electronic apparatus, obtain text information corresponding to the received speech, control the communication interface to transmit the obtained text information to a server including a first neural network model corresponding to the function, execute the function based on response information received from the server, and based on identifying that an update period of the first neural network model is greater than or equal to a first threshold period based on the information related to the function of the electronic apparatus, the electronic apparatus may receive the information about the first neural network model from the server and store the information in the memory.

Electronic apparatus, system comprising electronic apparatus and server and controlling method thereof

An electronic apparatus includes a communication interface; a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: receive a text corresponding to a user utterance and information regarding a first external device; obtain a plurality of weights of a plurality of elements related to the first external device; identify a second external device for obtaining response information; control the communication interface to transmit the text corresponding to the user utterance to the second external device; receive first response information regarding the user utterance from the second external device; obtain second response information; and control the communication interface to transmit the second response information to the first external device.

Electronic apparatus and controlling method thereof

An electronic apparatus is provided. The electronic apparatus includes: a memory configured to store at least one instruction; and a processor configured to execute the at least one instruction to: obtain usage information on an application installed in the electronic apparatus, obtain a natural language understanding model, among a plurality of natural language understanding models, corresponding to the application based on the usage information, perform natural language understanding of a user voice input related to the application based on the natural language understanding model corresponding to the application, and perform an operation of the application based on the preformed natural language understanding.

Electronic apparatus and control method thereof

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Suwon-si, South Korea

Jiyeon Hong