Samsung Electronics Co., Ltd.

Jihie Kim

Inchul Hwang

Hyungtak Choi

Hyeonmok Ko

Hongchul Kim

Seungsoo Kang

Haehun Yang

Daye Lee

Hyunwoo Park

Heesik Jeon

Siddarth K M

Sunhwa Ko

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.

Electronic device and control method thereof

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

Electronic device and natural language generation method thereof

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.

Server and control method thereof

Growing community of inventors

Suwon-si, South Korea

Jihie Kim