Samsung Electronics Co., Ltd.

Ji-hwan Yun

Min-seo Kim

Jae-yun Jung

Won-ho Ryu

Won-jong Choi

Chang-hwan Choi

Man-un Jeong

Deok-ho Kim

Seung-hak Yu

Chang-Hwan Choi

An electronic apparatus includes an input unit comprising input circuitry configured to receive a natural language input, a communicator comprising communication circuitry configured to perform communication with a plurality of external chatting servers, and a processor configured to analyze a characteristic of the natural language and a characteristic of the user and to identify a chatting server corresponding to the natural language from among the plurality of chatting servers, and to control the communicator to transmit the natural language to the identified chatting server in order to receive a response with respect to the natural language.

Electronic apparatus, controlling method of thereof and non-transitory computer readable recording medium

An artificial intelligence (AI) system which utilizes machine learning algorithm such as deep learning and application is provided. The artificial intelligence (AI) system includes a controlling method of an electronic device for determining a chatbot using an artificial intelligence learning model includes receiving a voice uttered by a user, processing the voice and acquiring text information corresponding to the voice, and displaying the text information on a chat screen, determining a chatbot for providing a response message regarding the voice by inputting the acquired text information and chat history information regarding the chat screen to a model which is trained to determine the chatbot by inputting text information and chat history information, transmitting the acquired text information and the chat history information regarding the chat screen to a server for providing the determined chatbot, and receiving a response message from the server and displaying the response message on the chat screen.

Electronic device and method for changing chatbot

An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of a human brain by using a mechanical learning algorithm such as deep learning, or the like, and an application thereof are provided. A method of filtering video by a device is provided. The method includes selecting at least one previous frame preceding a current frame being played from among a plurality of frames included in the video, generating metadata regarding the selected at least one previous frame, predicting harmfulness of at least one next frame to be displayed on the device after playback of the current frame, based on the generated metadata, and filtering the next frame based on the predicted harmfulness.

Method and apparatus for filtering video

Provided are a diagnostic model generating apparatus and a diagnostic model generating method therefor. The diagnostic model generating method may comprising: extracting at least one keyword from consultation data between a user and a consultant for resolving electronic device errors; on the basis of the at least one extracted keyword, determining a diagnostic sequence between the plurality of diagnostic commands for resolving errors and a plurality of diagnostic commands; and storing a diagnostic model comprising the plurality of determined diagnostic commands and determined diagnostic sequence.

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Suwon-si, South Korea

Ji-hwan Yun