Samsung Electronics Co., Ltd.

Sanghee Kim

Suneung Park

Hyunju Seo

Jongwon Lee

Jaeyung Yeo

Kanghee Lee

Eunchul Kim

Kyeongwon Mun

Soojeong Eom

An electronic device according to various embodiments may comprise: a communication module comprising communication circuitry, a memory, and a processor operatively connected to the communication module and the memory, wherein the processor is configured to: execute an application supporting onboarding of the electronic device; obtain authentication information of the electronic device; transmit the authentication information to a cloud network through the communication module to register the authentication information of the electronic device; generate configuration information of the electronic device based on an input on the application; and transmit the generated configuration information and device information of the electronic device stored in the memory to the cloud network through the communication module to request onboarding of the electronic device.

IOT device and method for onboarding IOT device to server

An electronic device and an utterance processing method of the electronic device are provided. The electronic device includes a microphone that receives a first and a second utterance of a user, the second utterance being generated at a later point in time than the first utterance, a memory storing instructions, and at least one processor. The at least one processor may be configured to execute the instructions to extract a first domain corresponding to the first utterance and a first intent corresponding to the first utterance, determine a correlation between the first utterance and the second utterance, and determine whether to process the second utterance based on the correlation.

Electronic device and utterance processing method thereof

Disclosed is an electronic device. According to an embodiment, an electronic device may include: a user interface comprising interface circuitry, a processor, and a memory operatively connected to the processor. The memory may store instructions that, when executed, cause the processor to: receive an input through the user interface, analyze a domain association for at least one or more domains included in the electronic device or operatively connected to the electronic device in response to the input, collect at least one hint defined in the at least one or more domains, identify a common parameter for the collected at least one hint, to reconstruct the hint using the identified common parameter, and provide response data including the reconstructed hint, using the user interface.

Electronic device for analyzing domain associations and reconstructing hints customized for a user based on a common parameter

Disclosed is an electronic apparatus comprising, a memory configured to store instructions; and at least one processor connected to the memory, and configured to detect at least one object of a first-class object or a second-class object included in a target image by the electronic apparatus using an artificial intelligent algorithm to apply the target image to a learned neural network model, and identify and apply an image-quality processing method to be individually applied to at least one detected object, the neural network model is set to detect an object included in an image, as trained based on learning data such as an image, a class to which the image belongs, information about the first-class object included in the image, and information about the second-class object included in the image.

Electronic apparatus and method of controlling the same

An artificial intelligence (AI) system utilizing machine learning algorithm and application of an electronic apparatus includes a memory and a processor to store at least one obtained image in the memory, and based on the at least one image being classified on a basis of an aesthetic score through an AI model, sort and provide the at least one image based on the classification result, and the AI model may include a plurality of layers with different depths, extract a feature of the at least one image from each of the plurality of layers, and classify the at least one image on a basis of the aesthetic score in accordance with the plurality of extracted features.

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Suwon-si, South Korea

Sanghee Kim