Samsung Electronics Co., Ltd.

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Sungjin Kim

Jaewon Lee

Hojin Jung

Jongyoub Ryu

Taeho Kil

Jiyeon Hong

Cheolseung Jung

Wonho Ryu

Yonghyun Ryu

Gyubin Son

Hyunsoo Choi

Younguk Kim

Sungja Choi

Doohwa Hong

Kyungsu Kim

Haejun Lee

Sai Chetan

Hyunhan Kim

Daehun Kim

Sathish Indurthi

Huiwon Yun

Seunghak Yu

Eunkyoung Kim

A server for classifying an image and a method of operating the server are provided. The method includes obtaining classification probability values of the image, by applying the image to an image classification model including a plurality of parallel multi-layer perceptron (MLP) layers, and classifying the image, based on the classification probability values, wherein each of the plurality of parallel MLP layers includes a first MLP and a second MLP, an operation using the first MLP and an operation using the second MLP are performed in parallel, and dimensions of data before and after an operation of each of the plurality of parallel MLP layers are same by combining an operation result of the first MLP with an operation result of the second MLP.

Server for classifying image and operating method thereof

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

An electronic apparatus is provided. The electronic apparatus includes a communication interface, a memory, and a processor, wherein the processor is configured to acquire a user command from the user and control the communication interface to transmit the user command to a plurality of external devices, receive information on a first question generated based on the user command and information on first response to the generated first question acquired from users of each of the plurality of external devices, identify whether there a conflict between each first response occurs, acquire information on a subject to be re-questioned, control the communication interface to transmit information on the conflict to at least one external device identified, receive information on a second response to a second question generated, and acquire a final response based on the information on the first response and the information on the second response and output the final response.

Electronic apparatus and method for controlling thereof

Provided are a device and method for providing a notification message related to content. The method includes: recognizing an action related to at least one object in the image content by applying the image content to a first artificial intelligence model for identifying the action of the at least one object; determining target images for identifying the at least one object in the image content; obtaining identification information of the at least one object in the target images by applying the target images to at least one second artificial intelligence model for identifying the at least one object; and generating the notification message describing the image content by applying, to a third artificial intelligence model, an identification value indicating the action and the identification information of the at least one object.

Device and method for providing notification message related to content

Provided are an artificial intelligence (AI) system that mimics cognitive functions, such as recognition and determination, of the human brain using a machine learning algorithm such as deep learning and an application thereof. A method of providing feedback information in response to a user input including determining a user's intention, determining a variation in a number of candidates for an operation to be determined to correspond to the intention based on information input by the user, generating feedback information based on the determined variation, and providing the generated feedback information to the user is provided.

Electronic device and operating method for providing feedback information in response to user input

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Suwon-si, South Korea

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