Samsung Electronics Co., Ltd.

Eunseo Kim

Chanwon Seo

Myungjin Eom

Yehoon Kim

Inhak Na

Youngeun Lee

Jaehyun Bae

Soonhyuk Hong

Hongpyo Lee

Shivam Garg

An electronic device includes: a processor; and a memory storing instructions. By executing the instructions, the processor is configured to: receive a first image, recognize a plurality of objects in the first image to generate object information representing the plurality of objects, generate an object relationship graph including relationships between the plurality of objects, based on the first image and the object information, obtain image effect data including image effects to be respectively applied to the plurality of objects by inputting the object relationship graph to an image modification Graph Neural Network (GNN) model, and generate a modified image based on the first image, the object information, and the image effect data.

Artificial intelligence system and method for modifying image on basis of relationship between objects

An electronic device and a controlling method thereof are provided. An electronic device includes a memory configured to store at least one instruction and a processor configured to execute the at least one instruction and operate as instructed by the at least one instruction. The processor is configured to: obtain a first image; based on receiving a first user command to correct the first image, obtain a second image by correcting the first image; based on the first image and the second image, train a neural network model; and based on receiving a second user command to correct a third image, obtain a fourth image by correcting the third image using the trained neural network model.

Electronic device and controlling method of electronic device

A method for performing a task of a cleaning robot is provided. The method according to an embodiment includes generating a navigation map for driving the cleaning robot using a result of at least one sensor detecting a task area in which an object is arranged, obtaining recognition information of the object by applying an image of the object captured by at least one camera to a trained artificial intelligence model, generating a semantic map indicating environment of the task area by mapping an area of the object included in the navigation map with the recognition information of the object, and performing a task of the cleaning robot based on a control command of a user using the semantic map. An example of the trained artificial intelligence model may be a deep-learning neural network model in which a plurality of network nodes having weighted values are disposed in different layers and exchange data according to a convolution relationship, but the disclosure is not limited thereto.

Cleaning robot and method for performing task thereof

An electronic apparatus is disclosed. The electronic apparatus includes a sensor, a camera, a memory, a camera and a processor. The memory stores a plurality of artificial intelligence models trained to identify objects and stores information on a map. The first processor provides, to the second processor, area information on an area in which the electronic apparatus is determined, based on sensing data obtained from the sensor, to be located, from among a plurality of areas included in the map. The second processor loads at least one artificial intelligence model of the plurality of artificial intelligence models to the volatile memory based on the area information and identifies an object by inputting the image obtained through the camera to the loaded artificial intelligence model.

Electronic apparatus for object recognition and control method thereof

An electronic device is disclosed. The electronic device includes a memory configured to store a pronunciation dictionary including a plurality of words; and a processor configured to: obtain a second word based on a first word of the plurality of words; obtain a first text corpus related to the first word through web crawling of the first word and a second text corpus related to the second word through web crawling of the second word; and verify the second word based on a result of comparison of the first text corpus and the second text corpus.

Growing community of inventors

Suwon-si, South Korea

Eunseo Kim