Samsung Electronics Co., Ltd.

Hyunjoo Jung

Chiyoun Park

Jaedeok Kim

Jungwook Kim

Juyong Song

Jaehong Kim

Ilgu Kang

Sunghyun Choi

Sangkyung Lee

Joonho Kim

Yoonhee Choi

Seoyoung Yoon

Taehan Jeon

Youngjae Oh

Hyoungseon Choi

Jiwoon Jung

Changwon Son

Inkwon Choi

Jinhong Min

Younjoo Song

Dongjae Lim

A controlling method of an electronic device are provided. The controlling method includes obtaining, a first feature value corresponding to the input data, mapping information included in the first feature value to a symbolic value corresponding to each of a logically certain information and uncertain information, tweaking a gradient corresponding to the uncertain information, obtaining a second feature value in which the first feature value and the symbolic value are merged, obtaining temporary answer information including the certain information and the uncertain information, obtaining score information related to a level the temporary answer information matches a pre-defined logic rule, training the neural network model based on the tweaked gradient when the score information is less than a pre-set threshold value, and obtaining an output data on the input data based on the obtained second feature value when the score information is greater than or equal to the pre-set threshold value.

Electronic device and controlling method of electronic device for applying a logical constraint to a neural network model

An electronic device and a controlling method of an electronic device are provided. The electronic device includes identifying whether each of one or more neural network models included in a first external device is suitable for hardware of the electronic device and whether each of the one or more neural network models identified as suitable for the hardware of the electronic device is suitable to replace the neural network models included in the electronic device, based on first device information on a hardware specifications of the electronic device, second device information on a hardware specification of the first external device, first model information on the one or more neural network models included in the first external device, and second model information on the one or more neural network models included in the electronic device.

Electronic device and controlling method for installing neural network models suitable for hardware of the electronic device

A method of controlling an electronic apparatus for generating an artificial intelligence model is disclosed. The method includes based on a user command for using a plurality of artificial intelligence models being input, generating the plurality of artificial intelligence models, and inputting input data to the generated artificial intelligence model to obtain output data with respect to the input data, wherein the generating includes, based on a reference value for obtaining a layer parameter with respect to layers at corresponding locations among a plurality of layers included in each of the plurality of artificial intelligence model, generating layers at corresponding locations among layers included in each of the plurality of artificial intelligence models.

Electronic apparatus and method of controlling thereof

An electronic device and a control method therefor are provided. The electronic device may comprise: a memory for storing at least one instruction; and a processor connected to the memory so as to control the electronic device, wherein the processor: by executing the at least one instruction, appends a second layer including a learnable function to a first layer in an artificial neural network including a plurality of layers; updates a parameter value included in the second layer by learning of the artificial neural network; acquires a function value by inputting the updated parameter value to the learnable function; and eliminates at least one channel among a plurality of channels included in the first layer on the basis of the acquired function value so as to achieve update to a third layer.

Electronic device and control method therefor

An electronic apparatus is provided. The apparatus includes a communicator, a memory configured to store a neural network model, an activation function generating module that generates activation function information used in the neural network model, first activation function information, second activation function information, and third activation function information generated based on the first activation function information and the second activation function information, and a processor configured to receive fourth activation function information from an external device through the communicator, based on type information on the fourth activation function information corresponding to the second activation function information, input the first activation function information and the fourth activation function information to the activation function generating module to generate fifth activation function information, and control the neural network model to change the activation function information used in the neural network model from the third activation function information to the fifth activation function information.

An electronic device and a method for controlling thereof is provided. The electronic device includes a memory including a neural network model, a display, a communicator including circuitry, and a processor configured to identify, based on a user command to transmit a first image to an external device being input, whether private information of a user is included in the first image by inputting the first image in the neural network model, based on identifying that private information of the user is included in the first image, display a first user interface (UI) asking whether to process at least one private information based on the private information included in the first image, and based on a user command input through the first UI, process the first image and control the communicator to transmit the processed to the external device.

Electronic device and method for controlling thereof

Electronic device and controlling method of electronic device for identifying transition suitability of a neural network model included in an external device

Provided is an apparatus configured to determine a common neural network based on a comparison between a first neural network included in a first application program and a second neural network included in a second application program, utilize the common neural network when the first application program or the second application program is executed.

Apparatus and method for managing application program

A first electronic device according to various embodiments may include: a display; a communication module comprising communication circuitry; a camera module including at least one camera; and a processor. The processor may be configured to: identify a request for measuring a skin condition of a user in a state in which the first electronic device is cradled on a second electronic device; acquire, based on information of the camera module and information regarding at least one light-emitting element included in the second electronic device, control information for controlling output of the at least one light-emitting element; control output of light from the at least one light-emitting element of the second electronic device based on the control information; acquire at least one image including at least a part of a body of the user through the camera module while light is output through the at least one light-emitting element controlled based on the control information; and provide information regarding the skin condition of the user using the at least one image.

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Suwon-si, South Korea

Hyunjoo Jung