Samsung Electronics Co., Ltd.

Inkwon Choi

Chiyoun Park

Jaedeok Kim

Youngchul Sohn

Sunghyun Choi

Changhyun Lee

Joohyung Lee

Hyunjoo Jung

Juyong Song

Kangwook Lee

Ilgu Kang

Byeongcheol Kang

Dongjae Lim

Donguk Ju

Gyujeong Hwang

Jungmin Kwon

Hyunseo Park

Jeongseop Kim

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

Provided are an electronic device for navigating an application screen, and an operating method thereof. The method may include receiving a user input; determining, based on the user input, a user intent for controlling the electronic device; determining a command for performing a control operation corresponding to the user intent as a goal; identifying elements of a user interface on the screen of the application; determining, based on the user intent and the elements of the user interface, at least one sub-goal for executing the command; and executing the command by performing at least one task corresponding to the at least one sub-goal, wherein the at least one sub-goal is changeable based on a validation of an operation of navigating the application for executing the command, and the at least one task includes units of action for navigating the application.

Method and electronic device for navigating application screen

Disclosed is an electronic apparatus. The electronic apparatus may include a memory configured to store one or more training data generation models and an artificial intelligence model, and a processor configured to generate personal training data that reflects a characteristic of a user using the one or more training data generation models, train the artificial intelligence model using the personal learning data as training data, and store the trained artificial intelligence model in the memory.

Method and apparatus for artificial intelligence model personalization

An electronic device for reconstructing an artificial intelligence model, and a control method thereof are provided. The control method includes inputting at least one input data to a first artificial intelligence (AI) model, to acquire at least one output data, acquiring first usage information, based on the acquired at least one output data, acquiring first reconstruction information for reconstructing the first AI model, based on the acquired first usage information, and reconstructing the first AI model, based on the acquired first reconstruction information, to acquire a second AI model.

Electronic device for reconstructing an artificial intelligence model and a control method thereof

An electronic apparatus for compressing a neural network model may acquire training data pairs based on an original, trained neural network model and train a compressed neural network model compressed from the original, trained neural network model using the acquired training data pairs.

Neural network model apparatus and compressing method of neural network model

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Suwon-si, South Korea

Inkwon Choi