ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE

    公开(公告)号:US20210174137A1

    公开(公告)日:2021-06-10

    申请号:US17113615

    申请日:2020-12-07

    Abstract: 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 METHOD FOR CONTROLLING THE ELECTRONIC DEVICE

    公开(公告)号:US20210124909A1

    公开(公告)日:2021-04-29

    申请号:US17035986

    申请日:2020-09-29

    Abstract: The electronic device includes a camera, a non-volatile memory storing at least one instruction and a plurality of object recognition models, a volatile memory, and a processor, connected to the non-volatile memory, the volatile memory, and the camera, and configured to control the electronic device. The processor, by executing the at least one instruction, is configured to, based on an operation mode of the electronic device, load, to the volatile memory, a hierarchical object recognition model having a hierarchical structure corresponding to the operation mode, the hierarchical object recognition model including objection recognition models among the plurality of object recognition models, obtain information on an object by inputting an object image obtained through the camera to the hierarchical object recognition model, and determine an operation of the electronic device based on the information on the object.

    ELECTRONIC DEVICE AND METHOD FOR CONTROLLING THEREOF

    公开(公告)号:US20220188452A1

    公开(公告)日:2022-06-16

    申请号:US17516036

    申请日:2021-11-01

    Abstract: 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 APPARATUS FOR APPLYING PERSONALIZED ARTIFICIAL INTELLIGENCE MODEL TO ANOTHER MODEL

    公开(公告)号:US20210065000A1

    公开(公告)日:2021-03-04

    申请号:US17006120

    申请日:2020-08-28

    Abstract: An electronic apparatus includes at least one memory configured to store at least one instruction and a first neural network model; a communicator comprising communication circuitry; and at least one processor configured to execute the at least one instruction to: receive, from an external electronic device, information on a second neural network model stored in the external electronic device through the communicator; compare the first neural network model with the second neural network model based on the information on the second neural network model; and control the communicator to transmit, to the external electronic device, information on a weight between nodes of the first neural network model based on comparison between the second neural network model and the first neural network model.

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