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    ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE
    1.
    发明公开
    ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE 审中-公开

    公开(公告)号：US20240346312A1

    公开(公告)日：2024-10-17

    申请号：US18750655

    申请日：2024-06-21

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jijoong MOON ,  Parichay KAPOOR ,  Jihoon LEE ,  Hyeonseok LEE ,  Myungjoo HAM

    IPC: G06N3/08 ,  G06N3/04

    CPC classification number: G06N3/08 ,  G06N3/04

    Abstract: An electronic apparatus may include a memory configured to store data related to a neural network model and at least one processor configured to divide a learning step performed through a plurality of layers of the neural network model into a plurality of steps including a forward propagation step, a gradient calculation step, and a derivative calculation step, and determine an execution order of the plurality of steps, obtain first information regarding in which step of a plurality of steps according to the determined execution order a plurality of sensors used in the plurality of layers are used, based on the determined execution order, integrate the determined execution order based on the first information and second information regarding whether tensors used in neighboring layers from among the plurality of layers are able to be shared, allocate the data to the plurality of tensors by minimizing a region of the memory for allocating data corresponding to the plurality of tensors, based on the integrated execution order, and train the neural network model according to the integrated execution order using the plurality of tensors and the data allocated to the plurality of tensors. Various other embodiments are possible to be implemented.

    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF
    2.
    发明申请
    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF 审中-公开

    公开(公告)号：US20200074283A1

    公开(公告)日：2020-03-05

    申请号：US16555331

    申请日：2019-08-29

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Parichay KAPOOR ,  Saehyung LEE ,  Dongsoo LEE ,  Byeoungwook KIM

    IPC: G06N3/06 ,  G06N3/08

    Abstract: An electronic apparatus is provided. The electronic apparatus includes a storage storing a matrix included in an artificial intelligence model, and a processor. The processor divides data included in at least a portion of the matrix by one of rows and columns of the matrix to form groups, clusters the groups into clusters based on data included in each of the groups, and quantizes data divided by the other one of rows and columns of the matrix among data included in each of the clusters.

    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF
    3.
    发明申请
    ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF 审中-公开

    公开(公告)号：US20200234131A1

    公开(公告)日：2020-07-23

    申请号：US16727323

    申请日：2019-12-26

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Dongsoo LEE ,  Sejung KWON ,  Parichay KAPOOR ,  Byeoungwook KIM

    IPC: G06N3/08 ,  G06N3/04 ,  G06F17/16

    Abstract: An electronic apparatus is provided. The electronic apparatus includes sample data and memory storing a first matrix included in an artificial intelligence model trained based on sample data, and a processor configured to prunes each of a plurality of first elements included in the first matrix based on a first threshold, and acquire a first pruning index matrix that indicates whether each of the plurality of first elements has been pruned with binary data, factorize the first matrix to a second matrix of which size was determined based on the number of rows and the rank, and a third matrix of which size was determined based on the rank and the number of columns of the first matrix, prunes each of a plurality of second elements included in the second matrix based on a second threshold, and acquire a second pruning index matrix that indicates whether each of the plurality of second elements has been pruned with binary data, prunes each of a plurality of third elements included in the third matrix based on a third threshold, and acquire a third pruning index matrix that indicates whether each of the plurality of third elements has been pruned with binary data, acquire a final index matrix based on the second pruning index matrix and the third pruning index matrix, and update at least one of the second pruning index matrix or the third pruning index matrix by comparing the final index matrix with the first pruning index matrix.

    METHOD FOR LOCKING AND UNLOCKING TOUCHSCREEN-EQUIPPED MOBILE DEVICE AND MOBILE DEVICE
    5.
    发明申请
    METHOD FOR LOCKING AND UNLOCKING TOUCHSCREEN-EQUIPPED MOBILE DEVICE AND MOBILE DEVICE 审中-公开

    公开(公告)号：US20170109035A1

    公开(公告)日：2017-04-20

    申请号：US15293757

    申请日：2016-10-14

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Pankaj AGARWAL ,  Sameer Kumar AGRAWAL ,  Parichay KAPOOR

    IPC: G06F3/0488 ,  G06F21/60 ,  G06F21/36 ,  G06F3/0482 ,  G06F3/0481

    CPC classification number: G06F3/04883 ,  G06F3/0481 ,  G06F3/0482 ,  G06F21/36 ,  G06F21/604 ,  G06F2221/2133

    Abstract: The present disclosure relates generally to technologies for sensor networks, machine-to-machine (M2M), machine-type communication (MTC), and Internet of things (IoT). The present disclosure may be used in intelligent services (smart home, smart building, smart city, smart car, or connected car, health-care, digital education, retail business, security and safety-related services, etc.), or the like, without limitation. According to the present disclosure, a method for locking a device comprises displaying a screen requesting selection of an image category for a lock screen when an input corresponding to a lock request through a display unit supporting a touch input is detected; displaying a screen requesting setting a password for unlocking when an input corresponding to the selection of the image category is detected; and selecting images supporting the password setting among images included in the selected image category into a group when an input corresponding to the password setting is detected, and locking the touch input to the display unit by displaying one of the selected images.

    ADVERTISEMENT PERSONALIZATION METHOD AND APPARATUS
    6.
    发明申请
    ADVERTISEMENT PERSONALIZATION METHOD AND APPARATUS 有权

    公开(公告)号：US20240394750A1

    公开(公告)日：2024-11-28

    申请号：US18796475

    申请日：2024-08-07

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Myungjoo HAM ,  Gichan JANG ,  Parichay KAPOOR

    IPC: G06Q30/0251

    Abstract: Disclosed is a client device for personalizing an advertisement, the client device including a memory storing instructions, and a processor, wherein the processor is configured to execute the instructions to obtain, through an advertisement personalization unit, activity information about a user related to the client device, based on an artificial intelligence learning model and the activity information, generate, through the advertisement personalization unit, a personalized advertisement query for the user, transmit, through the advertisement personalization unit, the advertisement query to an advertisement management server, receive, through the advertisement personalization unit, information about at least one advertisement corresponding to the advertisement query, from the advertisement management server, and provide, through the advertisement personalization unit, part or all of the information about the at least one advertisement, to an advertisement output unit.

    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF
    9.
    发明申请
    ELECTRONIC DEVICE AND CONTROL METHOD THEREOF 有权

    公开(公告)号：US20210279589A1

    公开(公告)日：2021-09-09

    申请号：US17258617

    申请日：2019-05-10

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Dongsoo LEE ,  Parichay KAPOOR ,  Byeoungwook KIM

    IPC: G06N3/08 ,  G06K9/62

    Abstract: Disclosed is an electronic device. The electronic device comprises a storage in which sample data and a matrix included in an artificial intelligence model which is trained on the basis of the sample data are stored, and a processor, wherein the processor is configured to: on the basis of the sizes of a plurality of elements included in the matrix, obtain a first matrix pruned by converting values of elements in the number corresponding to a first proportion to zero values; on the basis of test data, obtain first accuracy of an artificial intelligence model including the first matrix; if the first accuracy is within a preset range with respect to a preset value, retrain the artificial intelligence model including the first matrix on the basis of the sample data; and, on the basis of the sizes of a plurality of elements included in the retrained first matrix, obtain a second matrix pruned by converting values of elements in the number corresponding to a second proportion, which is greater than the first proportion, to zero values.

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