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公开(公告)号:US20210240942A1
公开(公告)日:2021-08-05
申请号:US17077874
申请日:2020-10-22
Applicant: SAMSUNG ELECTRONICS CO., LTD. , NEW YORK UNIVERSITY
Inventor: Yoonjung CHOI , Jaedeok KIM , Ilia KULIKOV , Sean WELLECK , Yuanzhe PANG , Kyunghyun CHO
IPC: G06F40/44 , G06F40/284 , G06F40/56
Abstract: A method of obtaining, by an electronic device, a sentence corresponding to context information, including obtaining first output information including at least one word output by decoding the context information based on at least one data; based on detecting that a first token is not included in the first output information, determining whether a number of words included in the first output information is greater than or equal to a reference value; based on a result of the determining, replacing the at least one data with other data; and obtaining the sentence corresponding to the context information based on at least one output information obtained by decoding the context information based on the other data.
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公开(公告)号:US20210073002A1
公开(公告)日:2021-03-11
申请号:US16951725
申请日:2020-11-18
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyunjoo JUNG , Jaedeok KIM , Chiyoun PARK
Abstract: 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.
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公开(公告)号:US20210019641A1
公开(公告)日:2021-01-21
申请号:US16923551
申请日:2020-07-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Chiyoun PARK , Jaedeok KIM , Youngchul SOHN , Inkwon CHOI
Abstract: 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.
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公开(公告)号:US20200026977A1
公开(公告)日:2020-01-23
申请号:US16516387
申请日:2019-07-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jongryul LEE , Jaedeok KIM
Abstract: A method for controlling an electronic apparatus includes storing a plurality of artificial intelligence models in a first memory, based on receiving a control signal for loading a first artificial intelligence model among the plurality of stored artificial intelligence models into a second memory, identifying an available memory size of the second memory, and based on a size of the first artificial intelligence model being larger than the available memory size of the second memory, obtaining a first compression artificial intelligence model by compressing the first artificial intelligence model based om the available memory size of the second memory, and loading the first compression artificial intelligence model into the second memory.
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公开(公告)号:US20240103883A1
公开(公告)日:2024-03-28
申请号:US18533640
申请日:2023-12-08
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Hyunjoo JUNG , Jaedeok KIM , Chiyoun PARK
Abstract: 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.
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公开(公告)号:US20210125028A1
公开(公告)日:2021-04-29
申请号:US17053005
申请日:2019-05-30
Applicant: SAMSUNG ELECTRONICS CO,. LTD.
Inventor: Chiyoun PARK , Jaedeok KIM , Hyunjoo JUNG , Inkwon CHOI
Abstract: 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.
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公开(公告)号:US20210124909A1
公开(公告)日:2021-04-29
申请号:US17035986
申请日:2020-09-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jungwook KIM , Jaedeok KIM , Juyong SONG , Junho RIM , Jaewook SHIN , Aeran LIM
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.
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公开(公告)号:US20220129645A1
公开(公告)日:2022-04-28
申请号:US17435554
申请日:2021-01-07
Applicant: Samsung Electronics Co., Ltd. , New York University
Inventor: Jaedeok KIM , Sangha KIM , Yunjae LEE , Kyunghyun CHO
IPC: G06F40/58 , G06N3/04 , G06F40/47 , G06F40/284
Abstract: An electronic device is provided. The electronic device includes an inputter configured to obtain an input sentence in a first language, a memory, and a processor, and the processor is configured to obtain a feature vector corresponding to the input sentence by inputting the input sentence to an encoder model, obtain a first latent vector by inputting the feature vector and a specific integer to an intermediate network, obtain information on a first output sentence in a second language different from the first language by inputting the first latent vector to a decoder model, obtain a second latent vector by inputting the feature vector and the information on the first output sentence to the intermediate network, and obtain information on a second output sentence in the second language by inputting the second latent vector to the decoder model.
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公开(公告)号:US20210383190A1
公开(公告)日:2021-12-09
申请号:US17286982
申请日:2019-11-25
Applicant: Samsung Electronics Co., Ltd.
Inventor: Chiyoun PARK , Jaedeok KIM , Hyunjoo JUNG
IPC: G06N3/04
Abstract: 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.
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公开(公告)号:US20210142171A1
公开(公告)日:2021-05-13
申请号:US17086895
申请日:2020-11-02
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hyunjoo JUNG , Chiyoun PARK , Jaedeok KIM
IPC: G06N3/08
Abstract: 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.
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