Patents by Inventor Sejung KWON
Sejung KWON has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11734577Abstract: A method for an electronic apparatus to perform an operation of an artificial intelligence model includes acquiring resource information for hardware of the electronic apparatus while a plurality of data used for an operation of a neural network model are stored in a memory, the plurality of data respectively having degrees of importance different from each other; obtaining data to be used for the operation of the neural network model among the plurality of data according to the degrees of importance of each of the plurality of data based on the acquired resource information; and performing the operation of the neural network model by using the obtained data.Type: GrantFiled: May 18, 2020Date of Patent: August 22, 2023Assignee: SAMSUNG ELECTRONICS CO., LTDInventors: Sejung Kwon, Dongsoo Lee
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Publication number: 20230244441Abstract: An electronic device and a control method therefor are disclosed. An electronic device of the present disclosure includes a processor, which quantizes weight data with a combination of sign data and scaling factor data to obtain quantized data, and may input the first input data into a first module to obtain second input data in which exponents of input values included in the first input data are converted to the same value; input the second input data and the sign data into a second module to determine the signs of input values and perform calculations between the input values of which signs are determined to obtain first output data; input the first output data into a third module to normalize output values included in the first output data; and perform a multiplication operation on data including the normalized output values and the scaling factor data to obtain second output data.Type: ApplicationFiled: April 5, 2023Publication date: August 3, 2023Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Byeoungwook KIM, Dongsoo LEE, Sejung KWON, Yeonju RO, Baeseong PARK, Yongkweon JEON
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Electronic device and operation method for embedding an input word using two memory operating speeds
Patent number: 11675973Abstract: An electronic device is provided. The electronic device includes a first memory configured to operate at a first speed and store compressed vectors corresponding to words, and scaling factors corresponding to the compressed vectors; a second memory that is faster than the first memory and is configured to store a first group of the compressed vectors, and store a first group of the scaling factors; and a processor configured to obtain a first compressed vector and a first scaling factor corresponding to an input word from the first memory or the second memory and process the obtained first compressed vector and the obtained first scaling factor by using a neural network.Type: GrantFiled: November 24, 2020Date of Patent: June 13, 2023Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Sejung Kwon, Dongsoo Lee -
Patent number: 11595062Abstract: A decompression apparatus is provided. The decompression apparatus includes a memory configured to store compressed data decompressed and used in neural network processing of an artificial intelligence model, a decoder configured to include a plurality of logic circuits related to a compression method of the compressed data, decompress the compressed data through the plurality of logic circuits based on an input of the compressed data, and output the decompressed data, and a processor configured to obtain data of a neural network processible form from the data output from the decoder.Type: GrantFiled: December 22, 2020Date of Patent: February 28, 2023Assignee: Samsung Electronics Co., Ltd.Inventors: Dongsoo Lee, Sejung Kwon, Byeoungwook Kim, Parichay Kapoor, Baeseong Park
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Patent number: 11568254Abstract: An electronic apparatus is provided.Type: GrantFiled: December 26, 2019Date of Patent: January 31, 2023Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Dongsoo Lee, Sejung Kwon, Parichay Kapoor, Byeoungwook Kim
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Publication number: 20220114454Abstract: An electronic apparatus may include a memory configured to store compressed data that is to be decompressed for a neural network calculation of an artificial intelligence model; a decoder including a shift register configured to sequentially receive the compressed data in group units and output at least two groups of the compressed data, and a plurality of logic circuits configured to decompress the at least two groups of the compressed data to obtain decompressed data; and a processor configured to obtain the decompressed data in a form capable of being calculated by a neural network.Type: ApplicationFiled: November 4, 2021Publication date: April 14, 2022Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Baeseong PARK, Sejung KWON
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Publication number: 20220058487Abstract: An electronic apparatus, including a memory configured to store weight data used for computation of a neural network model; and a processor configured to: identify, from among weight values included in the weight data, at least one weight value having a size less than or equal to a threshold value, quantize remaining weight values other than the identified at least one weight value to obtain first quantized data including quantized values corresponding to the remaining weight values, identify, from among the quantized values, a quantized value closest to a predetermined value, obtain second quantized data including a quantized value corresponding to the at least one weight value based on the quantized value closest to the predetermined value, and store the first quantized data and the second quantized data in the memoryType: ApplicationFiled: November 5, 2021Publication date: February 24, 2022Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Dongsoo LEE, Sejung KWON, Byeoungwook Kim
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Publication number: 20210271981Abstract: An electronic apparatus performing an operation of a neural network model is provided. The electronic apparatus includes a memory configured to store weight data including quantized weight values of the neural network model; and a processor configured to obtain operation data based on input data and binary data having at least one bit value different from each other, generate a lookup table by matching the operation data with the binary data, identify operation data corresponding to the weight data from the lookup table, and perform an operation of the neural network model based on the identified operation data.Type: ApplicationFiled: February 9, 2021Publication date: September 2, 2021Inventors: Dongsoo LEE, Baeseong PARK, Byeoungwook KIM, Sejung KWON, Yongkweon JEON
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Publication number: 20210240925Abstract: An electronic device is provided. The electronic device includes a first memory configured to operate at a first speed and store compressed vectors corresponding to words, and scaling factors corresponding to the compressed vectors; a second memory that is faster than the first memory and is configured to store a first group of the compressed vectors, and store a first group of the scaling factors; and a processor configured to obtain a first compressed vector and a first scaling factor corresponding to an input word from the first memory or the second memory and process the obtained first compressed vector and the obtained first scaling factor by using a neural network.Type: ApplicationFiled: November 24, 2020Publication date: August 5, 2021Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Sejung KWON, Dongsoo Lee
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Publication number: 20210111741Abstract: A decompression apparatus is provided. The decompression apparatus includes a memory configured to store compressed data decompressed and used in neural network processing of an artificial intelligence model, a decoder configured to include a plurality of logic circuits related to a compression method of the compressed data, decompress the compressed data through the plurality of logic circuits based on an input of the compressed data, and output the decompressed data, and a processor configured to obtain data of a neural network processible form from the data output from the decoder.Type: ApplicationFiled: December 22, 2020Publication date: April 15, 2021Inventors: Dongsoo LEE, Sejung KWON, Byeoungwook KIM, Parichay KAPOOR, Baeseong PARK
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Patent number: 10917121Abstract: A decompression apparatus is provided. The decompression apparatus includes a memory configured to store compressed data decompressed and used in neural network processing of an artificial intelligence model, a decoder configured to include a plurality of logic circuits related to a compression method of the compressed data, decompress the compressed data through the plurality of logic circuits based on an input of the compressed data, and output the decompressed data, and a processor configured to obtain data of a neural network processible form from the data output from the decoder.Type: GrantFiled: April 21, 2020Date of Patent: February 9, 2021Assignee: Samsung Electronics Co., Ltd.Inventors: Dongsoo Lee, Sejung Kwon, Byeoungwook Kim, Parichay Kapoor, Baeseong Park
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Publication number: 20210027168Abstract: An electronic apparatus is provided. The electronic apparatus includes a memory configured to store one instruction or more and a processor configured to obtain output data by inputting input data to an artificial intelligence model including a plurality of layers by executing the instruction, and the artificial intelligence model is configured to output the output data based on operation through the plurality of layers and the processor is configured to encode operation data output from one of the plurality of layers and store the encoded operation data in the memory, obtain recovery data corresponding to the operation data by decoding the encoded operation data stored in the memory, and provide the obtained recovery data to another layer from among the plurality of layers.Type: ApplicationFiled: June 4, 2020Publication date: January 28, 2021Inventors: Dongsoo LEE, Sejung KWON, Byeoungwook KIM
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Publication number: 20200387801Abstract: A method for an electronic apparatus to perform an operation of an artificial intelligence model includes acquiring resource information for hardware of the electronic apparatus while a plurality of data used for an operation of a neural network model are stored in a memory, the plurality of data respectively having degrees of importance different from each other; obtaining data to be used for the operation of the neural network model among the plurality of data according to the degrees of importance of each of the plurality of data based on the acquired resource information; and performing the operation of the neural network model by using the obtained data.Type: ApplicationFiled: May 18, 2020Publication date: December 10, 2020Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Sejung KWON, Dongsoo Lee
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Publication number: 20200373946Abstract: A decompression apparatus is provided. The decompression apparatus includes a memory configured to store compressed data decompressed and used in neural network processing of an artificial intelligence model, a decoder configured to include a plurality of logic circuits related to a compression method of the compressed data, decompress the compressed data through the plurality of logic circuits based on an input of the compressed data, and output the decompressed data, and a processor configured to obtain data of a neural network processible form from the data output from the decoder.Type: ApplicationFiled: April 21, 2020Publication date: November 26, 2020Inventors: Dongsoo LEE, Sejung KWON, Byeoungwook KIM, Parichay KAPOOR, Baeseong PARK
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Publication number: 20200364558Abstract: Provided is an electronic apparatus. The electronic apparatus includes a memory and a processor. The processor is configured to apply a low rank approximation using a matrix decomposition for a first square matrix among a plurality of square matrices based on parameter values of a deep learning model, and obtain a first approximated matrix and a second approximated matrix for the first square matrix, obtain second approximated matrices for each of a plurality of remaining square matrices other than the first square matrix among the plurality of square matrices, based on the first approximated matrix for the first square matrix, and store the first approximated matrix the first square matrix and the second approximated matrices for each of the plurality of square matrices in the memory.Type: ApplicationFiled: April 8, 2020Publication date: November 19, 2020Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Sejung KWON, Baeseong PARK, Dongsoo LEE
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Publication number: 20200234131Abstract: An electronic apparatus is provided.Type: ApplicationFiled: December 26, 2019Publication date: July 23, 2020Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Dongsoo LEE, Sejung KWON, Parichay KAPOOR, Byeoungwook KIM