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公开(公告)号：US20240274225A1
公开(公告)日：2024-08-15
申请号：US18648655
申请日：2024-04-29
申请人： DEEPX CO., LTD.
发明人： Lok Won KIM
IPC分类号： G11C29/00 , G05B19/418 , G06F11/26 , G11C29/10
CPC分类号： G11C29/78 , G05B19/41875 , G06F11/26 , G11C29/10 , G05B2219/32368 , G05B2219/45031
摘要： Provided is a method for performing an aging test on a neural processing unit (NPU) with a capability of a runtime test. The method may comprise: performing an aging test on the NPU which comprises a plurality of functional components. The plurality of functional components may comprise at least one memory and plural processing elements. The performing of the aging test may include: performing a scan test on the NPU to verify whether at least one functional component in the NPU is defective or not; and performing a memory test on the at least one memory. At least one of the scan test and the memory test may be repeatedly performed to put a stress on the NPU for the aging test. The aging test may be repeated by a predetermined number.
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公开(公告)号：US20240231681A1
公开(公告)日：2024-07-11
申请号：US18425102
申请日：2024-01-29
申请人： DEEPX CO., LTD.
发明人： Lok Won KIM
CPC分类号： G06F3/0655 , G06F3/0604 , G06F3/0679 , G06N3/063
摘要： According to an example of the present disclosure, a system is provided. A system may include a processor configured to output a memory control signal including an artificial neural network data locality, and a memory controller configured to receive the memory control signal from the processor and control a main memory in which data of an artificial neural network model corresponding to the artificial neural network data locality, is stored
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公开(公告)号：US20240104912A1
公开(公告)日：2024-03-28
申请号：US18267095
申请日：2022-07-01
申请人： DEEPX CO., LTD.
发明人： Lok Won KIM , Shin Woo JEON
摘要： An image processing method includes receiving an image including an object; classifying at least one object in the image using a first model on the basis of an artificial neural network configured to classify the at least one object by inputting the image; and obtaining an image having improved quality according to the at least one object by inputting the image in which the at least one object is classified by using at least one model among a plurality of second models on the basis of an artificial neural network configured to output a specialized processing applied image according to a particular object by inputting the received image.
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公开(公告)号：US20240012445A1
公开(公告)日：2024-01-11
申请号：US18473746
申请日：2023-09-25
申请人： DEEPX CO., LTD.
发明人： Lok Won KIM , Jin Gun SONG , Seong Jin LEE
摘要： A system-on-chip (SoC) may comprise a semi-conductor substrate; a first circuitry, disposed on the semi-conductor substrate, provided for a first neural processing unit (NPU) configured to perform operations of an artificial neural network model (ANN); a second circuitry, disposed on the semi-conductor substrate, provided for a second NPU configured to perform operations of an ANN model, each of the first NPU and the second NPU including a plurality of processing elements (PEs), the plurality of PEs including an adder, a multiplier, and an accumulator; and a clock signal supply circuit, disposed on the semi-conductor substrate, configured to output one or more clock signals, wherein a first clock signal among the one or more clock signals may be supplied to the first NPU, and a second clock signal among the one or more clock signals may be supplied to the second NPU.
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公开(公告)号：US20230316040A1
公开(公告)日：2023-10-05
申请号：US18312660
申请日：2023-05-05
申请人： DEEPX CO., LTD.
发明人： You Jun KIM , Ha Joon YU , Lok Won KIM
IPC分类号： G06N3/04
CPC分类号： G06N3/04
摘要： A neural processing unit (NPU) mounted on a movable device for detecting object is provided. The NPU may comprise a plurality of processing elements (PEs), configured to process an operation of a first artificial neural network model (ANN) and an operation of a second ANN different from the first ANN; a memory configured to store a portion of a data of the first ANN and the second ANN; and a controller configured to control the PEs and the memory to selectively perform a convolution operation of the first ANN or the second ANN based on a determination data, wherein the determination data may include an object detection performance data of the first ANN and the second ANN, respectively.
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公开(公告)号：US20230244583A1
公开(公告)日：2023-08-03
申请号：US18299185
申请日：2023-04-12
申请人： DEEPX CO., LTD.
发明人： Lok Won KIM
IPC分类号： G06F11/273 , G06N3/02
CPC分类号： G06F11/273 , G06N3/02 , G06F2213/0038
摘要： A system on chip (SoC) for testing a component in a system during runtime includes a plurality of functional components; a system bus for allowing the plurality of functional components to communicate with each other; one or more wrappers, each connected to one of the plurality of functional components; and an in-system component tester (ICT). The ICT monitors, via the wrappers, states of the functional components; selects, as a component under test (CUT), at least one functional component in an idle state; tests, via the wrappers, the selected at least one functional component; interrupts the testing step with respect to the selected at least one functional component, based on a detection of a collision with an access from the system bus to the selected at least one functional component; and allows a connection of the at least one functional component to the system bus, based on the interrupting step.
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7.发明公开公开(公告)号：US20230237792A1
公开(公告)日：2023-07-27
申请号：US18125666
申请日：2023-03-23
申请人： DEEPX CO., LTD.
发明人： Lok Won KIM
CPC分类号： G06V10/82 , G06T5/00 , G06V10/20 , G06T2207/20084
摘要： An apparatus for recognizing an object in an image includes a preprocessing module configured to receive an image including an object and to output a preprocessed image by performing image enhancement processing on the received image to improve a recognition rate of the object included in the received image; and an object recognition module configured to recognize the object included in the image by inputting the preprocessed image to an input layer of an artificial neural network for object recognition.
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公开(公告)号：US20230169314A1
公开(公告)日：2023-06-01
申请号：US17750568
申请日：2022-05-23
申请人： DEEPX CO., LTD.
发明人： Lok Won KIM , Ho Seung KIM , Hyung Jin CHUN
IPC分类号： G06N3/04
CPC分类号： G06N3/0481
摘要： A method for programming an activation function is provided. The method includes generating segment data for segmenting the activation function; segmenting the activation function into a plurality of segments using the segment data; and approximating at least one segment of the plurality of segments as a programmable segment. An apparatus for performing the method may include a programmable activation function generator configured to generate segment data for segmenting an activation function; segment the activation function into a plurality of segments using the generated segment data; and approximate at least one segment of the plurality of segments as a programmable segment. By using segment data, various non-linear activation functions, particularly newly proposed or known activation functions with some modifications, can be programmed to be processable in hardware.
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公开(公告)号：US20210110454A1
公开(公告)日：2021-04-15
申请号：US17129955
申请日：2020-12-22
申请人： DEEPX CO., LTD.
发明人： Lok Won KIM
摘要： The present disclosure relates to a method for providing shopping information by product and an electronic device performing the same and, more particularly, to a method for providing shopping information by product using an AI recognition model obtained by machine learning of an artificial neural network, and an electronic device performing the same. A method for providing shopping information by product, according to an embodiment of the present disclosure, comprises: an image acquisition step in which a camera-associated app linked to a camera module acquires a product image through the camera module; a recognition step in which an AI recognition model obtained by machine learning of an artificial neural network receives the product image and recognizes product information; a transmission step in which a communication module transmits the product information to a server; a receiving step in which the communication module receives, from the server, shopping information corresponding to the product information; and a display step in which a display module displays the shopping information on a screen.
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公开(公告)号：US20240265503A1
公开(公告)日：2024-08-08
申请号：US18021385
申请日：2022-11-30
申请人： DEEPX CO., LTD.
发明人： Lok Won KIM
IPC分类号： G06T5/60 , G06T3/4046 , G06T3/4053 , G06T5/50
CPC分类号： G06T5/60 , G06T3/4046 , G06T3/4053 , G06T5/50 , G06T2200/28 , G06T2207/10024 , G06T2207/10048 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221 , G06T2207/30201
摘要： An artificial neural network system for image fusion includes a first sensor that acquires a first image having a first resolution and a first image characteristic; a second sensor that acquires a second image having a second resolution less than the first resolution and a second image characteristic different from the first image characteristic; and a neural processing unit configured to process an image fusion artificial neural network model trained to output a new third image by inputting a first image and a second image having different resolutions and image characteristics. A third image may have a resolution having a value between a resolution of the first image and a resolution of the second image, and a third image may have an image characteristic that is the same as at least one of an image characteristic of the first image and an image characteristic of the second image.
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