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公开(公告)号:US20250148272A1
公开(公告)日:2025-05-08
申请号:US19007909
申请日:2025-01-02
Applicant: DEEPX CO., LTD.
Inventor: Jong Hoon SHIN , Lok Won KIM , Hyung Jin CHUN , Ho Seung KIM
IPC: G06N3/048
Abstract: An activation function conversion program unit and method may be configured to approximate a target activation function to a programmed activation function through machine-learning of an artificial neural network. The method may include setting up a target activation function; approximating the target activation function to a programmed activation function by machine-learning an artificial neural network; and converting the programmed activation function into a slope and offset and storing it in a lookup table. Accordingly, the computation speed and power consumption of the programmed activation function execution unit of an NPU may be optimized.
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公开(公告)号:US20250068586A1
公开(公告)日:2025-02-27
申请号:US18784455
申请日:2024-07-25
Applicant: DEEPX CO., LTD.
Inventor: Lok Won KIM , Seong Jin LEE , Jin Gun SONG
Abstract: A neural processing unit (NPU) is proposed. The NPU may comprise a first circuit configured to perform operations for an artificial neural network (ANN) model, and arranged for a plurality of processing elements (PE) groups including a plurality of PEs, and a second circuit configured to operate as a clock divider configured to generate a plurality of clock signals having different phases, respectively, by dividing a source clock signal and provide the plurality of clock signals to the plurality of PE groups. A first clock signal of the plurality of clock signals may be provided to a first PE group of the plurality of PE groups, and a second clock signal of the plurality of clock signals may be provided to a second PE group of the plurality of PE groups.
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公开(公告)号:US20250036952A1
公开(公告)日:2025-01-30
申请号:US18918137
申请日:2024-10-17
Applicant: DEEPX CO., LTD.
Inventor: Lok Won KIM
IPC: G06N3/08 , G06F1/3206 , G06F1/3287 , G06F18/214
Abstract: A learning model creation method for performing a specific function for an electronic device includes: preparing big data for training an artificial neural network including, in pairs, sensing data received from a random sensing data generation unit for sensing human behaviors and specific function performance determination data for determining whether to perform a specific function of an electronic device with respect to the sensing data; preparing an artificial neural network model, and association parameters between the nodes of the input layer and the nodes of the output layer, and calculates inputs of the sensing data for the nodes of the input layer in order to output the specific function performance determination data from the nodes of the output layer; and repeatedly performing a process of inputting the sensing data included in the prepared big data into the nodes of the input layer.
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公开(公告)号:US20240419957A1
公开(公告)日:2024-12-19
申请号:US18819533
申请日:2024-08-29
Applicant: DEEPX CO., LTD.
Inventor: Lok Won KIM , Seong Jin LEE
Abstract: A system may comprise a neural processing unit (NPU) including a plurality of processing elements (PEs) capable of performing computations for at least one artificial neural network (ANN) model; and a switching circuit. The switching circuit may be configured to select one clock signal among a plurality of clock signals having different frequencies, and supply the selected clock signal to the NPU. The one clock signal may be selected based on a utilization rate of the plurality of PEs for a particular layer among a plurality of layers of the at least one ANN model.
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公开(公告)号:US20240419210A1
公开(公告)日:2024-12-19
申请号:US18819437
申请日:2024-08-29
Applicant: DEEPX CO., LTD.
Inventor: Lok Won KIM , Jin Gun SONG , Seong Jin LEE
Abstract: 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:US20240274225A1
公开(公告)日:2024-08-15
申请号:US18648655
申请日:2024-04-29
Applicant: DEEPX CO., LTD.
Inventor: Lok Won KIM
IPC: G11C29/00 , G05B19/418 , G06F11/26 , G11C29/10
CPC classification number: G11C29/78 , G05B19/41875 , G06F11/26 , G11C29/10 , G05B2219/32368 , G05B2219/45031
Abstract: 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
Applicant: DEEPX CO., LTD.
Inventor: Lok Won KIM
CPC classification number: G06F3/0655 , G06F3/0604 , G06F3/0679 , G06N3/063
Abstract: 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
Applicant: DEEPX CO., LTD.
Inventor: Lok Won KIM , Shin Woo JEON
Abstract: 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
Applicant: DEEPX CO., LTD.
Inventor: Lok Won KIM , Jin Gun SONG , Seong Jin LEE
Abstract: 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
Applicant: DEEPX CO., LTD.
Inventor: You Jun KIM , Ha Joon YU , Lok Won KIM
IPC: G06N3/04
CPC classification number: G06N3/04
Abstract: 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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