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公开(公告)号：US20220261634A1
公开(公告)日：2022-08-18
申请号：US17547972
申请日：2021-12-10
发明人： Shaoli LIU , Xiaofu MENG , Xishan ZHANG , Jiaming GUO , Di HUANG , Yao ZHANG , Yu CHEN , Chang LIU
摘要： The technical solution involves a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface apparatus, respectively; the storage component is used to store data; the interface apparatus is used to implement data transfer between the artificial intelligence chip and an external device; and the control component is used to monitor a state of the artificial intelligence chip. The board card is used to perform an artificial intelligence operation.
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公开(公告)号：US20220108150A1
公开(公告)日：2022-04-07
申请号：US17554521
申请日：2021-12-17
发明人： Yao ZHANG , Guang JIANG , Xishan ZHANG , Shiyi ZHOU , Di HUANG , Chang LIU , Jiaming GUO
摘要： Embodiments of the present disclosure relate to a method and an apparatus for processing data, and related products. The embodiments of the present disclosure provide a board card including a storage component, an interface device, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface device, respectively; the storage component is configured to store data; the interface device is configured to implement data transfer between the artificial intelligence chip and external equipment; and the control component is configured to monitor a state of the artificial intelligence chip. The board card is configured to perform artificial intelligence operations.
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公开(公告)号：US20220083909A1
公开(公告)日：2022-03-17
申请号：US17361633
申请日：2021-06-29
发明人： Yao ZHANG , Guang JIANG , Xishan ZHANG , Shiyi ZHOU , Di HUANG , Chang LIU , Jiaming GUO
IPC分类号： G06N20/00
摘要： The present disclosure relates to a method, a device, and related products for processing data. In an embodiment of the present disclosure, when processing data related to a neural network, an optimal truncation threshold value for a plurality of pieces of data is determined. The data is truncated through the truncation data threshold, and the plurality of pieces of data is quantized from a high-precision format to a low-precision format. The method in the present disclosure can ensure the precision of data processing as high as possible while reducing the amount of data processing. In addition, the method also helps to significantly reduce the amount of data transmission, thereby greatly accelerating the data exchange among a plurality of computing devices.
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公开(公告)号：US20200183752A1
公开(公告)日：2020-06-11
申请号：US16720145
申请日：2019-12-19
发明人： Shaoli LIU , Yuzhe LUO , Xiaofu MENG , Xishan ZHANG , Xinkai SONG
摘要： The present disclosure provides a computation method and product thereof. The computation method adopts a fusion method to perform machine learning computations. Technical effects of the present disclosure include fewer computations and less power consumption.
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公开(公告)号：US20220222041A1
公开(公告)日：2022-07-14
申请号：US17564761
申请日：2021-12-29
发明人： Yao ZHANG , Guang JIANG , Xishan ZHANG , Shiyi ZHOU , Di HUANG , Chang LIU , Jiaming GUO
摘要： Embodiments of the present disclosure relate to a method and an apparatus for processing data, and related products. The embodiments of the present disclosure relate to a board card, which includes a storage component, an interface apparatus, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface apparatus respectively. The storage component is used to store data, the interface apparatus is used to realize data transmission between the artificial intelligence chip and an external device; and the control component is used to monitor a state of the artificial intelligence chip. The board card may be used to perform artificial intelligence computations.
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公开(公告)号：US20220121908A1
公开(公告)日：2022-04-21
申请号：US17565008
申请日：2021-12-29
发明人： Yao ZHANG , Guang JIANG , Xishan ZHANG , Shiyi ZHOU , Di HUANG , Chang LIU , Jiaming GUO
摘要： Embodiments of the present disclosure relate to a method and an apparatus for processing data, and related products. The embodiments of the present disclosure relate to a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip, where the artificial intelligence chip is connected to the storage component, the control component and the interface apparatus respectively. The storage component is used to store data; the interface apparatus is used to realize data transmission between the artificial intelligence chip and the external device. The control component is used to monitor a state of the artificial intelligence chip. The board card may be used to perform artificial intelligence computations.
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公开(公告)号：US20220156562A1
公开(公告)日：2022-05-19
申请号：US17440479
申请日：2020-03-20
发明人： Shaoli LIU , Xishan ZHANG
IPC分类号： G06N3/04
摘要： A neural network operation module, which comprises a storage unit that stores output neurons, weight precision and output neuron gradient precision of a multi-layer neural network; a controller unit that obtains an average value Y1 of the absolute value of the output neuron before fixed-point and an average value Y2 of the absolute value of the output neuron after fixed-point; if Y1/Y2 is greater than a preset threshold K, obtaining the output neuron gradient precision of adjacent two layers of the multi-layer neural network, and obtaining an estimation value An of error transfer precision; when An is greater than a preset precision Ar, the output neuron gradient precision and weight precision of the adjacent two layers are increased; and an operation unit that represents the output neuron gradient and weight of the adjacent two layers according to the increased precision.
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公开(公告)号：US20200160163A1
公开(公告)日：2020-05-21
申请号：US16720171
申请日：2019-12-19
发明人： Shaoli LIU , Yuzhe LUO , Xiaofu MENG , Xishan ZHANG , Xinkai SONG
摘要： The present disclosure provides a computation method and product thereof. The computation method adopts a fusion method to perform machine learning computations. Technical effects of the present disclosure include fewer computations and less power consumption.
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