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公开(公告)号：US11977567B2
公开(公告)日：2024-05-07
申请号：US17837347
申请日：2022-06-10
Inventor： Yuqing Sun , Shichen Shao , Yongheng Li , Renhua Zou , Fei Xu , Chengzhi Fang , Gang Wang
IPC: G06F16/00 , G06F16/31 , G06F16/332 , G06F16/38 , G06F40/30
CPC classification number: G06F16/3329 , G06F16/319 , G06F16/38 , G06F40/30
Abstract: A method of retrieving a query, an electronic device, and a medium are provided, which relate to fields of intelligent searching, intelligent recommendation, natural language processing, etc. The method of retrieving a query includes: processing a query to be retrieved, so as to obtain a first processing result for the query to be retrieved, the first processing result containing a first text information and a first semantic information; comparing the first processing result with a second processing result of each of at least one candidate query, so as to obtain a comparison result, the second processing result containing a second text information and a second semantic information; determining a target query from the at least one candidate query based on the comparison result; and determining at least one of the target query or an answer corresponding to the target query as a retrieving result.
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642.发明公开公开(公告)号：US20240119330A1
公开(公告)日：2024-04-11
申请号：US18323026
申请日：2023-05-24
IPC: G06N10/20
CPC classification number: G06N10/20
Abstract: Provided is a method for determining a degree of quantum entanglement, a computing device and a storage medium. The method includes: determining a target parameter value of a target adjustable parameter in a sub-circuit of a target quantum circuit, obtaining state information of the auxiliary register in the target quantum circuit, in a case of the target adjustable parameter has the target parameter value, a first input state of the auxiliary register is a preset initial state, and a second input state of the main register includes at least the first quantum state; estimating the k-order trace of the first quantum state under the first error condition based on the state information of the auxiliary register; and determining a degree of entanglement corresponding to the first quantum state based on at least the k-order trace of the first quantum state.
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公开(公告)号：US11947842B2
公开(公告)日：2024-04-02
申请号：US17896811
申请日：2022-08-26
Inventor： Zhengli Yi
IPC: G06F3/06
CPC classification number: G06F3/0659 , G06F3/0604 , G06F3/0647 , G06F3/0676
Abstract: The present disclosure provides a method and apparatus for writing data in an append mode, a device and a storage medium. The present disclosure relates to the field of cloud storage technology, and can be applied to a cloud platform. The method includes: acquiring to-be-written data, and writing the to-be-written data into a magnetic disk; writing first index information of the to-be-written data in a memory; storing, in response to determining that the number of pieces of second index information is greater than a first preset threshold, the second index information into storage hardware, the second index information including the first index information; and writing first identifier information corresponding to the second index information in the memory.
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644.发明公开公开(公告)号：US20240104921A1
公开(公告)日：2024-03-28
申请号：US18003474
申请日：2022-05-23
Inventor： Suhui Yang , Lei Nie , Huihui Xiao
IPC: G06V10/98 , G06T7/00 , G06V10/774 , G06V20/40 , G06V20/52 , G06V30/262
CPC classification number: G06V10/98 , G06T7/0004 , G06V10/774 , G06V20/46 , G06V20/52 , G06V30/262 , G06T2207/30108
Abstract: A method for recognizing product detection missed is performed by an electronic device. The method includes: obtaining a surveillance video collected by a surveillance device on a product production line; generating product detection results by inputting video frames of the surveillance video into a product detection model; generating detecting action recognition results by inputting the video frames of the surveillance video into an action recognition model; and determining whether product detection is missed based on the product detection results and the detecting action recognition results.
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645.发明公开公开(公告)号：US20240104906A1
公开(公告)日：2024-03-28
申请号：US18099551
申请日：2023-01-20
Inventor： Xuhong Li , Jiamin Chen , Haoyi Xiong , Dejing Dou
IPC: G06V10/776
CPC classification number: G06V10/776
Abstract: Provided is a model interpretation method, an image processing method, an electronic device and a storage medium, relating to the field of artificial intelligence, in particular to the field of deep learning. The model interpretation method includes: obtaining a token vector corresponding to an image feature input to a first model; obtaining a model prediction result output by the first model; and determining, according to a combination of an attention weight and a gradient, an association relation between the token vector input to the first model and the model prediction result output by the first model, where the association relation is used to characterize interpretability of the first model.
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Patent Agency Ranking
公开(公告)号：US20240098037A1
公开(公告)日：2024-03-21
申请号：US18100303
申请日：2023-01-23
Inventor： Yugang Ke , Chongming Gu , Zhoufeng Wang , Junwen Gao , Weihui Liu , Minglu Li , Feifei Cao , Yongqiang Wu , Xiaoen Zhu
Abstract: Provided is a multimedia data stream processing method, an electronic device and a storage medium, relating to the field of artificial intelligence, and specifically, to the technical fields of cloud computing, media cloud technology, and the like, which may be applied to scenes such as smart cloud. The multimedia data stream processing method includes: allocating a plurality of sub-streams of a multimedia data stream to a plurality of edge resource nodes, where the multimedia data stream is segmented into a plurality of slices and each of the plurality of sub-streams includes a part of the plurality of slices of the multimedia data stream; and scheduling the plurality of edge resource nodes to provide the plurality of sub-streams of the multimedia data stream for a terminal device.
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公开(公告)号：US20240095869A1
公开(公告)日：2024-03-21
申请号：US18115125
申请日：2023-02-28
Inventor： Zeen LI
CPC classification number: G06T1/20 , G06F9/5044
Abstract: An information acquisition method and apparatus, an electronic device, and a storage medium are suggested, which relates to the field of artificial intelligence (AI) such as machine learning and distributed storage. The method may include: determining hardware devices located on a to-be-processed node in response to determining that a trigger condition is met; selecting an x processing unit (XPU) from the hardware devices; and acquiring predetermined information of the XPU by using a system management interface (SMI) management tool corresponding to the XPU, the predetermined information including model information of the XPU.
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公开(公告)号：US11928563B2
公开(公告)日：2024-03-12
申请号：US17355347
申请日：2021-06-23
Inventor： Xingjian Li , Haoyi Xiong , Dejing Dou
IPC: G06N20/00 , G06F18/214 , G06F18/22 , G06F18/24 , G06F18/25 , G06N5/04 , G06V10/774 , G06V10/82 , G06V10/84
CPC classification number: G06N20/00 , G06F18/214 , G06F18/22 , G06F18/24 , G06F18/251 , G06N5/04 , G06V10/774 , G06V10/82 , G06V10/84
Abstract: The present application provides a model training, image processing method, device, storage medium, and program product relating to deep learning technology, which are able to screen auxiliary image data with image data for learning a target task, and further fuse the target image data and the auxiliary image data, so as to train a built and to-be-trained model with the fusion-processed fused image data. This implementation can increase the amount of data for training the model, and the data for training the model is determined is based on the target image data, which is suitable for learning the target task. Therefore, the solution provided by the present application can train an accurate target model even if the amount of target image data is not sufficient.
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649.发明公开公开(公告)号：US20240061986A1
公开(公告)日：2024-02-22
申请号：US18386528
申请日：2023-11-02
Inventor： Yuxuan WANG , Lijing Jin
IPC: G06F30/392 , G06N10/40
CPC classification number: G06F30/392 , G06N10/40
Abstract: The present disclosure provides a method and apparatus for coupling a superconducting qubit. The method includes: determining a target coupling strength between a target read cavity and a qubit, a first target frequency of the qubit, and a second target frequency of the target read cavity; initializing a read coupling port configuration layout based on a configuration of the qubit, a relative position of the qubit to the target read cavity; calculating a to-be-measured coupling strength between the qubit and the read coupling port, based on the read coupling port configuration layout, the first target frequency, and the second target frequency; and in response to detecting that the to-be-measured coupling strength and the target coupling strength satisfy a preset condition, generating, based on the second target frequency and the read coupling port configuration layout, a complete layout comprising the qubit and the target read cavity.
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公开(公告)号：US20240061720A1
公开(公告)日：2024-02-22
申请号：US18102838
申请日：2023-01-30
Inventor： Jinshuai LIU , Peilong WANG , Yan WANG , Hu LI , Fei CHEN
IPC: G06F9/50
CPC classification number: G06F9/5072 , G06F9/5077
Abstract: A cloud computing resource extension method, a Smart Local Compute Cluster (SLCC), and a storage medium are suggested, which relate to the field of artificial intelligence. The method of cloud computing resource extension includes: acquiring registration information of an extended Availability Zone (AZ), the extended AZ being located in a user's local computer room; sending the registration information to a public cloud, the public cloud being configured to register, based on the registration information, the extended AZ with an AZ set managed and controlled by the public cloud and generate deployment information of a target cloud service pre-designated by the user; receiving the deployment information sent by the public cloud; and deploying the target cloud service in the extended AZ based on the deployment information.
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