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421.发明公开公开(公告)号：US20230185702A1
公开(公告)日：2023-06-15
申请号：US17856091
申请日：2022-07-01
Inventor： Tian WU , Yanjun MA , Dianhai YU , Yehua YANG , Yuning DU
CPC classification number: G06F11/3688 , G06N3/08
Abstract: A method and apparatus is provided for generating and applying a deep learning model based on a deep learning framework, and relates to the field of computers. A specific implementation solution includes that a basic operating environment is established on a target device, where the basic operating environment is used for providing environment preparation for an overall generation process of a deep learning model; a basic function of the deep learning model is generated in the basic operating environment according to at least one of a service requirement and a hardware requirement, to obtain a first processing result; an extended function of the deep learning model is generated in the basic operating environment based on the first processing result, to obtain a second processing result; and a preset test script is used to perform function test on the second processing result, to output a test result.
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422.发明公开公开(公告)号：US20230178100A1
公开(公告)日：2023-06-08
申请号：US18074681
申请日：2022-12-05
Inventor： Chunming DU , Yongle WANG , Lifeng ZHAO , Dan WANG , Qiang CHENG , Mushui XU , Pengwei LI
Abstract: Provided are a tail point detection method and apparatus, a device, and a storage medium. The implementation scheme includes acquiring a target audio; identifying a sentence pattern type of the target audio; determining detection waiting duration according to the sentence pattern type; and determining a result of detecting a tail point of the target audio according to the detection waiting duration.
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423.发明公开公开(公告)号：US20230177749A1
公开(公告)日：2023-06-08
申请号：US18077032
申请日：2022-12-07
Inventor： Changjun SHENG , Xiangxiao KONG , Juntao TONG , Yi ZENG
IPC: G06T11/20
CPC classification number: G06T11/203
Abstract: Provided are a method for determining drawing data of a map element, an electronic device, and a non-transitory computer-readable storage medium. The specific implementation scheme includes determining a reference point position of a non-link element according to a relationship between the non-link element and adjacent link elements in an electronic map and based on lane edge positions of the adjacent link elements; determining a direction of the non-link element according to the relationship between the non-link element and the adjacent link elements; and determining drawing data of the non-link element according to the reference point position and the direction of the non-link element, where the drawing data is used for drawing and rendering an image of the non-link element in a link when the drawing data is loaded by a map interface.
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424.发明公开公开(公告)号：US20230177359A1
公开(公告)日：2023-06-08
申请号：US18063348
申请日：2022-12-08
Inventor： Sijin WU , Han LIU , Teng HU , Shikun FENG , Yongfeng CHEN
IPC: G06N5/022 , G06F40/174 , G06F40/205
CPC classification number: G06N5/022 , G06F40/174 , G06F40/205 , G06F40/30
Abstract: The present disclosure provides a method and apparatus for training a document information extraction model and method and apparatus for extracting document information, and relates to the field of artificial intelligence, and more particularly to the field of natural language processing. A specific implementation solution is: acquiring training data labeled with an answer corresponding to a preset question and a document information extraction model, the training data includes layout document training data and streaming document training data; extracting at least one feature from the training data; fusing at least one feature to obtain a fused feature; inputting the preset question, the fused feature and the training data into the document information extraction model to obtain a predicted result; and adjusting network parameters of the document information extraction model based on the predicted result and the answer.
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公开(公告)号：US11668831B2
公开(公告)日：2023-06-06
申请号：US17137470
申请日：2020-12-30
Inventor： Wendong Ding , Fan Yi , Li Yu , Pengfei Yuan , Shiyu Song
CPC classification number: G01S17/894 , G01S17/06 , G06T7/521 , G06T7/70 , G06V20/56 , G06V20/647 , G06V40/23 , G06T2207/10028 , G06T2207/30252
Abstract: The present application discloses a high-precision mapping method and device, which relates to the field of autonomous driving. A specific implementation includes: acquiring global initial poses of multiple point clouds, where the point clouds are point clouds of a location for which a map is to be built and are collected by a lidar using a multi-circle collection mode; dividing the multiple point clouds into multiple spatial submap graphs according to a spatial distribution relationship of the multiple point clouds; optimizing, for each spatial submap graph, global initial poses of point clouds belonging to the spatial submap graph to acquire global poses of the point clouds in each spatial submap graph; and stitching the multiple spatial submap graphs together according to global poses of the point clouds in the multiple spatial submap graphs to acquire a base graph of the map to be built.
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Patent Agency Ranking
公开(公告)号：US20230172076A1
公开(公告)日：2023-06-01
申请号：US18095994
申请日：2023-01-11
Inventor： Hanzhe XI , Zhengyi Cui , Lijing Jin
CPC classification number: H10N60/12 , G06N10/40 , H10N60/805
Abstract: A quantum chip is provided, includes: a first substrate and a second substrate arranged opposite to each other, wherein a plurality of qubits and a plurality of first controllers are arranged on a surface of the first substrate facing the second substrate, each of the plurality of qubits is coupled with at least one of the plurality of first controllers, and a plurality of control signal transmission parts are arranged on a surface of the second substrate facing the first substrate; and a plurality of connecting pieces, connected between the first substrate and the second substrate, and configured to connect the plurality of first controllers to the plurality of control signal transmission parts in a one-to-one corresponding mode.
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公开(公告)号：US20230171179A1
公开(公告)日：2023-06-01
申请号：US18056328
申请日：2022-11-17
Inventor： Minghe QIAO , Chaoping JI
IPC: H04L43/50
CPC classification number: H04L43/50
Abstract: A method for testing a pressure, an electronic device and a storage medium. A start command for testing pressure is received. In response to the start command, a Mirror Disc File MDF is obtained, in which the MDF includes a pressure engine and basic configuration information. A plurality of pressure containers is created based on the MDF. Pressure test is performed on the intranet services by the plurality of pressure containers.
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公开(公告)号：US20230170606A1
公开(公告)日：2023-06-01
申请号：US18153298
申请日：2023-01-11
Inventor： He LIU , Kuang HU , Jing ZHAO , Chao MA , Xitong WANG
CPC classification number: H01Q1/325 , B60R11/04 , G01S17/86 , G01S7/4811 , B60R2011/004
Abstract: A vehicle frame and a vehicle are provided. The vehicle frame includes the vehicle frame includes a frame body and an antenna device, and the frame body includes a plurality of supporting beams fixedly connected and is further provided with a protection part; and the antenna device is mounted on the frame body, and the protection part is disposed outside the antenna device, to block the antenna device from an object in an external environment.
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公开(公告)号：US20230164446A1
公开(公告)日：2023-05-25
申请号：US17885035
申请日：2022-08-10
Inventor： Shengyu WEI , Yuning DU , Cheng CUI , Ruoyu GUO , Shuilong DONG , Bin LU , Tingquan GAO , Qiwen LIU , Xiaoguang HU , Dianhai YU , Yanjun MA
CPC classification number: H04N5/2353 , G06T7/11 , G06T7/80 , G02F1/13306 , G06T2207/20081
Abstract: An imaging exposure control method and apparatus, a device and a storage medium, which relate to the field of artificial intelligence technologies, such as machine learning technologies and intelligent imaging technologies, are disclosed. An implementation includes performing semantic segmentation on a preformed image to obtain semantic segmentation images of at least two semantic regions; estimating an exposure duration of each semantic region based on the semantic segmentation image and the preformed image; and controlling exposure of each semantic region during imaging based on the exposure duration of each semantic region.
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公开(公告)号：US20230162722A1
公开(公告)日：2023-05-25
申请号：US18052155
申请日：2022-11-02
Inventor： Chao LI
CPC classification number: G10L15/063 , G06N5/022 , G10L15/22 , G10L15/1815 , G10L15/30
Abstract: A model training method is provided. An implementation solution is: determining reference classification and reference confidence of sample data, wherein the reference classification and the reference confidence are obtained by utilizing a plurality of classifiers to classify the sample data; inputting the sample data into a to-be-trained model to obtain a first predicted classification and a first confidence output by the to-be-trained model; and adjusting parameters of the to-be-trained model based on at least the reference classification and the reference confidence of the sample data, and the first predicted classification and the first confidence.
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