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公开(公告)号：US20240338360A1
公开(公告)日：2024-10-10
申请号：US18748967
申请日：2024-06-20
Inventor： Jing QU
IPC: G06F16/23 , G06F11/34 , G06F16/2453 , G06F16/25
CPC classification number: G06F16/2386 , G06F11/3409 , G06F16/2453 , G06F16/258
Abstract: A method of querying an information, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, in particular to fields of large language model, information processing and intelligent office technologies. The method includes: acquiring a time period to be queried, a number of items to be queried and an object identification of a target object corresponding to the information query request, in response to receiving the information query request from the target object; processing the time period to be queried, the number of items to be queried, the object identification and a predetermined parameter format text to obtain a target parameter, where the target parameter represents an input parameter of a query interface of an information query system; and acquiring, by invoking the query interface, a target information from the information query system based on the target parameter.
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公开(公告)号：US12112539B2
公开(公告)日：2024-10-08
申请号：US17450158
申请日：2021-10-06
Inventor： Qi Wang , Zhifan Feng , Hu Yang , Chunguang Chai
CPC classification number: G06V20/46 , G06F18/22 , G06F18/25 , G06N3/045 , G06V10/806 , G06V20/48 , G06V20/49
Abstract: A video processing method, an electronic device and a storage medium are provided, and relate to the field of artificial intelligence, and particularly relates to the fields of deep learning, model training, knowledge mapping, video processing and the like. The method includes: acquiring a plurality of first video frames, and performing fine-grained splitting on the plurality of first video frames to obtain a plurality of second video frames; performing feature encoding on the plurality of second video frames according to multi-mode information related to the plurality of second video frames, to obtain feature fusion information for characterizing fusion of the multi-mode information; and performing similarity matching on the plurality of second video frames according to the feature fusion information, and obtaining a target video according to a result of the similarity matching.
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公开(公告)号：US20240303962A1
公开(公告)日：2024-09-12
申请号：US18020914
申请日：2022-04-22
Inventor： Bi LI , Nan PENG , Teng XI , Gang ZHANG
Abstract: A method of determining an image feature, an electronic device, and a storage medium are provided, which relate to the field of artificial intelligence technology, in particular to fields of computer vision and depth learning technology, and may be applied to scenarios such as image processing and image recognition. The method includes: dividing an original image into a plurality of local images as an image to be processed, and each local image includes a plurality of image blocks; determining a local feature of the image to be processed according to a relationship between each image block in each local image; and determining a global feature of the image to be processed according to a relationship between a first image block at a preset position in a local image and one or more second image blocks at the preset position in other local images of the plurality of local images.
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624.发明授权公开(公告)号：US12056492B2
公开(公告)日：2024-08-06
申请号：US17780940
申请日：2021-08-27
Inventor： Jiaxun Wei , Yuxuan Huo , Cong Zhang , Hui Tang , Ze Chen
CPC classification number: G06F9/3838 , G06F9/541
Abstract: A method of generating a dependence graph, an apparatus, a device, a storage medium and a program product are provided. The method includes: obtaining a hook API used by a function component; obtaining a parameter value of the hook API used by the function component; and generating a dependence graph. The hook API corresponds to a hook node in the dependence graph, the parameter value corresponds to a value node in the dependence graph, and there is a connection relationship between the value node and a corresponding hook node.
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公开(公告)号：US20240248916A1
公开(公告)日：2024-07-25
申请号：US17923202
申请日：2021-11-30
Inventor： Zhangwei MENG , Shixi DONG , Chaoyu SHI , Bingqiao MA
CPC classification number: G06F16/29 , G06F16/2365 , G06F16/2379
Abstract: This disclosure provides a map data updating method, a map data updating apparatus and an electronic device, and relates to the field of map technology. The method includes: obtaining update information of first map data, and a mapsheet in the first map data that corresponds to the update information; performing, based on a spatial update range of the update information, clipping processing on target data of the mapsheet to obtain first target mapsheet data, the first target mapsheet data including data in the target data that is within the spatial update range; updating, based on the first target mapsheet data and the update information, the first map data.
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Patent Agency Ranking
公开(公告)号：US20240246575A1
公开(公告)日：2024-07-25
申请号：US18606329
申请日：2024-03-15
Inventor： Jizhou HUANG , Fan WANG
CPC classification number: B60W60/0027 , B60W50/0097 , G06N3/08 , B60W2556/10
Abstract: An autonomous driving method implemented by using an automatic driving model is provided. The autonomous driving model comprises a multimodal encoding layer and a decision control layer. The autonomous driving method includes: obtaining first input information of the multimodal encoding layer; inputting the first input information into the multimodal encoding layer to obtain an implicit representation corresponding to the first input information output by the multimodal encoding layer; and inputting second input information including the implicit representation into the decision control layer to obtain target autonomous driving strategy information output by the decision control layer.
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公开(公告)号：US12033615B2
公开(公告)日：2024-07-09
申请号：US17499129
申请日：2021-10-12
Inventor： Yinlou Zhao , Liao Zhang , Zhengxiang Jiang
CPC classification number: G10L15/005 , G10L15/142 , G10L15/16 , G10L15/26
Abstract: The disclosure provides a method and an apparatus for recognizing a speech, an electronic device and a storage medium. A speech to be recognized is obtained. An acoustic feature of the speech to be recognized and a language feature of the speech to be recognized are obtained. The speech to be recognized is input to a pronunciation difference statistics to generate a differential pronunciation pair corresponding to the speech to be recognized. The text information of the speech to be recognized is generated based on the differential pronunciation pair, the acoustic feature and the language feature.
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公开(公告)号：US20240223481A1
公开(公告)日：2024-07-04
申请号：US17800849
申请日：2021-12-08
Inventor： Xuelian WANG , Shaomei WU , Fuwen LIANG
IPC: H04L43/0817 , H04L41/0681 , H04L43/16
CPC classification number: H04L43/0817 , H04L41/0681 , H04L43/16
Abstract: A content delivery network processing method includes: obtaining response data from at least one CDN node in response to a network request from a detection end, the response data including information indicating that the network request is successful or failed; calculating the quantity of detection successes and the quantity of detection failures of the detection end corresponding to the at least one CDN node in accordance with the response data; calculating a detection failure rate of the detection end in accordance with the quantity of detection successes and the quantity of detection failures; and comparing at least one of the detection failure rate or the quantity of detection failures with a target threshold, and determining whether the detection end is faulty in accordance with a comparison result.
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629.发明公开公开(公告)号：US20240221727A1
公开(公告)日：2024-07-04
申请号：US18266432
申请日：2022-09-01
Inventor： Lanhua YOU , Lei JIA , Qi ZHANG , Zhengxiang JIANG
CPC classification number: G10L15/063 , G10L15/01 , G10L15/02 , G10L15/16
Abstract: The present disclosure provides a voice recognition model training method and apparatus, an electronic device and a storage medium, relating to the field of artificial intelligence technology, and in particular to the fields such as deep learning and voice recognition. The specific implementation scheme includes constructing a negative sample according to a positive sample to obtain a target negative sample for constraining a voice decoding path; obtaining training data according to the positive sample and the target negative sample; and training a first voice recognition model according to the training data to obtain a second voice recognition model.
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630.发明公开公开(公告)号：US20240221401A1
公开(公告)日：2024-07-04
申请号：US17920966
申请日：2022-05-31
Inventor： Zhi YE , Xin TANG , Hewei WANG , Li GE
CPC classification number: G06V20/70 , G06V10/44 , G06V10/806 , G06V20/49
Abstract: The present disclosure provides a method of training a video tag recommendation model, a method of determining a video tag, an electronic device, and a storage medium. The video tag recommendation model includes a video feature extraction network and a tag feature extraction network. The method of training the video tag recommendation model includes: obtaining a first video feature of a video sample by using the video feature extraction network; inputting a first tag as a positive sample to the tag feature extraction network, so as to obtain a first feature of the first tag; inputting a second tag as a negative sample to the tag feature extraction network, so as to obtain a second feature of the second tag; and training the video tag recommendation model according to the first video feature, the first feature, the second feature, and a predetermined loss function.
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