TRANSLATION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230153548A1

    公开(公告)日:2023-05-18

    申请号:US17885152

    申请日:2022-08-10

    CPC classification number: G06F40/58

    Abstract: A translation method, an electronic device and a storage medium, which relate to the field of artificial intelligence technologies, such as machine learning technologies, information processing technologies, are disclosed. An implementation includes: acquiring an intermediate translation result generated by each of multiple pre-trained translation models for a to-be-translated specified sentence in a same iteration of a translation process, so as to obtain multiple intermediate translation results; acquiring a co-occurrence word based on the multiple intermediate translation results; and acquiring a target translation result of the specified sentence based on the co-occurrence word.

    REGRESSION TEST METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230153511A1

    公开(公告)日:2023-05-18

    申请号:US17884899

    申请日:2022-08-10

    Inventor: Xin JIN

    CPC classification number: G06F30/398

    Abstract: There is provided a regression test method, an electronic device and a storage medium, and relates to the field of artificial intelligence, such as artificial intelligence chips, cloud computing, intelligent voices, or the like. The method includes: when execution of any regression test is completed, determining a to-be-adjusted test case from test cases according to a current test result; and adjusting a randomization weight corresponding to a data range randomized by the to-be-adjusted test case in a current test.

    METHOD OF GENERATING PRE-TRAINING MODEL, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230145853A1

    公开(公告)日:2023-05-11

    申请号:US17980095

    申请日:2022-11-03

    Inventor: Teng XI Gang ZHANG

    CPC classification number: G06N3/08 G06K9/6262

    Abstract: A method of generating a pre-training model, an electronic device, and a storage medium, which relate to a field of an artificial intelligence technology, in particular to a field of a computer vision and deep learning technology. The method includes: determining, for each of a plurality of tasks, a performance index set corresponding to a candidate model structure set, the candidate model structure set is determined from a plurality of model structures included in a search space, and the search space is a super-network-based search space; determining, from the candidate model structure set, a target model structure according to a plurality of performance index sets, the target model structure is a model structure meeting a performance index condition, and the plurality of performance index sets correspond to the plurality of tasks respectively; and determining the target model structure as the pre-training model.

    METHOD AND APPARATUS FOR DETERMINING INFORMATION, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230139187A1

    公开(公告)日:2023-05-04

    申请号:US18089369

    申请日:2022-12-27

    Abstract: A method and apparatus for determining information are provided. An implementation of the method includes: acquiring a reference vehicle speed and an actual vehicle speed of an autonomous driving vehicle; determining feedback information based on the reference vehicle speed and the actual vehicle speed; determining vehicle speed control information based on the feedback information and disturbance observation information, where the disturbance observation information is used to indicate a disturbance quantity currently experienced by the autonomous driving vehicle; and determining target disturbance information based on vehicle speed information, the disturbance observation information and a preset estimation model.

    POSITIONING METHOD BASED ON LANE LINE AND FEATURE POINT, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230134569A1

    公开(公告)日:2023-05-04

    申请号:US18088954

    申请日:2022-12-27

    Abstract: A positioning method based on a lane line and a feature point, an electronic device, and a storage medium, which relate to fields of computer, automatic driving, intelligent transportation, computer vision. The method may include: determining first real-time measurement residuals according to first sensor information of a movable object detected, the first real-time measurement residuals including a first inertial measurement unit measurement residual, a first lane line measurement residual and a first non-lane line measurement residual; updating a state vector of the movable object according to a kinematic model of an inertial measurement unit and the first real-time measurement residuals; and determining a pose of the movable object at a time instant corresponding to the updated state vector according to a pose vector in the updated state vector.

    INFORMATION EXTRACTION METHOD AND APPARATUS, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

    公开(公告)号:US20230133717A1

    公开(公告)日:2023-05-04

    申请号:US17954900

    申请日:2022-09-28

    Abstract: Disclosed are an information extraction method, an electronic device and a readable storage medium, which relate to the field of artificial intelligence technologies, and particularly to the field of knowledge graph technologies. The information extraction method includes: acquiring to-be-processed text to obtain a semantic vector of each token in the to-be-processed text; generating a relationship prediction matrix, an entity prediction matrix and an alignment matrix according to each token in the to-be-processed text and the semantic vector of each token; and extracting a target triplet in the to-be-processed text using the relationship prediction matrix, the entity prediction matrix and the alignment matrix, and taking the target triplet as an information extraction result of the to-be-processed text.

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