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367 条记录 (耗时 0.028 秒)

    ERROR DETECTION IN CONVOLUTIONAL OPERATIONS
    31.
    发明公开
    ERROR DETECTION IN CONVOLUTIONAL OPERATIONS 审中-公开

    公开(公告)号：US20240020419A1

    公开(公告)日：2024-01-18

    申请号：US17812834

    申请日：2022-07-15

    申请人： Arm Limited

    发明人： Matthew David HADDON ,  Igor FEDOROV ,  Reiley JEYAPAUL ,  Paul Nicholas WHATMOUGH ,  Zhi-Gang LIU

    IPC分类号： G06F21/64 ,  G06F16/23 ,  G06F16/22

    CPC分类号： G06F21/64 ,  G06F16/2365 ,  G06F16/2264

    摘要： Methods and systems for detecting errors when performing a convolutional operation is provided. Predicted checksum data, corresponding to input checksum data and kernel checksum data, is obtained. The convolutional operation is performed to obtain an output feature map. Output checksum data is generated and the predicted checksum data and the output checksum data are compared, the comparing taking account of partial predicted checksum data configured to correct for a lack of padding when performing the convolution operation, wherein the partial predicted checksum data corresponds to input checksum data for a subset of the values in the input feature map and kernel checksum data for a subset of the values in the kernel.

    Relationship analysis and mapping for interrelated multi-layered datasets
    32.
    发明授权
    Relationship analysis and mapping for interrelated multi-layered datasets 有权

    公开(公告)号：US11874850B2

    公开(公告)日：2024-01-16

    申请号：US17723460

    申请日：2022-04-19

    申请人： Palantir Technologies Inc.

    发明人： Arjun Prakash ,  Becky Moore ,  Jakub Pilch

    IPC分类号： G06F16/22 ,  G06F16/26 ,  G06F16/28

    CPC分类号： G06F16/26 ,  G06F16/2264 ,  G06F16/288

    摘要： A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

    Method for managing, evaluating and improving identity governance and administration
    33.
    发明授权
    Method for managing, evaluating and improving identity governance and administration 有权

    公开(公告)号：US11836742B2

    公开(公告)日：2023-12-05

    申请号：US17209682

    申请日：2021-03-23

    申请人： Costidity, Inc.

    发明人： Vladislav Shapiro

    IPC分类号： G06F21/45 ,  G06Q30/018 ,  G06F16/22 ,  G06F16/28

    CPC分类号： G06Q30/0185 ,  G06F16/2264 ,  G06F16/285 ,  G06F21/45

    摘要： A system and related methods are disclosed for managing, evaluating and improving identity governance and administration. The system is configured to execute a method, which includes receiving, by a computing system, data associated with the identity governance and administration, classifying, by a computing system, the data associated with the identity governance and administration according to one or more rules, generating, by a computing system, a three-dimensional model using the classified data associated with the identity governance and administration, performing, by a computing system, a statistical analysis, and optionally displaying, by a computing system, the three-dimensional model or results of the statistical analysis, or both.

    MULTIDIMENSIONAL CUBE MULTIVARIATE REGRESSION
    35.
    发明公开
    MULTIDIMENSIONAL CUBE MULTIVARIATE REGRESSION 审中-公开

    公开(公告)号：US20230376472A1

    公开(公告)日：2023-11-23

    申请号：US17664227

    申请日：2022-05-20

    申请人： International Business Machines Corporation

    发明人： Kunal Sawarkar ,  Jerome Kafrouni

    IPC分类号： G06F16/22 ,  G06F16/901

    CPC分类号： G06F16/2264 ,  G06F16/2272 ,  G06F16/2246 ,  G06F16/9024

    摘要： One or more computer processors facilitate compatibility between one or more multivariate regression models and a multidimensional dataset, wherein the program instructions. The one or more computer processors extract a plurality of unidimensional chains from the multidimensional dataset. The one or more computer processors double index the plurality of extracted unidimensional chains. The one or more computer processors construct a plurality of partial fit regression trees from the double indexed unidimensional chains. The one or more computer processors, responsive to a stop criterion, calculate one or more predictions utilizing the plurality of constructed partial fit regression trees. The one or more computer processors repopulate the multidimensional dataset with the one or more calculated predictions.