Similarity analysis using enhanced MinHash

    公开(公告)号:US11921687B2

    公开(公告)日:2024-03-05

    申请号:US16436770

    申请日:2019-06-10

    摘要: A first set and a second set are identified as operands for a set operation of a similarity analysis task iteration. Using respective minimum hash information arrays and contributor count arrays of the two sets, a minimum hash information array and contributor count array of a derived set resulting from the set operation is generated. An entry in the contributor count array of the derived set indicates the number of child sets of the derived set that meet a criterion with respect to a corresponding entry in the minimum hash information array of the derived set. The generated minimum hash information array and the contributor count array are stored as part of input for a subsequent iteration. After a termination criterion of the task is met, output of the task is stored.

    Artificial intelligence accountability platform and extensions

    公开(公告)号:US11915179B2

    公开(公告)日:2024-02-27

    申请号:US16792137

    申请日:2020-02-14

    申请人: TALISAI INC.

    摘要: Systems and methods of improving AI governance are disclosed. One or more sub-contexts associated with a plurality of users are generated from one or more data sources. The one or more sub-contexts represent one or more changes in data that are relevant to assessing one or more risks associated with the plurality of users. One or more sub-contexts are provided as training data to a plurality of models. Each of the models is associated with a confidence score. A probabilistic assessment of the one or more risks associated with the plurality of users is generated based on an application of the plurality of models to additional data pertaining to the plurality of users received in real time. The probabilistic assessment is presented in a dashboard user interface, the dashboard user interface having user interface elements configured to provide insight into how the probabilistic assessment was generated.

    Dynamic probabilistic motion planning

    公开(公告)号:US11911908B2

    公开(公告)日:2024-02-27

    申请号:US16229484

    申请日:2018-12-21

    摘要: Techniques and systems are disclosed for using swept volume profile data cached in association with a PRM to improve various aspects of motion planning for a robot. In some implementations, a first probabilistic road map representing possible paths to be travelled by a robot within a physical area is generated. An initial path for the robot within the first probabilistic road map is determined. Data indicating a second probabilistic road map representing a path to be travelled by a movable object within the physical area is obtained. A potential obstruction associated with one or more edges included in the subset of edges is detected. An adjusted path for the robot within the first probabilistic road map is then determined based on the potential obstruction.

    Facilitating efficient identification of relevant data

    公开(公告)号:US11907232B2

    公开(公告)日:2024-02-20

    申请号:US17146651

    申请日:2021-01-12

    申请人: ADOBE INC.

    摘要: The present technology provides for facilitating efficient identification of relevant metrics. In one embodiment, a set of candidate metrics for which to determine relevance to a user is identified. For each candidate metric, a set of distribution parameters is determined, including a first distribution parameter based on implicit positive feedback associated with the metric and usage data associated with the metric and a second distribution parameter based on the usage data associated with the metric. Such usage data can efficiently facilitate identifying relevance even with an absence of negative feedback. Using the set of distribution parameters, a corresponding distribution is generated. Each distribution can then be sampled to identify a relevance score for each candidate metric indicating an extent of relevance of the corresponding metric. Based on the relevance scores for each candidate metric, a candidate metric is designated as relevant to the user.

    METHOD AND SYSTEM FOR PROGRAMMATICALLY TESTING USER INTERFACE PATHS

    公开(公告)号:US20240054069A1

    公开(公告)日:2024-02-15

    申请号:US18384947

    申请日:2023-10-30

    IPC分类号: G06F11/36 G06F17/18 G06N3/045

    摘要: A computer system for testing a user interface includes a memory circuit and a processor circuit configured to execute instructions including obtaining a state of the user interface. The instructions include setting a current position to a specified location within the user interface. The instructions include executing user interface tests to generate multiple paths. The instructions include determining a shortest path toward a goal location by identifying a path having a minimum distance that satisfies criteria. A distance for the path is based on two-dimensional distances between pairs of consecutive positions that include the current position as well as positions, along the particular path, of user interface elements requiring interaction to satisfy the criteria. The instructions including generating a preferred path based on preferred path information indicative of a specified path toward the goal location, comparing the determined shortest path to the generated preferred path, and outputting an analysis result.