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公开(公告)号:US11921687B2
公开(公告)日:2024-03-05
申请号:US16436770
申请日:2019-06-10
IPC分类号: G06F16/22 , G06F17/18 , G06F18/22 , G06F18/231
CPC分类号: G06F16/2228 , G06F17/18 , G06F18/22 , G06F18/231
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.
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公开(公告)号:US11921421B2
公开(公告)日:2024-03-05
申请号:US18062231
申请日:2022-12-06
发明人: Jeongjin Lee , Minseok Kang , Seungyoon Lee , Chan Hwang
CPC分类号: G03F1/70 , G03F7/2004 , G06F17/18 , H01L22/12
摘要: An overlay correcting method capable of optimizing correction of an overlay within a scanner correction limit of a scanner of a scanner system, and a photolithography method, a semiconductor device manufacturing method and the scanner system which are based on the overlay correcting method are provided. The overlay correcting method includes collecting overlay data by measuring an overlay of a pattern; calculating correction parameters of the overlay by performing regularized regression using the overlay data, the regularized regression being based on a correction limit of the scanner such that the correction parameters fall within the correction limit of the scanner; and providing the correction parameters to the scanner.
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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.
IPC分类号: G06N20/20 , G06Q10/0635 , G06F3/0482 , G06F17/18
CPC分类号: G06Q10/0635 , G06F3/0482 , G06F17/18 , G06N20/20
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.
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公开(公告)号:US11914605B2
公开(公告)日:2024-02-27
申请号:US18149599
申请日:2023-01-03
发明人: Ankit Shankar , Kirat Singh , Kayo Teramoto , Lucas Lemanowicz , Thomas Hasner
IPC分类号: G06F16/24 , G06F16/2458 , H04W4/38 , G06F9/451 , G06F16/26 , G06F16/242 , G06F16/335 , H04L67/12 , G06F17/18
CPC分类号: G06F16/2477 , G06F9/451 , G06F16/244 , G06F16/2465 , G06F16/26 , G06F16/335 , H04L67/12 , H04W4/38 , G06F17/18
摘要: A system includes a communications interface configured to receive a plurality of data series captured by a plurality of sensors. A first database includes at least a first data series of the plurality of data series. A second database includes metadata related to the first data series. One or more processors are configured to receive an instruction including an indication of a computation to perform and metadata filter criteria, query the second database to determine at least a portion of the first data series that satisfies the metadata filter criteria by reference to at least the metadata related to the first data series, access, from the first database and based on results of the query of the second database, the portion of the first data series, and perform the computation on the portion of first data series accessed from the first database.
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公开(公告)号:US11911908B2
公开(公告)日:2024-02-27
申请号:US16229484
申请日:2018-12-21
发明人: Jean-Francois Dupuis , Keegan Go , Michael Hemmer
CPC分类号: B25J9/1666 , G05D1/0214 , G05D1/0274 , G05D1/0289 , G06F17/18 , G05D1/0088 , G05D1/0212
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.
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86.
公开(公告)号:US20240061760A1
公开(公告)日:2024-02-22
申请号:US18497496
申请日:2023-10-30
申请人: UiPath, Inc.
发明人: Prabhdeep Singh , Anton McGonnell
CPC分类号: G06F11/327 , G06F11/302 , G06F17/18 , G06N20/00
摘要: Probabilistic models may be used in a deterministic workflow for robotic process automation (RPA). Machine learning (ML) introduces a probabilistic framework where the outcome is not deterministic, and therefore, the steps are not deterministic. Deterministic workflows may be mixed with probabilistic workflows, or probabilistic activities may be inserted into deterministic workflows, in order to create more dynamic workflows. A supervisor system may be used to monitor an ML model and raise an alarm, disable an RPA robot, bypass an RPA robot, or roll back to a previous version of the ML model when an error is detected by a data drift detector, a concept drift detector, or both.
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公开(公告)号:US11907836B2
公开(公告)日:2024-02-20
申请号:US16932078
申请日:2020-07-17
申请人: SOURCEWATER, INC.
发明人: Joshua Adler
CPC分类号: G06N3/08 , G06F17/18 , G06N3/047 , G06T17/05 , G06V10/764 , G06V10/82 , G06V20/176
摘要: A computer-implemented method for processing images to determine EI site status is provided. The method includes image processing of an aerial image by two EI feature recognition models. A first EI feature recognition model recognizes a first EI feature and a second EI feature recognition model recognizes a second EI feature. The results of each model are further used to determine a composite indication of EI site status.
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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.
发明人: Wei Zhang , Christopher Challis
IPC分类号: G06F16/00 , G06F16/2457 , G06F17/18 , H04L67/306 , H04L67/50
CPC分类号: G06F16/24578 , G06F17/18 , H04L67/306 , H04L67/535
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.
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89.
公开(公告)号:US11904399B2
公开(公告)日:2024-02-20
申请号:US17106191
申请日:2020-11-30
发明人: Chia-Ming Jan , Wen-Chieh Wu
CPC分类号: B23H7/20 , B23H1/024 , B23H11/00 , G06F17/18 , B23H2600/00 , G05B2219/45221
摘要: An online prediction method of tool-electrode consumption adapted for an electrical discharge machining (EDM) apparatus includes an experimental design; extracting electrode consumption variables from machining parameters of the electrical discharge machining (EDM) apparatus; and obtaining a correlation between the machining parameters and the electrode consumption variables through a correlation analysis to obtain a prediction model capable of predicting an effective contact area of a tool-electrode and a workpiece. In addition, a prediction method of machining accuracy is provided.
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公开(公告)号:US20240054069A1
公开(公告)日:2024-02-15
申请号:US18384947
申请日:2023-10-30
CPC分类号: G06F11/3688 , G06F17/18 , G06F11/3664 , 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.
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