Automatic user permission refinement through cluster-based learning

    公开(公告)号:US11489839B2

    公开(公告)日:2022-11-01

    申请号:US16264624

    申请日:2019-01-31

    Abstract: Clustering-based machine learning is utilized to generate and update permissions data in a computing system. The computing system logs permissions-related user activity for users of the system over time. Feature vectors are generated for the users based on the logs, where each feature corresponds to a specific permission or permission-related operation of the system. A clustering-based learning algorithm analyzes the feature vectors and generates clusters of similar users based on their feature vectors. The permissions of the users may be updated to reflect attributes of the clusters to which they were assigned. For example, the clusters may be utilized to seed and/or update access control groups or other permissions-related user groups in the system. Or, some or all permissions not used by any users within a cluster over a recent period of time may be automatically removed from any user in the cluster.

    Artificial intelligence delivery edge network

    公开(公告)号:US11386339B2

    公开(公告)日:2022-07-12

    申请号:US16286471

    申请日:2019-02-26

    Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

    Method and device for intra-prediction

    公开(公告)号:US11350125B2

    公开(公告)日:2022-05-31

    申请号:US17138426

    申请日:2020-12-30

    Abstract: The multi sample prediction method of the present invention comprises the steps of: determining a sample group consisting of a plurality of samples inside a decoding target block; determining a representative position corresponding to the sample group, inside the decoding target block; determining a representative prediction value for the sample group, on the basis of the determined representative position; and determining the determined representative prediction value as the final prediction value for each of the plurality of samples making up the sample group. The present invention enhances efficiency in encoding/decoding and reduces complexity thereof.

    Controlling executions of synchronous and/or non-synchronous operations with asynchronous messages

    公开(公告)号:US11341031B2

    公开(公告)日:2022-05-24

    申请号:US16664733

    申请日:2019-10-25

    Abstract: Based on a test step execution order for a test case such as one against a database system, a specific test step to be executed next is identified. In response to identifying the specific test step, a test step message is published to indicate that the specific test step is to be executed next, which causes a subscriber of the test step message to execute the specific test step. In response to determining that the specific test step has ended, a dependent test step message is published accordingly to cause a subscriber of the dependent test step message to perform: determining whether a next test step should be executed following the specific test step in the test step execution order; in response to determining that a next test step should be executed, the foregoing may be repeated by using the next test step in place of the specific test step.

    Method and system for managing and executing serverless functions in a messaging service

    公开(公告)号:US11275635B2

    公开(公告)日:2022-03-15

    申请号:US17017586

    申请日:2020-09-10

    Applicant: Nimbella Corp.

    Abstract: A serverless function execution system enables fast, efficient and flexible deployment and execution of serverless functions. User commands are received from external messaging systems that cause functions to be executed. A serverless function associated with the user command is determined and the serverless function is executed in an isolation container at a function computation server. A response from the execution of the serverless function is sent to the external messaging system.

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