Selective knowledge corpus sharing

    公开(公告)号:US11934552B2

    公开(公告)日:2024-03-19

    申请号:US16528830

    申请日:2019-08-01

    Abstract: Systems, methods, and computer program products for selectively customizing, modifying and changing performance parameters, capabilities and behaviors of AI devices within AI device networks by sharing user-selected portions of a knowledge corpus with other AI device networks. Selectively sharing parameters, learned behaviors, capabilities, and features of the knowledge corpus allows for AI devices within a second AI device network to mimic, clone or recreate the performance or behaviors of AI devices operating within the environment of a first AI device network. Users can create portable nodes that travel with the user and upon connecting with the second device network, identify AI devices that can be modified using the portions of the knowledge corpus to recreate selected portions of the first AI device network within the environment of the second AI device network either permanently or for a user-selected amount of time.

    Feeling experience correlation
    6.
    发明授权

    公开(公告)号:US11574553B2

    公开(公告)日:2023-02-07

    申请号:US16575245

    申请日:2019-09-18

    Abstract: A system including sensors configured to provide physiological markers of a developer and a controller configured provide information indicative of a user experience to the developer while receive signals from the sensors. The controller is configured to utilize cognitive analysis determine developer emotion responses as the developer receives the user experience. The controller compares a developer emotion classification with a user emotion classification of a user as the user generated the user experience. The system generates a prioritized backlog to identify points where emotion responses between user and developer are in common, or where emotion responses between user and developer differ.

    Correlating test results variations with business requirements

    公开(公告)号:US11269761B2

    公开(公告)日:2022-03-08

    申请号:US16360686

    申请日:2019-03-21

    Abstract: A method, system, and computer program product for relating test data to business requirements are provided in the illustrative embodiments. a test operation of a code is configured in a test data processing environment, a section in the code corresponding to a portion of a business requirements document. A set of baseline results is received. The test operation is executed, identifying the section of the code and associating the section of the code with a test result produced from the test operation. A determination is made whether the test result matches a first baseline result from the set of baseline results within a tolerance. When the test result does not match the first baseline result from the set of baseline results within the tolerance, the portion of the business requirements document is annotated.

    ACTIVITY RECOMMENDATIONS BASED ON IOT AND SOCIAL MEDIA

    公开(公告)号:US20220027751A1

    公开(公告)日:2022-01-27

    申请号:US16936399

    申请日:2020-07-22

    Abstract: Aspects of the present invention disclose a method for recommending an activity based on a social media profile, IoT devices, and historical engagements of the user. The method includes one or more processors determining a past activity of a user based at least in part on social media posts and internet of things (IoT) enabled devices of the user. The method further includes determining a set of historical conditions corresponding to the past activity, wherein the set of conditions correspond to a positive sentiment of the user. The method further includes identifying a location of the user. The method further includes generating an activity recommendation based on the location of the user and the set of historical conditions corresponding to the past activity, wherein the activity recommendation includes a set of future conditions of a future activity, wherein the set of future conditions correlate with the set of historical conditions.

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