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    Contextual item discovery and pattern inculcated reminder mechanism
    1.
    发明授权
    Contextual item discovery and pattern inculcated reminder mechanism 有权

    公开(公告)号：US12014617B2

    公开(公告)日：2024-06-18

    申请号：US17704703

    申请日：2022-03-25

    Applicant: Kyndryl, Inc.

    Inventor： Pritesh Patel ,  Shikhar Kwatra ,  Amitava Kundu ,  Sujatha B. Perepa

    IPC: G08B21/24 ,  G06N20/00

    CPC classification number: G08B21/24 ,  G06N20/00

    Abstract: Aspects of the present disclosure relate generally to reminder systems and, more particularly, to a contextual item discovery and pattern inculcated reminder mechanism and methods of use. A computer-implemented method includes: determining, by a computing device, an event in which a user will participate; associating, by the computing device, one or more items with the event; determining a location of the one or more items associated with the event including that the user does not possess any combination of the one or more items; and providing an alert to the user that the any of the one or more items associated with the event is not in the possession of the user.

    IMAGE ENTITY EXTRACTION AND GRANULAR INTERACTIVITY ARTICULATION
    3.
    发明申请
    IMAGE ENTITY EXTRACTION AND GRANULAR INTERACTIVITY ARTICULATION 有权

    公开(公告)号：US20220309715A1

    公开(公告)日：2022-09-29

    申请号：US17215432

    申请日：2021-03-29

    Applicant: KYNDRYL, INC.

    Inventor： Tiberiu Suto ,  Shikhar Kwatra ,  Vijay Ekambaram ,  Hemant Kumar Sivaswamy

    IPC: G06T11/00 ,  G06F16/51 ,  G06K9/20 ,  G06K9/00 ,  G06F40/295

    Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: identifying two or more distinct elements in an image; generating a sub-image for each of the two or more distinct elements; generating adjectives descriptive of content associated with a distinct element for each sub-image; displaying a response list including the adjectives associated with the distinct element of a selected sub-image in response to an interaction with the image; obtaining annotation data based in part on the response list displayed for the distinct element of the selected sub-image; and assigning the annotation data to the distinct element of the selected sub-image, wherein the annotation data is displayed in response to an interaction with the distinct element in the image.

    Debris signature-based robotic cleaning device navigation
    5.
    发明授权
    Debris signature-based robotic cleaning device navigation 有权

    公开(公告)号：US12207787B2

    公开(公告)日：2025-01-28

    申请号：US17645488

    申请日：2021-12-22

    Applicant: KYNDRYL, INC.

    Inventor： Caleb Miles ,  Shikhar Kwatra ,  Vijay Ekambaram ,  Padmanabha Venkatagiri Seshadri

    IPC: A47L9/28 ,  G05D1/00

    Abstract: Debris signature-based robotic cleaning device navigation includes operating the robotic cleaning device in a first mode as part of a vacuum cycle, the device including suction ports configurable for different suction power levels and each port having a suction path along which debris entering through the suction port is collected by the device. In the first operating mode the suction ports are operated at a first suction power level. The navigation also includes changing operation of the device to a second mode and in which the suction ports are operated at a greater suction power, measuring a respective amount of debris collected through each suction port, and selecting a direction in which to navigate the robotic cleaning device based on the debris measurements.

    Employee interaction management based on predictive analysis
    6.
    发明授权
    Employee interaction management based on predictive analysis 有权

    公开(公告)号：US12093897B2

    公开(公告)日：2024-09-17

    申请号：US17663096

    申请日：2022-05-12

    Applicant: Kyndryl, Inc.

    Inventor： Kelly Camus ,  Shikhar Kwatra ,  Al Chakra ,  Jun Zhu

    IPC: G06Q10/10 ,  G06N20/20 ,  G06Q10/0633

    CPC classification number: G06Q10/103 ,  G06N20/20 ,  G06Q10/0633

    Abstract: Methods, computer program products, and systems are presented. The method, computer program products, and systems can include, for instance: receiving personal inputs regarding a first individual, the first individual previously having given informed consent, automatically generating a work profile for the first individual based on the plurality of personal inputs; based on the work profile of the first individual and a preexisting work profile of a second individual, predicting a work affinity indicator for the first individual and the second individual, the predicting including using an affinity model trained via ensemble learning; and providing the work affinity indicator to a user for optional consideration in making a work-related or employment-related decision.

    DETECTING INFECTION SOURCES
    8.
    发明公开
    DETECTING INFECTION SOURCES 审中-公开

    公开(公告)号：US20240153645A1

    公开(公告)日：2024-05-09

    申请号：US18052228

    申请日：2022-11-03

    Applicant: Kyndryl, Inc.

    Inventor： Seng Chai Gan ,  Shikhar Kwatra ,  Geeth Ranmal de Mel ,  Lan Ngoc Hoang

    IPC: G16H50/70 ,  G16H40/67 ,  G16H50/80 ,  G16H70/60

    CPC classification number: G16H50/70 ,  G16H40/67 ,  G16H50/80 ,  G16H70/60 ,  G16H50/30

    Abstract: A method, computer program product, and system include a processor(s) obtains various data relevant to one or more infected individuals (e.g., location data and infection data. The processor(s) identifies relationships and physical proximity between people comprising the one or more infected individuals and additional individuals, based on the various data. The processor(s) generates, based on the various data, a geofence. The processor(s) utilizes the geofence, the relationships, the physical proximity, and the various data, to predict that a portion of the additional individuals are more likely than not to be infected with the infection. The processor(s) generates a scoring model to identify a source of the infection. The processor(s) applies the scoring model to a group consisting of the one or more individuals, the portion of the additional individuals, and the physical locations, to identify the source of the infection (i.e., a person or physical locations).

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