Cognitive retail facing
    71.
    发明授权

    公开(公告)号:US11295269B2

    公开(公告)日:2022-04-05

    申请号:US16413707

    申请日:2019-05-16

    Applicant: Kyndryl, Inc.

    Abstract: In an approach to cognitive retail facing, one or more computer processors receive data associated with a shelf facing of one or more products on display. Based, at least in part, on the received shelf facing data, the one or more computer processors determine whether the shelf facing matches a predetermined pattern. In response to determining the shelf facing does not match a predetermined pattern, the one or more computer processors generate one or more instructions to adjust the one or more products to match the predetermined pattern. The one or more computer processors transmit the generated one or more instructions to one or more autonomous robots.

    AUTOMATED SPEECH GENERATION BASED ON DEVICE FEED

    公开(公告)号:US20220101860A1

    公开(公告)日:2022-03-31

    申请号:US17035736

    申请日:2020-09-29

    Applicant: KYNDRYL, INC.

    Abstract: Computer-generated speech based on a device feed includes generating a corpus for robotic use by receiving first information representative of a user's speech in different environments at different times and second information representative of environmental conditions of different locations at the different times. The first and second information of corresponding different environments and different locations for each of the different times is combined with third information received from external data sources. A plurality of annotated combined datasets including the first information, the second information, and the third information is generated for each of the different times in a repository. The plurality of annotated combined datasets is correlated to create training data that is subsequently processed using a predetermined machine learning model. A correlation among spoken tone associated with a contextual situation based on skills of the user is identified in the training data and used to update the corpus.

    Edge computing for clusters of vehicles

    公开(公告)号:US11269356B2

    公开(公告)日:2022-03-08

    申请号:US16597916

    申请日:2019-10-10

    Applicant: KYNDRYL, INC.

    Abstract: Autonomous vehicle communications are managed by assigning vehicle clusters to process collected data as a unified cluster, whether transmitting the data to a remote server or processing the data by an assigned vehicle within the cluster. Efficient travel guidance is produced in a timely manner by reducing the network bandwidth usage and volume of data transferred by autonomous vehicles traveling on a roadway with other autonomous vehicles.

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