SYSTEM AND METHOD FOR EFFICIENT MACHINE LEARNING

    公开(公告)号:US20230419170A1

    公开(公告)日:2023-12-28

    申请号:US17887056

    申请日:2022-08-12

    CPC classification number: G06N20/00 G06N3/08

    Abstract: Systems and methods employ knowledge distillation for efficient machine learning. Systems and methods integrate self-supervised learning, supervised learning, semi-supervised learning and active learning, each of which learning is executed in an iterative fashion. The system comprises three main components: a database server, a data analytics system and a standard dashboard. The database server contains real-time inventory images as well as historical images of each product type. The data analytics system is executed by a computer processor configured to apply a multi-head self-supervised learning-based deep neural network. The standard dashboard is configured to output a report regarding the object information.

    System and method for automated data integration

    公开(公告)号:US12013838B2

    公开(公告)日:2024-06-18

    申请号:US17887097

    申请日:2022-08-12

    CPC classification number: G06F16/2365 G06F16/254 G06Q10/0631

    Abstract: Systems and methods are provided to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system uses a metadata-based data mapping template to match fields from one database system to the other. The system can generate and publish master data of a plurality of business entities.

    SYSTEM AND METHOD FOR AUTOMATED DATA INTEGRATION

    公开(公告)号:US20240004863A1

    公开(公告)日:2024-01-04

    申请号:US17887097

    申请日:2022-08-12

    CPC classification number: G06F16/2365 G06Q10/0631 G06F16/254

    Abstract: Systems and methods are provided to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system uses a metadata-based data mapping template to match fields from one database system to the other. The system can generate and publish master data of a plurality of business entities.

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