ARTIFICIAL INTELLIGENCE PLATFORM FOR MOBILE CHARGING OF RECHARGEABLE VEHICLES AND ROBOTIC DEVICES

    公开(公告)号:US20200269977A1

    公开(公告)日:2020-08-27

    申请号:US16283606

    申请日:2019-02-22

    Inventor: Eric Noble Di Chou

    Abstract: Example methods, apparatus, systems, and machine-readable mediums for an artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices are disclosed. An example method may include determining that a mobile vehicle is operating within a region and determining that the mobile vehicle requires charging of a battery for the mobile device while operating within the region. The method may further comprise identifying a charging station available within the region for charging of the battery at a time and a location within the region and navigating at least one of the mobile vehicle or the charging station to the location at the time for charging the battery of the mobile vehicle.

    Fraud as a service
    2.
    发明授权

    公开(公告)号:US11062315B2

    公开(公告)日:2021-07-13

    申请号:US15962253

    申请日:2018-04-25

    Inventor: Eric Noble Di Chou

    Abstract: Various embodiments disclosed herein provide for a fraud detection as a service system that can be implemented via one or more microservices that can be instantiated on an operation support system and/or business support systems. Each fraud detection microservice instantiated can have one or more fraud detection models and sets of rules for a particular type of incoming data stream or transaction and/or interaction data. In this way, there can be more than one fraud detection microservice operating on the OSS/BSS allowing each fraud detection microservice to be dynamically updated in real time, provide continuous integration and continuous delivery of services, and work with a particular data flow, providing for an optimal fraud detection process.

    Artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices

    公开(公告)号:US11242145B2

    公开(公告)日:2022-02-08

    申请号:US16283606

    申请日:2019-02-22

    Inventor: Eric Noble Di Chou

    Abstract: Example methods, apparatus, systems, and machine-readable mediums for an artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices are disclosed. An example method may include determining that a mobile vehicle is operating within a region and determining that the mobile vehicle requires charging of a battery for the mobile device while operating within the region. The method may further comprise identifying a charging station available within the region for charging of the battery at a time and a location within the region and navigating at least one of the mobile vehicle or the charging station to the location at the time for charging the battery of the mobile vehicle.

    FRAUD AS A SERVICE
    4.
    发明申请
    FRAUD AS A SERVICE 审中-公开

    公开(公告)号:US20190333069A1

    公开(公告)日:2019-10-31

    申请号:US15962253

    申请日:2018-04-25

    Inventor: Eric Noble Di Chou

    Abstract: Various embodiments disclosed herein provide for a fraud detection as a service system that can be implemented via one or more microservices that can be instantiated on an operation support system and/or business support systems. Each fraud detection microservice instantiated can have one or more fraud detection models and sets of rules for a particular type of incoming data stream or transaction and/or interaction data. In this way, there can be more than one fraud detection microservice operating on the OSS/BSS allowing each fraud detection microservice to be dynamically updated in real time, provide continuous integration and continuous delivery of services, and work with a particular data flow, providing for an optimal fraud detection process.

    Fraud as a service
    5.
    发明授权

    公开(公告)号:US11531989B2

    公开(公告)日:2022-12-20

    申请号:US17346178

    申请日:2021-06-11

    Inventor: Eric Noble Di Chou

    Abstract: A fraud detection as a service system is provided that can be implemented via one or more microservices that can be instantiated on an operation support system and/or business support systems. Each fraud detection microservice instantiated can have one or more fraud detection models and sets of rules for a particular type of incoming data stream or transaction and/or interaction data. In this way, there can be more than one fraud detection microservice operating on the OSS/BSS allowing each fraud detection microservice to be dynamically updated in real time, provide continuous integration and continuous delivery of services, and work with a particular data flow, providing for an optimal fraud detection process.

    ARTIFICIAL INTELLIGENCE PLATFORM FOR MOBILE CHARGING OF RECHARGEABLE VEHICLES AND ROBOTIC DEVICES

    公开(公告)号:US20220106041A1

    公开(公告)日:2022-04-07

    申请号:US17644582

    申请日:2021-12-16

    Inventor: Eric Noble Di Chou

    Abstract: An artificial intelligence platform for mobile charging of rechargeable vehicles and robotic devices is disclosed. An example method may include determining that a mobile vehicle is operating within a region and determining that the mobile vehicle requires charging of a battery for the mobile device while operating within the region. The method may further comprise identifying a charging station available within the region for charging of the battery at a time and a location within the region and navigating at least one of the mobile vehicle or the charging station to the location at the time for charging the battery of the mobile vehicle.

    FRAUD AS A SERVICE
    8.
    发明申请

    公开(公告)号:US20210304208A1

    公开(公告)日:2021-09-30

    申请号:US17346178

    申请日:2021-06-11

    Inventor: Eric Noble Di Chou

    Abstract: A fraud detection as a service system is provided that can be implemented via one or more microservices that can be instantiated on an operation support system and/or business support systems. Each fraud detection microservice instantiated can have one or more fraud detection models and sets of rules for a particular type of incoming data stream or transaction and/or interaction data. In this way, there can be more than one fraud detection microservice operating on the OSS/BSS allowing each fraud detection microservice to be dynamically updated in real time, provide continuous integration and continuous delivery of services, and work with a particular data flow, providing for an optimal fraud detection process.

    PARALLEL MACHINE LEARNING MODELS
    9.
    发明申请

    公开(公告)号:US20210117977A1

    公开(公告)日:2021-04-22

    申请号:US16655390

    申请日:2019-10-17

    Abstract: A processing system including at least one processor may obtain at least one of a first machine learning model or a second machine learning model, deploy the at least one of the first machine learning model or the second machine learning model to a plurality of trained machine learning models for operating in parallel with respect to a same prediction task, obtain at least one data set, apply the at least one data set to the plurality of trained machine learning models, obtain the first result of the first machine learning model and a second result of the second machine learning model in accordance with the applying, store the first result of the first machine learning model and the second result of the second machine learning model, and provide an output in accordance with at least one of the first result or the second result.

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