Interface device for intercom access control systems

    公开(公告)号:US12206826B2

    公开(公告)日:2025-01-21

    申请号:US17949860

    申请日:2022-09-21

    Abstract: This disclosure describes an electronic device that can be installed within an access control system in parallel with a legacy interface device. The electronic device may perform steps of determining a set of configuration settings associated with an access control system to which the electronic device is electrically connected, receiving, by the electronic device, a first signal in a format associated with the access control system, configuring, based on the set of configuration settings, one or more signal pathways within the electronic device, generating, by routing the first signal through the one or more signal pathways, a second signal in a second format, and providing the second signal to at least one second electronic device.

    MACHINE LEARNING SERVICE
    2.
    发明申请

    公开(公告)号:US20250021884A1

    公开(公告)日:2025-01-16

    申请号:US18775912

    申请日:2024-07-17

    Abstract: A machine learning service implements programmatic interfaces for a variety of operations on several entity types, such as data sources, statistics, feature processing recipes, models, and aliases. A first request to perform an operation on an instance of a particular entity type is received, and a first job corresponding to the requested operation is inserted in a job queue. Prior to the completion of the first job, a second request to perform another operation is received, where the second operation depends on a result of the operation represented by the first job. A second job, indicating a dependency on the first job, is stored in the job queue. The second job is initiated when the first job completes.

    CONSISTENT FILTERING OF MACHINE LEARNING DATA

    公开(公告)号:US20230126005A1

    公开(公告)日:2023-04-27

    申请号:US18146075

    申请日:2022-12-23

    Abstract: Consistency metadata, including a parameter for a pseudo-random number source, are determined for training-and-evaluation iterations of a machine learning model. Using the metadata, a first training set comprising records of at least a first chunk is identified from a plurality of chunks of a data set. The first training set is used to train a machine learning model during a first training-and-evaluation iteration. A first test set comprising records of at least a second chunk is identified using the metadata, and is used to evaluate the model during the first training-and-evaluation iteration.

    Privacy-preserving identity-validated transactions

    公开(公告)号:US11556884B1

    公开(公告)日:2023-01-17

    申请号:US16450352

    申请日:2019-06-24

    Abstract: Disclosed are various embodiments for anonymously validating the identities of multiple parties participating a transaction. In one embodiment, a system is configured to determine a location of the system is within a proximity threshold of a location and transmit an arrival indication to a remote computing device. The system is also configured to receive an encryption key from the remote computing device and detect a client device located at the location. The encryption key can be transmitted to the client device for validation that the location of the computing device is the location.

    Machine learning service
    6.
    发明授权

    公开(公告)号:US11386351B2

    公开(公告)日:2022-07-12

    申请号:US16159441

    申请日:2018-10-12

    Abstract: A machine learning service implements programmatic interfaces for a variety of operations on several entity types, such as data sources, statistics, feature processing recipes, models, and aliases. A first request to perform an operation on an instance of a particular entity type is received, and a first job corresponding to the requested operation is inserted in a job queue. Prior to the completion of the first job, a second request to perform another operation is received, where the second operation depends on a result of the operation represented by the first job. A second job, indicating a dependency on the first job, is stored in the job queue. The second job is initiated when the first job completes.

    CONSISTENT FILTERING OF MACHINE LEARNING DATA

    公开(公告)号:US20200034742A1

    公开(公告)日:2020-01-30

    申请号:US16591521

    申请日:2019-10-02

    Abstract: Consistency metadata, including a parameter for a pseudo-random number source, are determined for training-and-evaluation iterations of a machine learning model. Using the metadata, a first training set comprising records of at least a first chunk is identified from a plurality of chunks of a data set. The first training set is used to train a machine learning model during a first training-and-evaluation iteration. A first test set comprising records of at least a second chunk is identified using the metadata, and is used to evaluate the model during the first training-and-evaluation iteration.

    Machine learning service
    8.
    发明授权

    公开(公告)号:US12073298B2

    公开(公告)日:2024-08-27

    申请号:US17811555

    申请日:2022-07-08

    CPC classification number: G06N20/00

    Abstract: A machine learning service implements programmatic interfaces for a variety of operations on several entity types, such as data sources, statistics, feature processing recipes, models, and aliases. A first request to perform an operation on an instance of a particular entity type is received, and a first job corresponding to the requested operation is inserted in a job queue. Prior to the completion of the first job, a second request to perform another operation is received, where the second operation depends on a result of the operation represented by the first job. A second job, indicating a dependency on the first job, is stored in the job queue. The second job is initiated when the first job completes.

    Machine learning service
    9.
    发明授权

    公开(公告)号:US10102480B2

    公开(公告)日:2018-10-16

    申请号:US14319902

    申请日:2014-06-30

    Abstract: A machine learning service implements programmatic interfaces for a variety of operations on several entity types, such as data sources, statistics, feature processing recipes, models, and aliases. A first request to perform an operation on an instance of a particular entity type is received, and a first job corresponding to the requested operation is inserted in a job queue. Prior to the completion of the first job, a second request to perform another operation is received, where the second operation depends on a result of the operation represented by the first job. A second job, indicating a dependency on the first job, is stored in the job queue. The second job is initiated when the first job completes.

    Optimized package delivery
    10.
    发明授权

    公开(公告)号:US11615370B1

    公开(公告)日:2023-03-28

    申请号:US16435177

    申请日:2019-06-07

    Abstract: With respect to a package delivery system configured to optimize efficiencies associated with package delivery, a server computing device may monitor locations and conditions associated with a fleet of vehicles. A vehicle including a first delivery person may be dispatched with packages for delivery. The server computing device may provide updated delivery routes based on traffic and/or other conditions in the environment. At the completion of a work shift associated with the first delivery person, the vehicle may be parked at a location proximate the delivery route. The server computing device may dispatch a second delivery person to the location. Based on an indication that the second delivery person is proximate the vehicle, the server computing device may cause a user interface to surface on a computing device of the second delivery person, enabling the second delivery person to unlock the vehicle and continue delivering the packages.

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