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公开(公告)号:US12206826B2
公开(公告)日:2025-01-21
申请号:US17949860
申请日:2022-09-21
Applicant: Amazon Technologies, Inc.
Inventor: Aaron Lung , Kaushik Mani , Guiqing He , Anubhav Khanna , Ram Nikhil Dodda , Taru Roy , Ruslan Khanbikov , Jin Li , Martino Fossarello
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.
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公开(公告)号:US20250021884A1
公开(公告)日:2025-01-16
申请号:US18775912
申请日:2024-07-17
Applicant: Amazon Technologies, Inc.
Inventor: Leo Parker Dirac , Nicolle M. Correa , Aleksandr Mikhaylovich Ingerman , Sriram Krishnan , Jin Li , Sudhakar Rao Puvvadi , Saman Zarandioon
IPC: 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.
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公开(公告)号:US11818842B1
公开(公告)日:2023-11-14
申请号:US16812043
申请日:2020-03-06
Applicant: Amazon Technologies, Inc.
Inventor: David E. Carrillo , Jin Li , Xingang Guo
IPC: H05K1/02 , H05K1/14 , H05K1/16 , H05K3/32 , H05K3/36 , H05K5/00 , H05K7/00 , H05K7/10 , H05K13/08 , H01L23/00 , H01R12/77
Abstract: A circuit board can be configured to access features and controls associated with a third-party circuit board. One or more spring-loaded pins or other connectors can contact one or more interaction points of the third-party circuit boards and form a connection. The circuit board can include a common or generic interface that the connections with the third-party circuit board are routed through by the circuit board. The generic interface can then connect the circuit board and third-party circuit board to external power sources, telecommunication devices, and connection ports. Based on the connection between the circuit board and the third-party circuit board, a user device can be assigned to and remotely access the features and controls of the third-party circuit board.
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公开(公告)号:US20230126005A1
公开(公告)日:2023-04-27
申请号:US18146075
申请日:2022-12-23
Applicant: Amazon Technologies, Inc.
Inventor: Leo Parker Dirac , Jin Li , Tianming Zheng , Donghui Zhuo
IPC: G06N20/00
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.
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公开(公告)号:US11556884B1
公开(公告)日:2023-01-17
申请号:US16450352
申请日:2019-06-24
Applicant: Amazon Technologies, Inc.
Inventor: Shao-Wen Yang , Jin Li , Qianchao Ban , Xingang Guo
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.
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公开(公告)号:US11386351B2
公开(公告)日:2022-07-12
申请号:US16159441
申请日:2018-10-12
Applicant: Amazon Technologies, Inc.
Inventor: Leo Parker Dirac , Nicolle M. Correa , Aleksandr Mikhaylovich Ingerman , Sriram Krishnan , Jin Li , Sudhakar Rao Puvvadi , Saman Zarandioon
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.
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公开(公告)号:US20200034742A1
公开(公告)日:2020-01-30
申请号:US16591521
申请日:2019-10-02
Applicant: Amazon Technologies, Inc.
Inventor: Leo Parker Dirac , Jin Li , Tianming Zheng , Donghui Zhuo
IPC: G06N20/00
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.
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公开(公告)号:US12073298B2
公开(公告)日:2024-08-27
申请号:US17811555
申请日:2022-07-08
Applicant: Amazon Technologies, Inc.
Inventor: Leo Parker Dirac , Nicolle M. Correa , Aleksandr Mikhaylovich Ingerman , Sriram Krishnan , Jin Li , Sudhakar Rao Puvvadi , Saman Zarandioon
IPC: G06N20/00
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.
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公开(公告)号:US10102480B2
公开(公告)日:2018-10-16
申请号:US14319902
申请日:2014-06-30
Applicant: Amazon technologies, Inc.
Inventor: Leo Parker Dirac , Nicolle M. Correa , Aleksandr Mikhaylovich Ingerman , Sriram Krishnan , Jin Li , Sudhakar Rao Puvvadi , Saman Zarandioon
IPC: G06N99/00
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.
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公开(公告)号:US11615370B1
公开(公告)日:2023-03-28
申请号:US16435177
申请日:2019-06-07
Applicant: Amazon Technologies, Inc.
Inventor: Jin Li , Xingang Guo , Shao-Wen Yang , Kaushik Mani , Taru Roy , Ahmet Can Musabeyoglu , Gerald J. Nievera
IPC: G06Q10/08 , B60R25/24 , G01C21/34 , G06Q30/06 , G06Q50/30 , G07C5/00 , G06Q10/0835 , G06Q30/0601
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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