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公开(公告)号：US10540606B2
公开(公告)日：2020-01-21
申请号：US14460314
申请日：2014-08-14
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：US20240098187A1
公开(公告)日：2024-03-21
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：US11605254B1
公开(公告)日：2023-03-14
申请号：US16125274
申请日：2018-09-07
Applicant: Amazon Technologies, Inc.
Inventor： Ahmet Musabeyoglu , Xingang Guo , Kaushik Mani , Jin Li , Taru Roy
Abstract: Embodiments herein describe a beacon that is used to verify a location of a user and provide access to a secure location (e.g., a locked building). The beacon includes a radio frequency reader which communicates with a tag (e.g., an NFC or RFID tag) disposed on a same surface as the beacon. For example, the beacon may cover the tag on the surface (e.g., a wall next to a locked door or access point into the secure location). The reader in the beacon can periodically perform a read cycle to identify the presence of the tag to ensure the beacon has not been removed. If during one or more cycles the reader does not detect the tag, the beacon can deactivate the beacon and no longer transmit the location verification code.
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Patent Agency Ranking
公开(公告)号：US11544623B2
公开(公告)日：2023-01-03
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：US20220391763A1
公开(公告)日：2022-12-08
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
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：US11348058B1
公开(公告)日：2022-05-31
申请号：US16442371
申请日：2019-06-14
Applicant: Amazon Technologies, Inc.
Inventor： Zheng Wang , Yee Yan Cheng , Jin Li , Shao-Wen Yang , Qianchao Ban , Xingang Guo
Abstract: A delivery confirmation of a package at a delivery location may be determined based on a communication protocol between a user device and a package device associated with the package. A user can order an item and anticipate a delivery of the item to a delivery location associated with the user. A delivery device can determine that it has entered a geographic region associated with the delivery location. The delivery device and/or a user device associated with the delivery location can determine, using the communication protocol, that the delivery device is within a range of the user device. Then, the user device can receive a package device identifier associated with the package device, determine that the package device is within the range of the user device, and determine a delivery confirmation of the package.
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公开(公告)号：US11100420B2
公开(公告)日：2021-08-24
申请号：US14460312
申请日：2014-08-14
Applicant: Amazon Technologies, Inc.
Inventor： Leo Parker Dirac , Jin Li , Rakesh Ramakrishnan , Tianming Zheng , Donghui Zhuo
IPC: G06N20/00
Abstract: A record extraction request for a data set is received at a machine learning service. A plan to perform one or more chunk-level operations (such as sampling, shuffling, splitting or partitioning for parallel computation) on chunks of the data set is generated. A set of data transfers that results in a particular chunk being stored in a particular server's memory is initiated to implement the first chunk-level operation of the sequence. A second operation such as another filtering operation or a feature processing operation is performed on a result set of the first chunk-level operation.
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公开(公告)号：US20190050756A1
公开(公告)日：2019-02-14
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
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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