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公开(公告)号：US11597092B1
公开(公告)日：2023-03-07
申请号：US16831041
申请日：2020-03-26
Applicant: Amazon Technologies, Inc.
Inventor： David L. Alspaugh , Dipan M. Shah , Pragyana K. Mishra
Abstract: Systems and methods relating to an end-of-arm-tool that can be used in connection with the automated handling of vehicles, such as unmanned aerial vehicles (UAV), are disclosed. The described systems and methods can include an end-of-arm-tool which may include a load cell coupled to an end effector, such that forces and torques exerted on the end effector are translated onto the load cell. The measurement of forces and torques exerted on the end effector can facilitate determining various information in connection with the aerial vehicle, such as inertial properties or parameters associated with the aerial vehicle, the quality of the engagement between the end effector and the aerial vehicle, as well as diagnostic information in connection with the aerial vehicle. Additionally, the use of a load cell to measure forces and torques exerted on the end effector can eliminate the need to utilize traditional contact sensors typically required on the contact surfaces of an end-of-arm tool.
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公开(公告)号：US11569981B1
公开(公告)日：2023-01-31
申请号：US16114667
申请日：2018-08-28
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra
Abstract: Systems and techniques are disclosed for a blockchain network based on machine learning-based proof of work. One of the methods includes accessing a blockchain associated with a blockchain network, and obtaining a first error value specified in a block of the blockchain, the first error value being associated with a machine learning model identified in the block, and the blockchain recording machine learning models. A new machine learning model associated with a second error value is determined, with the second error value being less than the first error value. A block proposal identifying the new machine learning model is generated, the block proposal specifying the first error value. Transmission of the block proposal to other entities is caused. In response to greater than a threshold percentage of the entities approving the block proposal, inclusion of the block proposal in the blockchain is caused.
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公开(公告)号：US11568176B1
公开(公告)日：2023-01-31
申请号：US17358316
申请日：2021-06-25
Applicant: Amazon Technologies, Inc.
Inventor： Kun Li , Pragyana K. Mishra
IPC: G06K9/62 , G06V30/194
Abstract: Deep feature extraction and training tools and processes may facilitate extraction and understanding of deep features utilized by deep learning models. For example, imaging data may be tessellated and masked to generate a plurality of masked images. The masked images may be processed by a deep learning model to generate a plurality of masked outputs. The masked outputs may be aggregated for each cell of the tessellated image and compared to an original output for the imaging data from the deep learning model. Individual cells and associated image regions having masked outputs that correspond to the original output may comprise deep features utilized by the deep learning model.
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公开(公告)号：US11551440B1
公开(公告)日：2023-01-10
申请号：US16040028
申请日：2018-07-19
Applicant: Amazon Technologies, Inc.
Inventor： Chitti Babu Namballa , Pragyana K. Mishra
IPC: G06V20/20 , G06Q30/02 , G06N5/04 , G06N20/00 , G06F16/58 , G06N3/08 , A61H31/00 , G06V10/44 , G06F17/00
Abstract: Aspects of the present disclosure relate to machine learning techniques for continuous implementation and training of a machine learning system for identifying the natural language meaning of visual content. A computer vision model or other suitable machine learning model can predict whether a given descriptor is associated with the visual content. A set of such models can be used to determine whether particular ones of a set of descriptors are associated with the visual content, with the determined descriptors representing a meaning of the visual content. This meaning can be refined based on a multi-armed bandit tracking and analyzing interactions between the visual content and users associated with certain personas related to the determined descriptors.
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公开(公告)号：US11551096B1
公开(公告)日：2023-01-10
申请号：US16046294
申请日：2018-07-26
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra
Abstract: Systems and methods are described herein for generating potential feature combinations for a new item. A neural network may be utilized to identify positive and/or negative sentiment phrases from textual data. Each sentiment phrase may correspond to particular features of existing items. A machine-learning model may utilize the sentiment phrases and their corresponding features to generate a set of potential feature combinations for a new item. The potential feature combinations may be scored, for example, based on an amount by which a potential feature combination differs from known feature combinations of existing items. One or more potential feature combinations may be provided in a feature recommendation. Feedback (e.g., human feedback, sales data, page views for similar items, and the like) may be obtained and utilized to retrain the machine-learning model to better identify subsequent feature combinations that may be desirable and/or practical to manufacture.
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Patent Agency Ranking
公开(公告)号：US11410562B1
公开(公告)日：2022-08-09
申请号：US16540784
申请日：2019-08-14
Applicant: Amazon Technologies, Inc.
Inventor： Pragyana K. Mishra
Abstract: Disclosed are systems and methods that collect travel related data, which includes, but is not limited to, characteristics of obstacles, environmental conditions (e.g., wind speed, rain, barometric pressure, humidity), crowds of people, magnetic interference, etc., and operational characteristics of the aerial vehicle that result from the environmental conditions. The travel related data is then used to determine and/or optimize flight plans for aerial vehicles between a source location and a destination location.
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公开(公告)号：US11368652B1
公开(公告)日：2022-06-21
申请号：US17084347
申请日：2020-10-29
Applicant: Amazon Technologies, Inc.
Inventor： Gregory Johnson , Pragyana K. Mishra , Mohammed Khalilia , Wenbin Ouyang , Naveen Sudhakaran Nair
Abstract: Audio content and played frames may be received. The audio content may correspond to first video content. The played frames may be included in the first video content. The first video content may further include a replaced frame. The played frames and the replaced frame may include a face of a person. Location data may also be received that indicates locations of facial features of the face of the person within the replaced frame. A replacement frame may be generated, such as by rendering the facial features in the replacement frame based at least in part on the locations indicated by the location data and positions indicated by a portion of the audio content that is associated with the replaced frame. Second video content may be played including the played frames and the replacement frame. The replacement frame may replace the replaced frame in the second video content.
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公开(公告)号：US11127265B1
公开(公告)日：2021-09-21
申请号：US16666253
申请日：2019-10-28
Applicant: Amazon Technologies, Inc.
Inventor： Gur Kimchi , Brian Beckman , Pragyana K. Mishra
Abstract: Directed audio emissions systems and methods may include one or more sensors, one or more audio transmitters, and a controller configured to cause emission of directed audio output toward various objects, such as people, animals, vehicles, devices, or others. For example, responsive to detecting a potential safety situation and/or a potential intended communication situation associated with one or more detected objects, selected audio output having selected audio characteristics may be emitted toward the detected objects using selected audio transmitters. The audio characteristics may be selected to direct and/or accentuate the audio output at a particular location of a detected object, and the audio characteristics of the audio output may be customized based on a type and other characteristics of the detected object.
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公开(公告)号：US10891879B1
公开(公告)日：2021-01-12
申请号：US15899022
申请日：2018-02-19
Applicant: Amazon Technologies, Inc.
Inventor： John Weresh , Pragyana K. Mishra
Abstract: Described are systems and methods that enable the repurposing of packages and shipment of items in those repurposed packages. For example, a first user may repurpose a package in which they previously received a shipment and, using a label or identifier already affixed to the package, ship an item to a different delivery destination. The described implementations enable the first user to repurpose a package and ship an item in that repurposed package without having to print a shipping label, weigh the repurposed package, or deliver the repurposed package to a carrier for shipment.
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公开(公告)号：US10769371B1
公开(公告)日：2020-09-08
申请号：US15824477
申请日：2017-11-28
Applicant: Amazon Technologies, Inc.
Inventor： Ivan Barrientos , Prakash Bulusu , Pragyana K. Mishra
IPC: G06F40/247 , G06F16/9535 , G06F40/49 , G06F40/274 , G06F3/0482
Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for automatic execution of actions responsive to queries. Example methods include determining a set of seed words for input at a first search engine, determining a first autocomplete result associated with a first word at the first search engine, and determining a second autocomplete result associated with the first autocomplete result at the first search engine. Example methods include determining a set of user interaction histories that comprises queries input at a second search engine, and determining that a first user interaction history includes a query with a portion of the second autocomplete result. Example methods include determining a user action performed after the query, and associating the user action with the query in a database, such that subsequent inputs of the query cause the first user action to automatically occur.
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