公开(公告)号：US20220100772A1

公开(公告)日：2022-03-31

申请号：US17039887

申请日：2020-09-30

Applicant: Amazon Technologies, Inc.

Inventor： Srikanth Doss Kadarundalagi Raghura ,  Yogarshi Paritosh Vyas ,  Miguel Ballesteros Martinez ,  Yahor Pushkin ,  Sunil Mallya Kasaragod ,  Yaser Al-Onaizan ,  Sameer Karnik ,  Abhinav Goyal ,  Graham Vintcent Horwood ,  Kapil Singh Badesara

IPC: G06F16/25 ,  G06F16/23 ,  G06F21/62 ,  G06F40/289

Abstract: Methods, systems, and computer-readable media for context-sensitive linking of entities to private databases are disclosed. An entity linking service stores a plurality of representations of entities. Individual ones of the entities correspond to individual ones of a plurality of records in one or more private databases. The entity linking service determines a mention of an entity in a document. The entity linking service selects, from the plurality of records in the one or more private databases, a record corresponding to the entity. The record is selected based at least in part on the plurality of representations of the entities and based at least in part on a context of the mention of the entity in the document. The entity linking service generates output comprising a reference to the selected record in the one or more private databases.

公开(公告)号：US11119813B1

公开(公告)日：2021-09-14

申请号：US15359391

申请日：2016-11-22

Applicant: Amazon Technologies, Inc.

Inventor： Sunil Mallya Kasaragod

IPC: G06F9/48

Abstract: Systems and methods are described for providing an implementation of the MapReduce programming model utilizing tasks executing on an on-demand code execution system or other distributed code execution environment. A coordinator task may be used to obtain a request to process a set of data according to the implementation of the MapReduce programming model, to initiate executions of a map task to analyze that set of data, and to initiate executions of a reduce task to reduce outputs of the map task executions to a single results file. The coordinator task may be event-driven, such that it executes in response to completion of executions of the map task or reduce tasks, and can be halted or paused during those executions. Thus, the MapReduce programming model may be implemented without the use of a dedicated framework or infrastructure to manage map and reduce functions.

公开(公告)号：US20200167686A1

公开(公告)日：2020-05-28

申请号：US16201830

申请日：2018-11-27

Applicant: Amazon Technologies, Inc.

Inventor： Sunil Mallya Kasaragod ,  Sahika Genc ,  Leo Parker Dirac ,  Bharathan Balaji ,  Eric Li Sun ,  Marthinus Coenraad De Clercq Wentzel

IPC: G06N20/00 ,  G06F17/50 ,  B25J9/16

Abstract: A simulation management service receives a request to perform reinforcement learning for a robotic device. The request can include computer-executable code defining a reinforcement function for training a reinforcement learning model for the robotic device. In response to the request, the simulation management service generates a simulation environment and injects the computer-executable code into a simulation application for the robotic device. Using the simulation application and the computer-executable code, the simulation management service performs the reinforcement learning within the simulation environment.

公开(公告)号：US20200167437A1

公开(公告)日：2020-05-28

申请号：US16201872

申请日：2018-11-27

Applicant: Amazon Technologies, Inc.

Inventor： Sunil Mallya Kasaragod ,  Sahika Genc ,  Leo Parker Dirac ,  Bharathan Balaji ,  Eric Li Sun ,  Marthinus Coenraad De Clercq Wentzel ,  Brian James Townsend ,  Pramod Ravikumar Kumar

IPC: G06F17/50 ,  G06N20/00

Abstract: A simulation workflow manager obtains a set of parameters for simulation of a system and training of a reinforcement learning model for optimizing an application of the system. In response to obtaining the set of parameters, the simulation workflow manager configures a first compute node that includes a training application for training the reinforcement learning model. The simulation workflow manager also configures a second compute note with a simulation application to perform the simulation of the system in a simulation environment. Data is generated through execution of the simulation in the second compute node that is provided to the first compute node to cause the training application to use the data to train the reinforcement learning model.

公开(公告)号：US12141827B1

公开(公告)日：2024-11-12

申请号：US17548055

申请日：2021-12-10

Applicant: Amazon Technologies, Inc.

Inventor： Sunil Mallya Kasaragod ,  Abhinav Goyal ,  Yahor Pushkin ,  Srikanth Doss Kadarundalagi Raghura ,  Rishita Rajal Anubhai ,  Kasturi Bhattacharjee ,  Smaranda Muresan ,  Siddharth Chaitanyakumar Varia ,  Federico Torreti

IPC: G06F40/284 ,  G06F40/205 ,  G06Q10/0631 ,  G06Q30/0204

Abstract: A global segmenting and analysis service of a provider network may receive documents (e.g., posts, product reviews) from different applications. The service may analyze the documents to identify target entities and sentiment. The service may generate different levels of sentiment data and store data into a segmented database. For example, the service may store within-document level sentiment, document-level sentiment, and multi-document level sentiment for a target entity. The service may also update the entity taxonomy automatically or with only a small number of sample documents. The client may query the service for the segmented sentiment data.

公开(公告)号：US12118456B1

公开(公告)日：2024-10-15

申请号：US16198730

申请日：2018-11-21

Applicant: Amazon Technologies, Inc.

Inventor： Sahika Genc ,  Bharathan Balaji ,  Urvashi Chowdhary ,  Leo Parker Dirac ,  Saurabh Gupta ,  Vineet Khare ,  Sunil Mallya Kasaragod

IPC: G06N3/08 ,  G06F30/20

CPC classification number: G06N3/08 ,  G06F30/20

Abstract: A machine learning environment utilizing training data generated by customer networks. A reinforcement learning machine learning environment receives and processes training data generated by simulated hosted, or integrated, customer networks. The reinforcement learning machine learning environment corresponds to machine learning clusters that receive and process training data sets provided by the integrated customer networks. The customer networks include an agent process that collects training data and forwards the training data to the machine learning clusters. The machine learning clusters can be configured in a manner to automatically process the training data without requiring additional user inputs or controls to configure the application of the reinforcement learning machine learning processes.

公开(公告)号：US12086548B2

公开(公告)日：2024-09-10

申请号：US17039919

申请日：2020-09-30

Applicant: Amazon Technologies, Inc.

Inventor： Rishita Rajal Anubhai ,  Yahor Pushkin ,  Graham Vintcent Horwood ,  Yinxiao Zhang ,  Ravindra Manjunatha ,  Jie Ma ,  Alessandra Brusadin ,  Jonathan Steuck ,  Shuai Wang ,  Sameer Karnik ,  Miguel Ballesteros Martinez ,  Sunil Mallya Kasaragod ,  Yaser Al-Onaizan

IPC: G06F40/30 ,  G06F40/295 ,  G06N20/00

CPC classification number: G06F40/30 ,  G06F40/295 ,  G06N20/00

Abstract: Methods, systems, and computer-readable media for event extraction from documents with co-reference are disclosed. An event extraction service identifies one or more trigger groups in a document comprising text. An individual one of the trigger groups comprises one or more textual references to an occurrence of an event. The one or more trigger groups are associated with one or more semantic roles for entities. The event extraction service identifies one or more entity groups in the document. An individual one of the entity groups comprises one or more textual references to a real-world object. The event extraction service assigns one or more of the entity groups to one or more of the semantic roles. The event extraction service generates an output indicating the one or more trigger groups and one or more entity groups assigned to the semantic roles.

公开(公告)号：US11902396B2

公开(公告)日：2024-02-13

申请号：US15660860

申请日：2017-07-26

Applicant: Amazon Technologies, Inc.

Inventor： Sunil Mallya Kasaragod ,  Aran Khanna ,  Calvin Yue-Ren Kuo

IPC: H04L67/562 ,  H04L12/02 ,  H04L67/125 ,  H04W84/12

CPC classification number: H04L67/562 ,  H04L12/02 ,  H04L67/125 ,  H04W84/12

Abstract: Edge devices of a network collect data. An edge device may determine whether to process the data using a local data processing model or to send the data to a tier device. The tier device may receive the data from the edge device and determine whether to process the data using a higher tier data processing model of the tier device. If the tier device determines to process the data, then the tier device processes the data using the higher tier data processing model, generates a result based on the processing, and sends the result to an endpoint (e.g., back to the edge device, to another tier device, or to a control device). If the tier device determines not to process the data, then the tier device may send the data on to another tier device for processing by another higher tier model.

公开(公告)号：US11861039B1

公开(公告)日：2024-01-02

申请号：US17035437

申请日：2020-09-28

Applicant: Amazon Technologies, Inc.

Inventor： Yahor Pushkin ,  Sravan Babu Bodapati ,  Sunil Mallya Kasaragod ,  Sameer Karnik ,  Abhinav Goyal ,  Yaser Al-Onaizan ,  Ravindra Manjunatha ,  Kalpit Dixit ,  Alok Kumar Parmesh ,  Syed Kashif Hussain Shah

IPC: G06F21/62 ,  G06F16/903 ,  G06F3/06 ,  G06N20/00

CPC classification number: G06F21/6245 ,  G06F3/0619 ,  G06F3/0623 ,  G06F3/0683 ,  G06F16/90344 ,  G06N20/00

Abstract: Various embodiments of a hierarchical system or method of identifying sensitive content in data is described. In some embodiments, sensitive data classifiers local to a data storage system can analyze a plurality of data items and classify at least some data items as potentially containing sensitive data. The sensitive data classifiers can provide the classified data items to a separate sensitive data discovery component. The sensitive data discovery component can, in some embodiments, obtain the classified data items, perform a sensitive data location analysis on the classified data items to identify a location of sensitive data within some of the classified data items, and generate location information for the sensitive data within the data items containing sensitive data. The sensitive data discovery component can provide to a destination this information, in some embodiments, where the destination might redact, tokenize, highlight, or perform other actions on the located sensitive data.

公开(公告)号：US11412574B2

公开(公告)日：2022-08-09

申请号：US17227194

申请日：2021-04-09

Applicant: Amazon Technologies, Inc.

Inventor： Sunil Mallya Kasaragod ,  Aran Khanna ,  Calvin Yue-Ren Kuo

IPC: G06F16/30 ,  H04W84/12 ,  H04L67/52 ,  H04W88/02 ,  H04L67/10 ,  H04L67/12 ,  H04W88/08

Abstract: A hub device of a network receives data from edge devices and generates a local result. The hub device also sends the data to a remote provider network and receives a result from the remote provider network, wherein the result is based on the data received from the edge devices. The hub device then generates a response based on the local result or the received result. The hub device may determine to correct the local result based on the result received from the remote provider network, and generate the response based on the corrected result. The hub device may generate an initial response before receiving the result from the provider network. For example, the hub device may determine that the confidence level for the local result is above the threshold level and in response, generate the initial response based on the local result.