Abstract: The present disclosure provides systems and methods for an interactive user interface that allows for one or more submissions of update information related to a point of interest to be reviewed. The system may receive the submission from a computing device. The system may analyze the submission to determine the type of content, such as the name, address, website, photo, etc. related to the point of interest. The type of content may be classified using a machine learning model. The model may compare the content of the submission to a model of the type of content to determine whether the submission is approved for publishing or whether additional information is needed. The system may transmit one or more notifications to the computing device. The notifications may include updates on the workflow status of the submission.

Abstract: The technology relates to updating map data of a mapping service. A mapping service may receive permission to contribute image data captured by a user to the map service. The image data may be uploaded to the map service by a backend service. The map service may provide a recommendation to the backend service including an identification of points of interest in the map data that the image data corresponds to, or an indication that no points of interest were found within the map data that correspond with the image data. The backend service may request the selection of a points of interest the image corresponds to when the recommendation includes one or more points, or request permission from the user to add a new point of interest to the map data.

Abstract: The present disclosure provides systems and methods for an interactive user interface that allows for one or more submissions of update information related to a point of interest to be reviewed. The system may receive the submission from a computing device. The system may analyze the submission to determine the type of content, such as the name, address, website, photo, etc. related to the point of interest. The type of content may be classified using a machine learning model. The model may compare the content of the submission to a model of the type of content to determine whether the submission is approved for publishing or whether additional information is needed. The system may transmit one or more notifications to the computing device. The notifications may include updates on the workflow status of the submission.

Abstract: Examples of systems and methods for automatic population of electronic documents are described. In an example, a digital base document having the information to be populated in a data field of the electronic document may be obtained. From the digital base document a data item to provide the information may be extracted. Further, for the digital base document, a similarity score may be computed with respect to each document type defined in predefined mapping data, the predefined mapping data including, for each document type, a weight associated with data items occurring in the document type, the weight being associated based on the importance of the data item to the document. Based on the similarity score, a document type of the digital base document may be identified. Further, based on a position of the data item in the digital base document and the identified document type, the data field may be populated.

Abstract: A device may receive information related to connections between two or more attendees of an event or subsequent interactions between the two or more attendees. The device may process the information using a set of techniques to permit an analysis of the connections and the subsequent interactions. The device may determine a score related to the event based on a result of analyzing the connections and the subsequent interactions. The score may indicate a level of success of the event with respect to the connections or the subsequent interactions. The device may perform an action based on the score.

Abstract: Examples of systems and methods for automatic population of electronic documents are described. In an example, a digital base document having the information to be populated in a data field of the electronic document may be obtained. From the digital base document a data item to provide the information may be extracted. Further, for the digital base document, a similarity score may be computed with respect to each document type defined in predefined mapping data, the predefined mapping data including, for each document type, a weight associated with data items occurring in the document type, the weight being associated based on the importance of the data item to the document. Based on the similarity score, a document type of the digital base document may be identified. Further, based on a position of the data item in the digital base document and the identified document type, the data field may be populated.

Abstract: A device receives, from a tag reader device of a plurality of tag readers, information associated with a scan of a tag, where each of the plurality of tag readers is configured to read a different type of tag. The device determines, based on the information associated with the scan, a tag reader type associated with the tag reader device, where the plurality of tag readers is associated with a corresponding plurality of tag reader types. The device includes a plurality of parsers associated with the plurality of tag reader types, and identifies a parser, included in the device, associated with the tag reader type associated with the tag reader device. The device determines, using the parser, a tag identifier based on the information associated with the scan. Based on determining that the tag identifier is valid, the device transmits the information associated with the scan to a server.

Abstract: A device receives media data from one or more streaming devices, receives educational data from one or more server devices, and receives Internet of Things (IoT) data from one or more IoT devices. The device pre-processes the media data, the educational data, and the IoT data to generate pre-processed data, and generates one or more machine learning models based on the pre-processed data. The device optimizes parameters for the one or more machine learning models, and validates the one or more machine learning models, based on optimizing the parameters for the one or more machine learning models, to generate one or more validated machine learning models. The device determines, based on the one or more validated machine learning models, recommendations for learning services that are synchronized, and causes at least one of the learning services to be implemented based on the recommendations for the learning services.

Abstract: A device receives, from a tag reader device of a plurality of tag readers, information associated with a scan of a tag, where each of the plurality of tag readers is configured to read a different type of tag. The device determines, based on the information associated with the scan, a tag reader type associated with the tag reader device, where the plurality of tag readers is associated with a corresponding plurality of tag reader types. The device includes a plurality of parsers associated with the plurality of tag reader types, and identifies a parser, included in the device, associated with the tag reader type associated with the tag reader device. The device determines, using the parser, a tag identifier based on the information associated with the scan. Based on determining that the tag identifier is valid, the device transmits the information associated with the scan to a server.

Abstract: A mobile application portfolio management system that estimates performance of a mobile application portfolio on various metrics and provides suggestions for improvements is disclosed. The mobile application portfolio manager calculates different KPIs for estimating performance of the mobile applications within the mobile application portfolio. The KPIs that underperform their respective thresholds are analyzed to isolate the elements of the KPIs that result in subpar performances by the KPIs. Various corrective actions to improve the performance of the elements of the KPIs can be derived based on the rules configured within the mobile application portfolio management system.

Abstract: An example device manager gateway includes one or more memories; and one or more processors, communicatively couple to the one or more memories, to identify a plurality of short range wireless communication devices; cause a plurality of short range wireless communication sessions to be established, the plurality of short range wireless communication sessions being established with the plurality of short range wireless communication devices; determine services associated with the plurality of short range wireless communication devices; identify an association between two or more of the short range wireless communication devices of the plurality of short range wireless communication devices; aggregate data associated with the services based on the association between two or more short range wireless communication devices of the plurality of short range wireless communication devices; and/or perform an action associated with the aggregated data and the two or more short range wireless communication devices.

Abstract: A device may receive information related to connections between two or more attendees of an event or subsequent interactions between the two or more attendees. The device may process the information using a set of techniques to permit an analysis of the connections and the subsequent interactions. The device may determine a score related to the event based on a result of analyzing the connections and the subsequent interactions. The score may indicate a level of success of the event with respect to the connections or the subsequent interactions. The device may perform an action based on the score.

Abstract: A mobile application portfolio management system that estimates performance of a mobile application portfolio on various metrics and provides suggestions for improvements is disclosed. The mobile application portfolio manager calculates different KPIs for estimating performance of the mobile applications within the mobile application portfolio. The KPIs that underperform their respective thresholds are analyzed to isolate the elements of the KPIs that result in subpar performances by the KPIs. Various corrective actions to improve the performance of the elements of the KPIs can be derived based on the rules configured within the mobile application portfolio management system.

Abstract: An apparatus for processing substrates is described. More particularly, embodiments of the present disclosure relate to an improved substrate support for heating and cooling substrates using turbulent flow during processing. By creating a turbulent flow within the channels, a greater amount of heat is transferred in a shorter period of time. The present design is cost effective and advantageously provides for a more uniform distribution of temperature transfer. In one embodiment, a substrate support assembly is disclosed. The substrate support assembly includes a electrostatic chuck with a surface that is in contact with a substrate and a support plate adjacent the electrostatic chuck. The support plate includes one or more channels, one or more end spaces, and one or more plugs. The substrate support assembly also includes a shaft coupled to the support plate.