Abstract: Systems and methods for dynamic user profile projection are provided. One or more aspects of the systems and methods includes computing, by a prediction component, a predicted number of lookups for a future time period based on a lookup history of a user profile using a lookup prediction model; comparing, by the prediction component, the predicted number of lookups to a lookup threshold; and transmitting, by a projection component, the user profile to an edge server based on the comparison.

Abstract: Systems and methods for dynamic user profile management are provided. One aspect of the systems and methods includes receiving, by a lookup component, a request for a user profile; computing, by a profile component, a time-to-live (TTL) refresh value for the user profile based on a lookup history of the user profile; updating, by the profile component, a TTL value of the user profile based on the request and the TTL refresh value; storing, by the profile component, the user profile and the updated TTL value in the edge database; and removing, by the edge database, the user profile from the edge database based on the updated TTL value.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: Some embodiments of the present application include obtaining communications with a user associated with a user account of a service. The communications may be analyzed using natural language processing to detect an instance of a first trigger within the communications. If detected, a data flag can be assigned to a data structure associated with the user account. In some embodiments, subsequent to the data flag being assigned to the data structure, a request may be obtained for a communication to be sent to the user. For instance, the request may be obtained responsive to determining that a value associated with the user account satisfies a condition. Based on the data flag and the request, the communication may be prevented from being sent to the user.

Abstract: Some embodiments of the present application include obtaining communications with a user associated with a user account of a service. The communications may be analyzed using natural language processing to detect an instance of a first trigger within the communications. If detected, a data flag can be assigned to a data structure associated with the user account. In some embodiments, subsequent to the data flag being assigned to the data structure, a request may be obtained for a communication to be sent to the user. For instance, the request may be obtained responsive to determining that a value associated with the user account satisfies a condition. Based on the data flag and the request, the communication may be prevented from being sent to the user.

Abstract: An automated content labeling system is disclosed. An example embodiment is configured to: register a plurality of labelers to which annotation tasks are assigned; populate a labeling queue with content data to be annotated; assign annotation tasks from the labeling queue to the plurality of labelers; and provide a superpixel annotation tool enabling the plurality of labelers to configure a size of a segment cluster in an image of the content data, and select each segment cluster to be included in a segmentation feature with a specified object class, the segment clusters including similarly colored pixels from the image.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: An automated content labeling system is disclosed. An example embodiment is configured to: register a plurality of labelers to which annotation tasks are assigned; populate a labeling queue with content data to be annotated; assign annotation tasks from the labeling queue to the plurality of labelers; and provide a superpixel annotation tool enabling the plurality of labelers to configure a size of a segment cluster in an image of the content data, and select each segment cluster to be included in a segmentation feature with a specified object class, the segment clusters including similarly colored pixels from the image.

Abstract: Devices for cutting an aerial obstacle are provided. Such devices may comprise a mounting frame; an anchor point for attachment to a hoist; a cutter mounted to the mounting frame, the cutter having opposing cutting blades for engaging and cutting the obstacle when positioned therebetween; a power supply mounted to the mounting frame, the power supply providing power to the cutter for actuating the cutting blades; and a guiding frame extending from the mounting frame, the guiding frame providing an inner guiding surface for directing the obstacle to a position between the opposing cutting blades of the cutter. Methods of using such devices for cutting aerial obstacles, such as cables, beams and/or branches, are also provided herein.