Abstract: A device may receive parameters to test modifications to an application associated with a product and/or a service, and may process data identifying the parameters and the application, with a machine learning model, to generate test applications for testing corresponding modifications to the application. The device may define test group sizes of test groups for testing the test applications, and may receive, from user devices, requests for accessing the application. The device may assign, based on the test group sizes, sets of the user devices to the test groups for testing the test applications, and may provide the test applications concurrently to the corresponding sets of the user devices based on the test groups. The device may receive, from the corresponding sets of the user devices, feedback associated with the test applications, and may perform one or more actions based on the feedback.

Abstract: An illustrative extended reality (XR) presentation device detects, during an XR experience presented to a user of the XR presentation device, a selection by the user of a virtual anchor object disposed at a particular location with respect to a 3D scene within which the XR experience is presented. The XR presentation device identifies, based on anchor data associated with the virtual anchor object, a predesignated data payload that is stored by a payload server system. The payload server system is separate from the XR presentation device and stores, together with the predesignated data payload, target metadata indicating a target device to which the predesignated data payload is to be provided. The XR presentation device directs the payload server system to provide the predesignated data payload to the target device. Corresponding methods and systems are also disclosed.

Abstract: A system described herein may provide a technique for compressing sets of files using a packet-based conversion algorithm. The algorithm may compress and decompress files using a packet-based approach, whereby packet-sized sections of file data are compressed and arranged in a specified order such that the sections may be retrieved, decompressed, and reassembled to restore the original files as needed. The packet-based approach may allow for the size of a file set to be dramatically reduced, while the resulting compressed data may not be easily accessed by unauthorized entities. Compression and decompression may utilize a pointer associated with each file in the set of files. The pointer may be generated based on data associated with a file, such as file name, size, and/or other attributes or metadata. The compressed packets may be arranged relative to the pointer within a compressed file such that the packets may be identified and decompressed.

Abstract: A system described herein may provide a technique for compressing sets of files using a packet-based conversion algorithm. The algorithm may compress and decompress files using a packet-based approach, whereby packet-sized sections of file data are compressed and arranged in a specified order such that the sections may be retrieved, decompressed, and reassembled to restore the original files as needed. The packet-based approach may allow for the size of a file set to be dramatically reduced, while the resulting compressed data may not be easily accessed by unauthorized entities. Compression and decompression may utilize a pointer associated with each file in the set of files. The pointer may be generated based on data associated with a file, such as file name, size, and/or other attributes or metadata. The compressed packets may be arranged relative to the pointer within a compressed file such that the packets may be identified and decompressed.

Abstract: A user device may receive an image of an area receiving signals from a wireless router; determine a received signal strength indicator (RSSI) based on a signal from the wireless router; determine an initial virtual point in the image; calculate geographical coordinates of the initial virtual point; calculate a signal strength of the wireless router at the geographical coordinates and based on the RSSI; provide for display an augmented reality indication of the signal strength in the image and at the initial virtual point; receive inputs indicating movements of the initial virtual point to new virtual points in the image; calculate new geographical coordinates of the new virtual points; calculate new signal strengths of the wireless router at the new geographical coordinates and based on the RSSI; and provide for display augmented reality indications of the new signal strengths in the image and at the new virtual points.

Abstract: A user device may receive an image of an area receiving signals from a wireless router; determine a received signal strength indicator (RSSI) based on a signal from the wireless router; determine an initial virtual point in the image; calculate geographical coordinates of the initial virtual point; calculate a signal strength of the wireless router at the geographical coordinates and based on the RSSI; provide for display an augmented reality indication of the signal strength in the image and at the initial virtual point; receive inputs indicating movements of the initial virtual point to new virtual points in the image; calculate new geographical coordinates of the new virtual points; calculate new signal strengths of the wireless router at the new geographical coordinates and based on the RSSI; and provide for display augmented reality indications of the new signal strengths in the image and at the new virtual points.

Abstract: A system described herein may provide a technique for compressing sets of files using a packet-based conversion algorithm. The algorithm may compress and decompress files using a packet-based approach, whereby packet-sized sections of file data are compressed and arranged in a specified order such that the sections may be retrieved, decompressed, and reassembled to restore the original files as needed. The packet-based approach may allow for the size of a file set to be dramatically reduced, while the resulting compressed data may not be easily accessed by unauthorized entities. Compression and decompression may utilize a pointer associated with each file in the set of files. The pointer may be generated based on data associated with a file, such as file name, size, and/or other attributes or metadata. The compressed packets may be arranged relative to the pointer within a compressed file such that the packets may be identified and decompressed.

Abstract: A device may receive parameters to test modifications to an application associated with a product and/or a service, and may process data identifying the parameters and the application, with a machine learning model, to generate test applications for testing corresponding modifications to the application. The device may define test group sizes of test groups for testing the test applications, and may receive, from user devices, requests for accessing the application. The device may assign, based on the test group sizes, sets of the user devices to the test groups for testing the test applications, and may provide the test applications concurrently to the corresponding sets of the user devices based on the test groups. The device may receive, from the corresponding sets of the user devices, feedback associated with the test applications, and may perform one or more actions based on the feedback.