Abstract: Aspects of the present disclosure relate to orchestrating calls with an “active call bar” for an artificial reality (XR) environment displayed on an XR device, with a control bar for voice calls that persists across XR experiences. From the active call bar, a user can create a voice call with other users on XR devices, end the call, manage participants of the call, adjust the volume of the call, etc. The user can further see which XR experiences the other users within the party are accessing, and can invite them to join their XR experience. As the user moves between experiences and applications, the active call bar can persist on the user interface. Further, the user can continue the voice call across different experiences regardless of where other users are, i.e., users do not have to be co-located in the same experience to participate in the voice call.

Abstract: Methods for predicting network access probability of data files accessible over a computer network are provided. In one aspect, a method includes generating a primary data vector for a media file based on a stored data representation of the file, and providing the data vector for the file to an algorithm that uses past interaction information for at least one other media file from a collection of media files having a degree of similarity with the media file above a threshold similarity value. The method also includes receiving, as an output of the algorithm, a marketability score for the media file, the score indicative of a likelihood that a user will download the media file. Systems and machine-readable media are also provided.

Abstract: Methods for predicting network access probability of data files accessible over a computer network are provided. In one aspect, a method includes generating a primary data vector for a media file based on a stored data representation of the file, and providing the data vector for the file to an algorithm that uses past interaction information for at least one other media file from a collection of media files having a degree of similarity with the media file above a threshold similarity value. The method also includes receiving, as an output of the algorithm, a marketability score for the media file, the score indicative of a likelihood that a user will download the media file. Systems and machine-readable media are also provided.

Abstract: Sensor systems including an interferometer system are disclosed herein. In a general embodiment, the sensor system includes an optical fiber that is embedded into a sample, where the optical fiber has a reflective tip. The optical fiber is optically coupled to a sensor and a detector of the laser interferometer system. The sensor system further includes a computing device or circuit that is configured to receive electrical signals generated by the detector. The laser source is configured to emit light, which is coupled into the optical fiber. The light travels through the optical fiber until the light reaches the reflective tip, where it is reflected back through the optical fiber. The detector is impacted by the reflected light, and generates an electrical signal based upon the reflected light. The computing device generates a value that is indicative of a behavior of the sample based upon the electrical signal.

Abstract: Methods for predicting network access probability of data files accessible over a computer network are provided. In one aspect, a method includes generating a primary data vector for a media file based on a stored data representation of the file, and providing the data vector for the file to an algorithm that uses past interaction information for at least one other media file from a collection of media files having a degree of similarity with the media file above a threshold similarity value. The method also includes receiving, as an output of the algorithm, a marketability score for the media file, the score indicative of a likelihood that a user will download the media file. Systems and machine-readable media are also provided.

Abstract: Sensor systems including an interferometer system are disclosed herein. In a general embodiment, the sensor system includes an optical fiber that is embedded into a sample, where the optical fiber has a reflective tip. The optical fiber is optically coupled to a sensor and a detector of the laser interferometer system. The sensor system further includes a computing device or circuit that is configured to receive electrical signals generated by the detector. The laser source is configured to emit light, which is coupled into the optical fiber. The light travels through the optical fiber until the light reaches the reflective tip, where it is reflected back through the optical fiber. The detector is impacted by the reflected light, and generates an electrical signal based upon the reflected light. The computing device generates a value that is indicative of a behavior of the sample based upon the electrical signal.