Abstract: In examples, an electronic device comprises a camera to capture an image of a space and a processor coupled to the camera. The processor is to receive the image of the space from the camera; identify a person in the image and a presentation device in the image; identify a head position of the person based on the image; determine whether the person is viewing the presentation device based on the head position; and perform an action relating to the presentation device based on the determination.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive from a base station a measurement configuration signal comprising a measurement resource configuration associated with a cross-link interference signal strength measurement. The UE may perform the cross-link interference signal strength measurement for one or more UEs associated with one or more intra-frequency neighboring cells according to the measurement resource configuration, wherein the cross-link interference signal strength measurement is performed during an intra-frequency measurement gap. The UE may transmit a report of the cross-link interference signal strength measurement to the base station.

Abstract: An augmented reality (AR) node location and activation technique for use in an AR system in a process plant or other field environment quickly and easily detects an AR node in a real-world environment and is then able to activate an AR scene within the AR system, which improves the usability and user experience of the AR system. The AR node location and activation system generally enables users to connect to and view an AR scene within an AR system or platform even when the user is not directly at an existing AR node, when the user is experiencing poor lighting conditions in the real-world environment and in situations in which the user is unfamiliar with the AR nodes that are in the AR system database.

Abstract: A system, method, and computer-readable medium are disclosed for digital therapeutics directed to patient care specific to a disease. Digital therapeutics (DTx) knowledge models are created and their corpus is validated. Condition and symptom models are created for processing the digital therapeutics (DTx) knowledge models. Clinical and condition models are converted to reconfigurable runtime implementations. Architecture and implementation subsets of knowledge models, language models, condition and symptom models, technology and tools are created. Digital therapeutics (DTx) natural language models are created. Multiple program content versions of natural language content, clinical physician, and condition models are created.