Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example method includes, at an electronic device having one or more processors and memory, receiving an utterance including a user request, determining a natural language representation of the user request, determining a first software process associated with the natural language representation, determining whether the natural language representation can be executed by a task flow of the first software process, and in accordance with a determination that the natural language representation cannot be executed by the task flow of the first software process: determining a set of transformation instructions, determining a revised natural language representation using the set of transformation instructions, and providing the revised natural language representation to a second software process.

Abstract: Embodiments described herein relate to wireless communications, including methods and apparatus for dynamically selecting subscriber identity module (SIM) profiles, electronic SIM (eSIM) profiles, multi-SIM operating modes, and/or wireless access networks for network slice based applications of wireless devices. A wireless device can include at least two SIM/eSIM profiles and switch use of SIM/eSIM profiles, change between dual SIM operating modes, and/or select a registration mode based on requirements of one or more applications in use and availability of network slices via different wireless networks.

Abstract: Embodiments described herein include methods and apparatus for dynamically selecting antenna settings for reception of wireless signals in multiple radio frequency band by wireless devices. A wireless device includes at least two SIM/eSIM profiles that each use different radio frequency bands and dynamically selects an antenna tuner setting based on requirements of one or more applications in use and key radio frequency performance indicators. In some embodiments, the antenna hardware tuner setting is selected to improve paging reception for a secondary SIM/eSIM from a second cellular wireless network when applications communicating using a first SIM/eSIM via a first cellular wireless network can accommodate performance degradation for a period of time.

Abstract: A wireless communication system may adapt physical downlink control channel (PDCCH) monitoring behaviors using downlink control information (DCI). The change in monitoring behavior may be skipping or switching. The timeline for applying switching or skipping may be applied after a reference point and a processing time. In some embodiments, the processing time may be either based on UE processing, network processing, or a combination.

Abstract: A wireless device may connect, using a first subscriber identity module (SIM), to a first base station according to a first radio access technology (RAT) and a second base station according to a second RAT. The wireless device may also connect, using a second SIM, to a third base station according to the first RAT. The wireless device may, in response to the second SIM performing a call according to the first RAT, disable the first RAT for the first SIM and perform, using the first SIM, data communication according to the second RAT while the call is performed using the second SIM.

Abstract: The present disclosure describes a semiconductor structure that is resistant to induced eddy currents. The semiconductor device includes a substrate, a device layer having electronic devices on the substrate, and a metallization layer above the device layer. The first metallization layer includes first and second terminal traces, a switch, and capacitors. A first terminal of a capacitor of the capacitors is coupled to the first terminal trace via the switch. A second terminal of the capacitor is coupled to the second terminal trace. The first and second terminal traces are disposed along the same side of the capacitors.

Abstract: A classification model is generated based on historical exercise information. User exercise information is classified into an exercise category using the classification model. Recommendations based on the exercise category is identified. A customized exercise recommendation is determined from the identified recommendations based on a comparison of the user exercise information and expected progress data. This customized recommendation is provided to a user device for consumption.

Abstract: Recording indicators for devices with cameras that provide protection from tampering so that the recording indicators cannot be easily disabled or masked. Recording indicators that are external to the camera lens and that emit visible light in an encrypted pattern are described. The device may process captured frames to detect the encrypted pattern; if the encrypted pattern cannot be detected, recording is disabled. In addition, modular accessories are described that the user has to attach to the device to enable recording; the presence of the modular attachment indicates to persons in the environment that they may be being recorded.

Abstract: Aspects of the subject technology include accessing, by an electronic device, a plurality of lines of text data and text attributes corresponding to the plurality of lines of the text data. Aspects may also include, for each respective line of the plurality of lines of the text data, determining whether the respective line and the subsequent line correspond to separate paragraphs within the text data based on a first of the text attributes that corresponds to the respective line of the plurality of lines with a second of the text attributes that corresponds to a subsequent line of the plurality of lines. Aspects may further include generating output data for the plurality of lines and performing at least one process for the plurality of lines of the text data using the generated output data.

Abstract: A head-mounted device having a plurality of electrodes configured to detect optical events such as the movement of one or more eyes or coarse eye gestures is disclosed. In some examples, the one or more electrodes can be coupled to dielectric elastomer materials whose shape can be changed to vary contact between a user of the head-mounted device and the one or more electrodes to ensure sufficient contact and electrode signal quality. In some examples, the one or more electrodes can be coupled to pressure sensors and control circuitry to monitor and adjust the applied pressure. In some examples, the optical events can be used as triggers for operating the device, including transitioning between operational power modes. In some examples, the triggers can invoke higher resolution sensing capabilities of the head-mounted device. In some examples, the electrodes can be used as an on-head detector to wake-up and/or unlock the device.

Abstract: An apparatus, method, system and machine-readable medium. The apparatus may be an apparatus of a New Radio (NR) gNodeB or of a NR User Equipment (UE), and may include a memory and processing circuitry. The processing circuitry for the apparatus of the gNodeB is to: configure a plurality of bandwidth parts (BWPs) associated with respective numerologies; determine a physical downlink control channel (PDCCH) including downlink control information (DCI), the DCI including information on scheduled resources including BWP index for a data transmission to or from a User Equipment (UE), the data transmission to occupy one of the plurality of BWPs or multiple ones of the plurality of BWPs; encode the PDCCH for transmission; and process the data transmission based on the DCI.

Abstract: A user equipment (UE) is configured to join a standalone non-public network (SNPN). The receives SNPN information from one or more broadcast messages transmitted from a base station serving as an onboarding base station for the SNPN, determines whether the onboarding base station may be used for onboarding by the UE based on the SNPN information and UE SNPN information stored at the UE and onboards the UE to the SNPN when it is determined that the onboarding base station may be used for onboarding by the UE.

Abstract: Frame capture techniques may include obtaining, from at least one sensor, sensor data indicating a motion rate of the system in the environment, receiving a request for the image data of the environment, and selecting, by the controller, a frame rate based on one or more requesting client applications and the sensor data. In addition, the frame tracking techniques may include detecting, based on a motion parameter in the sensor data and by the controller, that a motion of the system falls below a predetermined threshold; and triggering frame capture by the camera in accordance with the sensor data and the selected frame rate, the frame capture being triggered in accordance with the request and the detection.

Abstract: Various implementations disclosed herein include devices, systems, and methods that display visual content as part of a 3D environment and add audio corresponding to the visual content. The audio may be spatialized to be from one or more audio source locations within the 3D environment. For example, a video may be presented on a virtual surface within an extended reality (XR) environment while audio associated with the video is spatialized to sound as if it is produced from an audio source location corresponding to that virtual surface. How the audio is provided may be determined based on the position of the viewer (e.g., the user or his/her device) relative to the presented visual content.

Abstract: This application describes methods and apparatus to manage data transport across multiple radio links for 5G-capable wireless devices. Under certain criteria, including performance of at least one radio link, a mobility state of a 5G-capable wireless device, and data transport requirements for a latency sensitive application session, the 5G-capable wireless device sends buffer status report (BSR) requests for one or more both of the radio links to prioritize and transition uplink (UL) data between radio links before a measurement reporting threshold is met. In some embodiments, the 5G-capable wireless device proactively sends BSR requests for radio resources before the UL data is generated by the latency sensitive application session. In some embodiments, the 5G-capable wireless device duplicates UL data for the latency sensitive application session across multiple radio links.

Abstract: Implementations of the subject technology provide object detection and/or classification for electronic devices. Object detection and/or classification can be performed using a radar sensor of an electronic device. The electronic device may be a portable electronic device. In some examples, object classification using a radar sensor can be based on an identification of user motion using radar signals and/or based on extraction of surface features from the radar signals. In some examples, object classification using a radar sensor can be based on time-varying surface features extracted from the radar signals. Surface features that can be extracted from the radar signals include a radar cross-section (RCS), a micro-doppler signal, a range, and/or one or more angles associated with one or more surfaces of the object.

Abstract: Processing of ambience and speech can include extracting from audio signals, ambience and speech signals. One or more spatial parameters can be generated that define spatial characteristics of ambience sound in the one or more ambience audio signals. The primary speech signal, the one or more ambience audio signals, and the spatial parameters can be encoded into one or more encoded data streams. Other aspects are described and claimed.

Abstract: Keyboards and other electronic input devices have a key or keys with glyphs that are invisible to an unaided human eye in a first condition, such as when an underlying display attached to the key is not emitting light. The glyphs are visible through the key or keys when the display emits light. A one-way visibility layer or structure obscures the visibility of the display when viewed from above, but when the display emits light, the light penetrates through the one-way visibility layer, such as by passing through an array of microperforations in the key, and is visible to an onlooker.

Abstract: Generating a three-dimensional virtual representation of a three-dimensional physical object can be based on capturing or receiving a capture bundle or a set of images. In some examples, generating the virtual representation of the physical object can be facilitated by user interfaces for identifying a physical object and capturing a set of images of the physical object. Generating the virtual representation can include previewing or modifying a set of images. In some examples, generating the virtual representation of the physical object can include generating a first representation of the physical object (e.g., a point cloud) and/or generating a second three-dimensional virtual representation of the physical object (e.g., a mesh reconstruction). In some examples, a visual indication of the progress of the image capture process and/or the generation of the virtual representation of the three-dimensional object can be displayed, such as in a capture user interface.

Abstract: Embodiments relate to managing tasks that when executed by a neural processor circuit instantiates a neural network. The neural processor circuit includes neural engine circuits and a neural task manager circuit. The neural task manager circuit includes multiple task queues and a task arbiter circuit. Each task queue stores a reference to a task list of tasks for a machine learning operation. Each task queue may be associated with a priority parameter. Based on the priority of the task queues, the task arbiter circuit retrieves configuration data for a task from a memory external to the neural processor circuit, and provides the configuration data to components of the neural processor circuit including the neural engine circuits. The configuration data programs the neural processor circuit to execute the task. For example, the configuration data may include input data and kernel data processed by the neural engine circuits to execute the task.