Abstract: In some embodiments, a camera actuator includes an actuator base, an autofocus voice coil motor, and an optical image stabilization voice coil motor. In some embodiments, the autofocus voice coil motor includes a lens carrier mounting attachment moveably mounted to the actuator base, a plurality of shared magnets mounted to the base, and an autofocus coil fixedly mounted to the lens carrier mounting attachment for producing forces for moving a lens carrier in a direction of an optical axis of one or more lenses of the lens carrier. In some embodiments, the optical image stabilization voice coil motor includes an image sensor carrier moveably mounted to the actuator base, and optical image stabilization coils moveably mounted to the image sensor carrier within the magnetic fields of the shared magnets, for producing forces for moving the image sensor carrier in a plurality of directions orthogonal to the optical axis.

Abstract: Techniques for transmitting and receiving beamformed transmission(s) of a common search space of a DL (Downlink) control channel are discussed. One example embodiment that can be employed at a UE (User Equipment) comprises processing circuitry configured to: select a set of receive beamforming weights for a DL (Downlink) control channel; and decode one or more control channel sets from a common search space of the DL control channel, wherein each control channel set of the one or more control channel sets is mapped to an associated symbol of one or more symbols of a slot, wherein each control channel set of the one or more control channel sets has an associated transmit beamforming, and wherein each control channel set of the one or more control channel sets comprises a common set of control information.

Abstract: An electronic device may have a display with an array of pixels. The device may have an array of components such as an array of light sensors for capturing fingerprints of a user through an array of corresponding transparent windows in the display. A capacitive touch sensor, proximity sensor, force sensor, or other sensor may be used by control circuitry in the device to monitor for the presence of a user's finger over the array of light sensors. In response, the control circuitry can direct the display to illuminate a subset of the pixels, thereby illuminating the user's finger and causing reflected light from the finger to illuminate the array of light sensors for a fingerprint capture operation. The display may have display driver circuitry that facilitates the momentary illumination of the subset of pixels with uniform flash data while image data is displayed in other portions of the display.

Abstract: The subject technology receives information associated with a machine learning model. The subject technology determines a set of metrics based at least in part on the information associated with the machine learning model, where the set of metrics corresponds to respective indicators of performance of the machine learning model based on input data from a data set, the set of metrics further including a number of errors produced by the machine learning model when applied to the input data from the data set. Further, the subject technology displays a user interface based at least in part on the set of metrics, where the user interface includes a set of graphical elements, and the set of graphical elements further includes representations of the set of metrics, and representations of the input data from the data set utilized by the machine learning model.

Abstract: If a user loses an electronic device that has the capability to conduct financial transactions, the user may report that the electronic device is lost using a lost-device software application to a management electronic device associated with a provider of the electronic device. In response to receiving this information, a disabling command is sent to a payment network associated with the financial account of the user to temporarily disable use of the electronic device to conduct the financial transactions. In particular, the electronic device may include a secure element that stores a payment applet for a financial account, and the disabling command may disable a mapping from a virtual identifier for the financial account to a financial primary account number. Subsequently, if the user finds the electronic device, the user may re-enable the capability (and, thus, the mapping) by providing authentication information to the electronic device.

Abstract: Systems and methods for semantic labeling of point clouds using images. Some implementations may include obtaining a point cloud that is based on lidar data reflecting one or more objects in a space; obtaining an image that includes a view of at least one of the one or more objects in the space; determining a projection of points from the point cloud onto the image; generating, using the projection, an augmented image that includes one or more channels of data from the point cloud and one or more channels of data from the image; inputting the augmented image to a two dimensional convolutional neural network to obtain a semantic labeled image wherein elements of the semantic labeled image include respective predictions; and mapping, by reversing the projection, predictions of the semantic labeled image to respective points of the point cloud to obtain a semantic labeled point cloud.

Abstract: Video coding schemes may include one or more filters to reduce coding artifacts and improve video quality. These filters may be applied to decode video data in a predetermined sequence. The output from one or more of these filters may be selected for different images, blocks, or sets of video data and then copied and/or routed to a display or a buffer storing reference data that is used to decode other video data in a data stream. Providing the ability to select which filter output is used for display and as a reference may result in better video quality for multiple types of video data. The filters that are selected for display and for reference may be different and may vary for different images, blocks, and data sets.

Abstract: Techniques are disclosed for generating device cluster capability information for a cluster of devices in a network environment. Capability information can specify capabilities of the devices in the cluster. A first user device can generate device capabilities for the first user device and obtain device capabilities for other devices in the cluster. The first user device can generate cluster capability information providing an intersection of the first set of device capabilities and device capabilities of the other user devices in the cluster. The first user device can obtain cluster capability information for other clusters in the network environment and receive a request from a service user device to perform a specific task. The first user device can transmit cluster capability information relating to a selected cluster that corresponds with the request.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generates a three-dimensional (3D) model based on a selected subset of the images and depth data corresponding to each of the images of the subset. For example, an example process may include acquiring sensor data during movement of the device in a physical environment including an object, the sensor data including images of a physical environment captured via a camera on the device, selecting a subset of the images based on assessing the images with respect to motion-based defects based on device motion and depth data, and generating a 3D model of the object based on the selected subset of the images and depth data corresponding to each of the images of the selected subset.

Abstract: Embodiments are disclosed for disabling/re-enabling head tracking for spatial audio applications. In an embodiment, a method comprises: obtaining, using one or more processors of an auxiliary device worn by a user, motion data; tracking, using the one or more processors, the user's head based at least in part on the motion data; determining, using the one or more processors, whether or not the user is walking based at least in part on the motion data; in accordance with determining that the user is walking, determining if a source device configured to deliver spatial audio to the auxiliary device is static for a specified period of time; and in accordance with determining that the user is walking and the source device is static for the specified period of time, disabling the head tracking.

Abstract: Embodiments are disclosed for a feature-based simultaneous localization and mapping (SLAM) system and method that generates radio maps for environments that are not accessible for surveying. More accurate radio maps are generated for an unsurveyed environment by determining a best estimate of a mobile device state from harvested traced data that maximizes a posterior probability of the mobile device state given measurements, landmarks and loop constraints.

Abstract: Embodiments relate to a neural engine circuit that includes an input buffer circuit, a kernel extract circuit, and a multiply-accumulator (MAC) circuit. The MAC circuit receives input data from the input buffer circuit and a kernel coefficient from the kernel extract circuit. The MAC circuit contains several multiply-add (MAD) circuits and accumulators used to perform neural networking operations on the received input data and kernel coefficients. MAD circuits are configured to support fixed-point precision (e.g., INT8) and floating-point precision (FP16) of operands. In floating-point mode, each MAD circuit multiplies the integer bits of input data and kernel coefficients and adds their exponent bits to determine a binary point for alignment. In fixed-point mode, input data and kernel coefficients are multiplied. In both operation modes, the output data is stored in an accumulator, and may be sent back as accumulated values for further multiply-add operations in subsequent processing cycles.

Abstract: A hybrid sensor shift platform for an optical image stabilization (OIS) actuator mechanism in compact camera modules includes two or more substrates. A top substrate is composed of an organic material (e.g., a resin) to reduce mass, reduce magnetic interaction with permanent magnets, and improve reliability. One or more lower substrates of the hybrid sensor shift platform are ceramic substrates that provide the benefits of ceramics for connection to the image sensor. The organic substrate is connected via a solder bond process to the lower ceramic substrate(s). The connection between the substrates is reinforced with an under-fill of epoxy that surrounds the solder bonds, thus creating a full interface between the substrates within the overlap.

Abstract: To minimize the width of a non-light-emitting border region around an opening in the active area, data lines may be stacked in the border region. Data line portions may be formed using three metal layers in three different planes within the border region. A metal layer that forms a positive power signal distribution path in the active area may serve as a data line portion in the border region. A metal layer may be added in the border region to serve as a data line portion in the border region. Data line signals may also be provided to pixels on both sides of an opening in the active area using supplemental data line paths. A supplemental data line path may be routed through the active area of the display to electrically connect data line segments on opposing sides of an opening within the display.

Abstract: A device implementing a system for providing content in response to a request includes a processor configured to receive a voice request for content associated with a home environment, the voice request corresponding to a user account, and determine, based on the voice request, not to provide the content via the device. The processor is further configured to select, in response to the determining, a second device from among multiple devices associated with the home environment, wherein the selecting is based at least in part on configuration settings associated with the home environment, and provide for the second device to output the content based on a profile of the user account.

Abstract: An electronic device, while the electronic device is worn over a predefined portion of the user's body, displays, via a display generation component arranged on the electronic device opposite the predefined portion of the user's body, a graphical representation of an exterior view of a body part that corresponds to the predefined portion of the user's body. The electronic device detects a change in position of the electronic device with respect to the predefined portion of the user's body. The electronic device, in response to detecting the change in the position of the electronic device with respect to the predefined portion of the user's body, modifies the graphical representation of the exterior view of the body part that corresponds to predefined portion of the user's body in accordance with the detected change in position of the electronic device with respect to the predefined portion of the user's body.

Abstract: A system for sound localization can include a first electronic device having a microphone to detect a sound, and a second electronic device. A processor can be in communication with the first electronic device and the second electronic device. The processor can receive a first signal from the first electronic device corresponding to the detected sound, determine a location of origin of the detected sound based at least in part on the first signal, and provide a second signal to the second electronic device based at least in part on the location of origin.

Abstract: In some implementations, a computing device can be configured to automatically turn off notifications when generating a notification would cause a disturbance or be unwanted by a user. The device can be configured with quiet hours during which notifications that would otherwise be generated by the computing device can be suppressed. In some implementations, quiet hours can be configured as a time period with a start time and an end time. In some implementations, quiet hours can be derived from application data. For example, calendar data, alarm clock data, map data, etc. can be used to determine when quiet hours should be enforced. In some implementations, the device can be configured with exceptions to quiet hour notification suppression. In some implementations, the user can identify contacts to which the quiet hours notification suppression should not be applied.