Abstract: Systems, methods, and media for authentication are provided. In accordance with some implementations, the system comprises: a hardware processor that is programmed to: receive, from a device, a message relating to an authentication status of a user account associated with the device; transmit an authentication request to the device that is transmitted to an authentication server; receive, from the device, a response to the authentication request that includes authentication data relating to a session corresponding to the user account on the authentication server; cause an interface to be presented that requests authorization to authenticate the device with the authentication server using the user account; and transmit the authentication data to the device that causes the device to retrieve a corresponding authentication token from the authentication server, wherein the corresponding authentication token authenticates the user account on the device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.

Abstract: A method and system for allocating tasks among processing devices in a data center. The method may include receiving a request to allocate a task to one or more processing devices, the request indicating a required bandwidth for performing the task, a list of predefined processing device groups connected to a host server and indicating availability of the processing device groups included therein for allocation of tasks and available bandwidth for each available processing device group, assigning the task to a processing device group having an available bandwidth greater than or equal to the required bandwidth for performing the task, and updating the list to indicate that each of the processing device group to which the task is assigned and other processing device group sharing at least one processing device is unavailable. The task may be assigned to an available processing device group having a lowest amount of power needed.

Abstract: Three-dimensional occlusion can be used when generating AR display overlays. Depth information can be used to delete portions of an AR element, based on intervening objects between a viewer and the AR element. In cases where the depth information does not impart a complete picture of the intervening objects, additional image processing and object detection systems and techniques can be used to further improve the precision of the occlusion.

Abstract: Hardware transactions or other techniques, such as custom PCIe handling devices, are used to atomically move pages from one hoses memory to another hoses memory. The hosts are connected by one or two non-transparent bridges (NTBs), which make each host's memory and devices available to the other, while allowing each host to reboot independently.

Abstract: This document describes methods, devices, systems, and means for user-equipment-coordination-set (404) selective participation in which a coordinating user equipment (111) determines which user equipments in the user-equipment-coordination-set (404) participate in a joint communication with a base station (121). The coordinating user equipment (111) receives an indication from the base station (121) specifying multiple user equipments to include in the user-equipment-coordination set (702) and determines a first subset of the multiple user equipments to participate in the joint communication with the base station (121) (704). The coordinating user equipment (111) transmits one or more joint-communication-selection messages to the first subset of the multiple user equipments that directs the first subset of the multiple user equipments to participate in the joint communication with the base station (121) (706).

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes obtaining a batch of training items and a ground truth assignment; processing the training items in the batch using the neural network to generate respective embeddings for each of the training items; and adjusting the current values of the network parameters by performing an iteration of a neural network training procedure to optimize an objective function that penalizes the neural network for generating embeddings that do not result in, for each possible clustering assignment other than the ground truth assignment, the oracle clustering score being higher than a clustering score for the possible clustering assignment by at least a structured margin between the possible clustering assignment and the ground truth assignment.

Abstract: A temporal layer containing personalization markers (e.g., placemarks) created by a user at a given time (or time period), can be combined with map imagery, allowing the user (or other users) to show only the personalization markers contained in the temporal layer. Temporal layers can be of arbitrary temporal or geographical size, fully or partially overlapping in time or space, split into smaller temporal layers, logically aligned or combined and/or continuous or non-continuous in time or space. Temporal layers can be stored in a repository where they can be searched and used by others. Temporal layers can be associated with search services (e.g., news search) or search histories (e.g., automatic temporal layers based on search history). A user's personal profile can be compared with other users' personal profiles and the results of the comparison can be used to recommend temporal layers. Advertisements can be associated with temporal layers.

Abstract: A set of media items to be shared with users of a content sharing service is identified. Each of the set of media items corresponds to a video recording generated by a client device that depicts one or more objects corresponding to a real-world event at a geographic location. A positioning of the client device that generated the video recording corresponding to a respective media item of the set of media items is determined. The positioning is determined based on image features depicted in a set of frames of the video recording. A request for content associated with at least one of the real-world event or the geographic location is received from another client device connected to the content sharing service. The set of media items and, for each of the set of media items, an indication of the determined positioning of the client device that generated the corresponding video recording is provided in accordance with the request for content.

Abstract: This document describes a mirror-based microelectromechanical system (MEMS) for optical image stabilization in image-capture systems. The mirror-based MEMS includes a MEMS platform that can rotate about a pitch axis and/or a yaw axis. MEMS rotors drive rotational motion of the MEMS platform. One or more piezo films, flexibly connected to the stationary platform, extend over the MEMS rotors. The piezo films have a resistance value that varies when the piezo films are deformed by the MEMS rotors. The piezo films form a bridge circuit across the MEMS platform, which produces an output voltage that varies with the resistance values. A MEMS mirror, coupled to the MEMS platform, reflects light rays to an image sensor. A microcontroller receives pitch and yaw information from the image sensor. The microcontroller accesses the output voltage and determines how much to move the MEMS platform to compensate for the pitch and yaw of the camera.

Abstract: Implementations described herein relate to methods, devices, and computer-readable media to display a user interface that includes a map portion and a grid portion. A method includes identifying a first set of images that match a first region of a digital map and causing a user interface to be displayed that includes a map portion that corresponds to the first region of the digital map and a grid portion that includes images of the first set. The method further includes receiving user input indicative of a second region of the digital map. The method further includes identifying a second set of images that match the second region of the digital map and updating the user interface such that the map portion of the updated user interface corresponds to the second region of the digital map and the grid portion of the updated user interface includes images of the second set.

Abstract: A media application receives user input that indicates one or more objects to be erased from a media item. The media application translates the user input to a bounding box. The media application provides a crop of the media item based on the bounding box to a segmentation machine-learning model. The segmentation machine-learning model outputs a segmentation mask for one or more segmented objects in the crop of the media item and a corresponding segmentation score that indicates a quality of the segmentation mask.

Abstract: A method includes determining that a user device is located within a specified geographical region, and determining that the user device has an active subscription with a terrestrial network operator operating a terrestrial network within the geographical region, the terrestrial network associated with a primary profile stored on a subscriber identity module of the user device. The method also includes, in response to determining that the user device is located within the geographical region and that the user device has an active subscription with the terrestrial network operator, receiving, from the terrestrial network operator, a secondary profile attached to the active subscription and associated with a non-terrestrial communication network. The method further includes storing the secondary profile on an embedded subscriber identity module on the user device, and communicating via the non-terrestrial communication network using the secondary profile.

Abstract: A media application generates training data that includes a first set of media items and a second set of media items, where the first set of media items correspond to the second set of media items and include distracting objects that are manually segmented. The media application trains a segmentation machine-learning model based on the training data to receive a media item with one or more distracting objects and to output a segmentation mask for one or more segmented objects that correspond to the one or more distracting objects.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for language models using domain-specific model components. In some implementations, context data for an utterance is obtained. A domain-specific model component is selected from among multiple domain-specific model components of a language model based on the non-linguistic context of the utterance. A score for a candidate transcription for the utterance is generated using the selected domain-specific model component and a baseline model component of the language model that is domain-independent. A transcription for the utterance is determined using the score the transcription is provided as output of an automated speech recognition system.

Abstract: A technology for retrieving data from a database. The technology includes receiving a search query specifying a target attribute and a target attribute value, accessing an index to determine one or more target files in which the target attribute value appears, the index including a plurality of attribute values, and for each of the attribute values, one or more files in which the attribute value appears, and retrieving data from the one or more target files.

Abstract: A method of sharing smart home devices between applications may include receiving a request from a first application operating on a control device to share a smart home device that registered with the first application; generating an interface on the control device that displays one or more applications with which the smart home device can be shared; receiving a selection of a second application with which to share the smart home device; and sending information to the second smart home device to register the smart home device.

Abstract: A method includes receiving a training data set including a plurality of training data subsets. From two or more training data subsets in the training data set, the method includes selecting a support set of training examples and a query set of training examples. The method includes determining, using the classification model, a centroid value for each respective class. For each training example in the query set of training examples, the method includes generating, using the classification model, a query encoding, determining a class distance measure, determining a ground-truth distance, and updating parameters of the classification model. For each training example in the query set of training examples identified as being misclassified, the method further includes generating a standard deviation value, sampling a new query, and updating parameters of the confidence model based on the new query encoding.

Abstract: Implementations relate to providing information items for display during a communication session. In some implementations, a computer-implemented method includes receiving, during a communication session between a first computing device and a second computing device, first media content from the communication session. The method further includes determining a first information item for display in the communication session based at least in part on the first media content. The method further includes sending a first command to at least one of the first computing device and the second computing device to display the first information item.

Abstract: In a display assistant device, a speaker is mounted in a waveguide structure which is at least partially disposed beneath a display screen. The waveguide structure is mounted in an exterior housing which includes speaker grills distributed on a plurality of surfaces of the exterior housing, permitting sound waves from the speaker to be projected outside the exterior housing. A cover structure is disposed on top of the waveguide structure to conceal the waveguide structure and speaker within the exterior housing. The cover structure has a tilted bottom surface configured to be suspended above the waveguide structure and to be separated by a first space. Sound waves projected from an upper portion of the speaker are reflected by the tilted bottom surface and are guided through the first space to exit the device from a speaker grill portion located on a rear side of the exterior housing.