Abstract: An optical combiner includes a lightguide having an input region, an output region, a relay region intermediate between the input region and the output region, and one or more stress raisers positioned to define a line of weakness in the lightguide. The line of weakness is intermediate between the input region and the output region and extends across the relay region. An in-coupler is disposed at the input region to receive an incident light with a field of view and couple the incident light into the lightguide. An out-coupler is disposed at the output region to couple light out of the lightguide. The optical combiner may be integrated with one or more lenses for use as a combiner lens in a wearable heads-up display.

Abstract: A method of using a conveyor system comprising capturing, with a first camera of the conveyor system, a first image of a server tray and a plurality of hard disks received along a first conveyor belt of the conveyor system, checking, with one or more processors of the conveyor system, a first serial number associated with the server tray and a second set of serial numbers associated with the plurality of hard disks against a reference list of serial numbers, capturing, with a second camera of the conveyor system, a second image of the server tray and the plurality of hard disks, and verifying an integrity status of the server tray and plurality of hard disks based on the second image.

Abstract: Implementations set forth herein relate to an automated assistant that allows third party applications to inject dependencies to leverage automated assistant functions. Furthermore, enabling such dependency injections can allow third party applications to preserve privacy of any application content that is used during execution of automated assistant functions. In some implementations, a third party application can initialize a function with an assistant dependency using parameters that are tagged as private. Initializing a function in such as a way can allow private content communicated between the third party application and the automated assistant to be abstracted for security purposes. The abstracted content can thereafter be communicated to a remote server—such as a server hosting an extensively trained machine learning model. Intelligent output provided by the server can then be incorporated into one or more processes of the third party application without comprising security.

Abstract: Consolidation of disparate data source queries is provided. An application intake component can receive an application package file, and process the file to identify one or more actions and entities for the application. A natural language processor component can receive an input audio signal to identify an action and an entity on which to perform the action. An application delivery component can identify applications that can perform the action and applications that have access to the entity, and then select an application that is configured to perform the action on the entity. The application delivery component can provide an indication of the application selected by the system to a client device.

Abstract: A method for dynamically creating network access control lists includes, by a processor receiving a request for an access control list (ACL). The method further includes, in response to receiving the request for the ACL: receiving a plurality of resource description from a first data source, receiving a policy enforcement point (PEP) graph for a network from a second data source, and using the plurality of resource descriptions and the PEP graph to generate the ACL, wherein the ACL comprises at least one policy for controlling network traffic through a PEP of the network. Each of the plurality of resource descriptions is associated with a plurality of computing devices in the network, and includes one or more of the following: information corresponding to an Internet Protocol definition of a computing device, information corresponding to desired access of the computing device, and information corresponding to permitted access of the computing device.

Abstract: Aspects of the subject technology relate to a method for using a voice command for multiple computing devices. First voice input data is received from a first computing device associated with a user account, where the first voice input data comprises a first voice command captured at the first computing device. Second voice input data is received from a second computing device associated with the user account where the second voice input data comprises a second voice command captured at the second computing device. An intended voice command is determined based on the obtained first and second voice input data. Based on the intended voice command, a first target computing device is determined. First instructions associated with the intended voice command are provided to the first target computing device for execution.

Abstract: Methods and systems for configuring nodes in a cloud computing network are described. One example method includes receiving, over a network, a configuration request from a particular node in the cloud computing network, the configuration request including node information for the particular node; verifying that the particular node is authorized for configuration based at least in part on the node information; in response to verifying that the particular node is authorized for configuration, identifying configuration actions to perform on the particular node based at least in part on the node information; and sending, over the network, a configuration command corresponding to one or more of the identified configuration actions to the particular node, wherein the particular node executes the configuration command upon receipt to perform the corresponding configuration actions.

Abstract: A method for suggesting collaboration between a plurality of users of a communication system includes determining that a user action is performed with respect to a first document associated with a first user of the plurality of users, identifying a collaborative similarity between the first document and a second document associated with a second user of the plurality of users, generating a collaboration suggestion for collaboration between the first user and the second user with respect to the content of the first document and the second document, providing the collaboration suggestion to collaborate with respect to the content of the first document and the second document to the first user, receiving an indication of an acceptance of the collaboration suggestion to collaborate with respect to the content of the first document and the second document from the first user, and causing a collaboration session to be established between the first user and the second user to collaborate with respect to the content

Abstract: This document describes techniques and devices for efficient handling of a resource control state change and multi-node connectivity. Instead of performing multiple radio resource control (RRC) procedures to change a resource control state of a user equipment (UE) and establish, modify, or release a connection with multi-node connectivity, the techniques described herein combine the multiple RRC procedures into a single RRC procedure that supports both a resource control state change and multi-node connectivity. In particular, a master node sends a resource control state and multi-node connectivity message that includes both state change information and multi-node connectivity information. With this single message, timing and power resources of the UE can be conserved and failures resulting from asynchronous communication of the state change information and the multi-node connectivity information can be avoided.

Abstract: A method for verifying structured data includes receiving structured data, deconstructing the structured data into corresponding elements and obtaining standard structured data having corresponding standard elements. The method also includes comparing the elements of the structured data with the standard elements of the standard structured data to identify any element differences. For each element difference, the method includes comparing the element difference against a registry of element comparisons, determining whether the element difference is expected or unexpected based on a heuristic or at least one rule, and when the element difference is unexpected, generating a signal indicating the presence of an unexpected element in the structured data.

Abstract: This document describes a multimode high-isolation antenna system and associated methods and systems. The described antenna system is implemented on a generally-circular printed circuit board and can be used for wideband and ultra-wideband applications. The multimode high-isolation antenna system includes two orthogonal antennas separated by a decoupling structure. This arrangement provides high isolation between the antennas and enables five unique resonant modes of operation for the multimode high-isolation antenna system.

Abstract: Implementations relate to an automated assistant that can automate repeatedly performed procedures. The automation can involve communicating with different users, organizations, and/or other automated assistants. The automated assistant, with prior permission from respective user(s), can detect repeated performance of a particular series of manually initiated computational actions. Based on this determination, the automated assistant can determine automated assistant computational action(s) that can be performed by the automated assistant in order to reduce latency in performing a procedure, reduce quantity and/or size of transmissions in performing the procedure, and/or reduce an amount of client device resources required for performing the procedure. Such actions can include communicating with an additional automated assistant that may be associated with another user and/or organization.

Abstract: In general, the subject matter described in this specification can be embodied in methods, systems, and program products for providing search results automatically to a user of a computing device. A spoken input provided by a user to a computing device is received. The spoken input is transmitted to a computer server system that is remote from the computing device. Search result information that is responsive to the spoken input is receiving by the computing device and in response to the transmitted spoken input. An alert is provided to the user that the device will connect the user to a target of the search result information if the user does not intervene to stop the connecting of the user. The user is connected to the target of the search result information based on a determination that the user has not intervened to stop the connecting of the user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving first audio data corresponding to an utterance; obtaining a first transcription of the first audio data; receiving data indicating (i) a selection of one or more terms of the first transcription and (ii) one or more of replacement terms; determining that one or more of the replacement terms are classified as a correction of one or more of the selected terms; in response to determining that the one or more of the replacement terms are classified as a correction of the one or more of the selected terms, obtaining a first portion of the first audio data that corresponds to one or more terms of the first transcription; and using the first portion of the first audio data that is associated with the one or more terms of the first transcription to train an acoustic model for recognizing the one or more of the replacement terms.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, for each of multiple words or sub-words, audio data corresponding to multiple users speaking the word or sub-word; training, for each of the multiple words or sub-words, a pre-computed hotword model for the word or sub-word based on the audio data for the word or sub-word; receiving a candidate hotword from a computing device; identifying one or more pre-computed hotword models that correspond to the candidate hotword; and providing the identified, pre-computed hotword models to the computing device.

Abstract: A system for generating an output audio signal includes a context encoder, a text-prediction network, and a text-to-speech (TTS) model. The context encoder is configured to receive one or more context features associated with current input text and process the one or more context features to generate a context embedding associated with the current input text. The text-prediction network is configured to process the current input text and the context embedding to predict, as output, a style embedding for the current input text. The style embedding specifies a specific prosody and/or style for synthesizing the current input text into expressive speech. The TTS model is configured to process the current input text and the style embedding to generate an output audio signal of expressive speech of the current input text. The output audio signal has the specific prosody and/or style specified by the style embedding.

Abstract: The various implementations described herein include methods and systems for determining device leadership among voice interface devices. In one aspect, a method is performed at a first electronic device of a plurality of electronic devices, each having microphones, a speaker, processors, and memory storing programs for execution by the processors. The first device detects a voice input. It determines a device state and a relevance of the voice input. It identifies a subset of electronic devices from the plurality to which the voice input is relevant. In accordance with a determination that the subset includes the first device, the first device determines a first score of a criterion associated with the voice input and receives second scores of the criterion from other devices in the subset. In accordance with a determination that the first score is higher than the second scores, the first device responds to the detected input.

Abstract: A method for rehearsal-free continual learning includes obtaining a set of training samples where training sample in the set of training samples is associated with a respective task of a plurality of different tasks. The method includes obtaining a task-invariant prompt representative of learned knowledge common to each respective task of the plurality of different tasks. The method includes, for each respective task of the plurality of different tasks, obtaining a respective task-specific prompt representative of learned knowledge specific to the respective task. The method includes, during each of one or more training iterations, for each respective training sample in the set of training samples, selecting the respective task-specific prompt representative of the respective task of the respective training sample and training a model using the task-invariant prompt and the selected respective task-specific prompt.

Abstract: A method for providing response-hiding searchable encryption includes receiving a search query for a keyword from a user device associated with a user. The keyword appears in one or more encrypted documents within a corpus of encrypted documents stored on an untrusted storage device. The method also includes accessing a document oblivious key-value storage (OKVS) to obtain a list of document identifiers associated with the keyword. Each document identifier in the list of document identifiers associated with a respective keyword identifier is concatenated with the keyword and uniquely identifies a respective one of the one or more encrypted documents that the keyword appears in. The method also includes returning the list of document identifiers obtained from the document OKVS to the user device.