Abstract: A method includes obtaining, from a server, a filter including a set of encrypted identifiers each encrypted with a server key controlled by the server. The method includes obtaining a request that requests determination of whether a query identifier is a member of a set of identifiers corresponding to the set of encrypted identifiers. The method also includes transmitting an encryption request to the server that requests the server to encrypt the query identifier. The method includes receiving, from the server, an encrypted query identifier including the query identifier encrypted by the server key and determining, using the filter, whether the encrypted query identifier is not a member of the set of encrypted identifiers. When the encrypted query identifier is not a member of the set of encrypted identifiers, the method includes reporting that the query identifier is not a member of the set of identifiers.

Abstract: Systems and techniques are provided for distributed ambient computing within an environment. A first version of an ambient computing library running on a device may check a manifest in the storage of the device to identify a second device that provides a service. The first version of the ambient computing library may send data to be processed using the service to the second device through a second version of the ambient computing library running on the second device. The first device and the second device may include different computing hardware. The first version of the ambient computing library may receive data including results from the second device through the second version of the ambient computing library. The data including the results may be generated by the second device based on processing the data sent from the device by the first version of the ambient computing library.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing hotword recognition and passive assistance are disclosed. In one aspect, a method includes the actions of receiving, by a computing device that is operating in a low-power mode and that includes a display that displays a graphical interface while the computing device is in the low-power mode and that is configured to exit the low-power mode in response to detecting a first hotword, audio data corresponding to an utterance. The method further includes determining that the audio data includes a second, different hotword. The method further includes obtaining a transcription of the utterance by performing speech recognition on the audio data. The method further includes generating an additional user interface. The method further includes providing, for output on the display, the additional graphical interface.

Abstract: Techniques for instantiating energy saving setpoint adjustments are described. In an example, a heating, ventilation, and air conditioning (HVAC) system is controlled via a thermostat during a first time period according to a first temperature setpoint schedule including one or more temperature setpoints and a first usage amount of the HVAC system is monitored during the first time period. After it is determined that the first usage amount of the HVAC system during the first time period has met a first predefined HVAC runtime threshold criterion, a second temperature setpoint schedule is generated with at least one of the one or more temperature setpoints being adjusted to decrease energy usage by the HVAC system compared to the first temperature setpoint schedule. The HVAC system is then controlled via the thermostat during a second time period according to the second temperature setpoint schedule.

Abstract: A computer-implemented method includes receiving a query specifying an operation to perform on a first table of a plurality of data blocks stored. Each data block in the first table includes a respective reference count indicating a number of tables referencing the data block. The method also includes determining that the operation specified by the query includes copying the plurality of data blocks in the first table into a second table and, in response, for each data block of the plurality of data blocks in the first table copied into the second table, incrementing, the respective reference count associated with the data block in the first table, appending, by the data processing hardware, into metadata of the second table, a reference of the corresponding data block copied into the second table.

Abstract: A method includes training, using a first computing system having a first configuration, a first machine learning model having a machine learning model architecture, and training, using a second computing system having a different second configuration, a second machine learning model having the machine learning model architecture. The method also includes determining, for a shared training operation performed by both the first computing system and the second computing system, a similarity measure that represents a similarity between: a first training output generated by the first computing system during performance of the shared training operation during training of the first machine learning model; and a second training output generated by the second computing system during performance of the shared training operation during training of the second machine learning model.

Abstract: A method for integrating third-party encryption managers with cloud services includes receiving, at data processing hardware, an operation request requesting a cryptographic operation on data comprising an encryption operation or a decryption operation. When the operation is an encryption operation, the method includes transmitting a data encryption key associated with the data to a remote entity. The remote entity encrypts the data encryption key with a key encryption key and transmits the encrypted data encryption key to the data processing hardware. When the operation is a decryption operation, the method includes transmitting the encrypted data encryption key to the remote entity which causes the remote entity to decrypt the encrypted data encryption key with the key encryption key and transmit the decrypted data encryption key and transmit to the data processing hardware.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for end to end speech conversion are disclosed. In one aspect, a method includes the actions of receiving first audio data of a first utterance of one or more first terms spoken by a user. The actions further include providing the first audio data as an input to a model that is configured to receive first given audio data in a first voice and output second given audio data in a synthesized voice without performing speech recognition on the first given audio data. The actions further include receiving second audio data of a second utterance of the one or more first terms spoken in the synthesized voice. The actions further include providing, for output, the second audio data of the second utterance of the one or more first terms spoken in the synthesized voice.

Abstract: Techniques and apparatuses are described that implement a distributed radar system. The distributed radar system includes two or more radar front-end circuits and at least one processor. The radar front-end circuits are distributed within a device at different positions. By partitioning antennas and transceivers across multiple radar front-end circuits instead of consolidating into a single integrated circuit, individual radar front-end circuits can have a smaller footprint than the single integrated circuit. This smaller footprint enables the radar front-end circuits to be integrated within space-constrained devices. The smaller footprint also provides additional flexibility in positioning the radar front-end circuits away from other components within the device that can cause interference. This can reduce the amount of interference seen by the distributed radar system.

Abstract: Various systems, devices, and methods for social interaction measurement that preserve privacy are presented. An audio signal can be captured using a microphone. The audio signal can be processed using an audio-based machine learning model that is trained to detect the presence of speech. The audio signal can be discarded such that content of the audio signal is not stored after the audio signal is processed using the machine learning model. An indication of whether speech is present within the audio signal can be output based at least in part on processing the audio signal using the audio-based machine learning model.

Abstract: This application is directed to a display assistant device that acts as a voice-activated user interface device. The display assistant device includes a base, a screen and a speaker. The base is configured for sitting on a surface. The screen has a rear surface and is supported by the base at the rear surface. A bottom edge of the screen is configured to be held above the surface by a predefined height, and the base is substantially hidden behind the screen from a front view of the display assistant device. The speaker is concealed inside the base and configured to project sound substantially towards the front view of the display assistant device.

Abstract: A method for optimizing speech recognition includes receiving a first acoustic segment characterizing a hotword detected by a hotword detector in streaming audio captured by a user device, extracting one or more hotword attributes from the first acoustic segment, and adjusting, based on the one or more hotword attributes extracted from the first acoustic segment, one or more speech recognition parameters of an automated speech recognition (ASR) model. After adjusting the speech recognition parameters of the ASR model, the method also includes processing, using the ASR model, a second acoustic segment to generate a speech recognition result. The second acoustic segment characterizes a spoken query/command that follows the first acoustic segment in the streaming audio captured by the user device.

Abstract: A method includes obtaining a plurality of training data sets each associated with a respective native language and includes a plurality of respective training data samples. For each respective training data sample of each training data set in the respective native language, the method includes transliterating the corresponding transcription in the respective native script into corresponding transliterated text representing the respective native language of the corresponding audio in a target script and associating the corresponding transliterated text in the target script with the corresponding audio in the respective native language to generate a respective normalized training data sample.

Abstract: Methods, devices, systems, and means for managing extended device pairing by a target device and a host device are described herein. The target device transmits a pairing intent message expressing an intent to pair with the host device (2002), receives a pairing response message in response to the transmitting the pairing intent message (2004), pairs with the host device (2006), and communicates data with the host device (2008).

Abstract: In one general aspect, a method can include detecting at least one indicator of user-initiated interaction with a computing device, obtaining data related to a demographic of a user of the computing device, identifying a current state of the computing device, determining that content displayed on a first display device included in the computing device is to be casted to a second display device separate from the computing device based on the at least one indicator of the user-initiated interaction with the computing device, the data related to a demographic of a user of the computing device, and the current state of the computing device, and casting the content displayed on the first display device to the second display device.

Abstract: Methods, systems, and devices are provided that allow for access to a wireless computer network, such as a home or business network, via a communal device. The communal device retrieves network access information such as a PSK and provides a machine-readable code such as a QR code or bar code that automatically provides the access information to a user's device, thereby allowing access to the network with little or no user input required.

Abstract: An audio-visual automated speech recognition model for transcribing speech from audio-visual data includes an encoder frontend and a decoder. The encoder includes an attention mechanism configured to receive an audio track of the audio-visual data and a video portion of the audio-visual data. The video portion of the audio-visual data includes a plurality of video face tracks each associated with a face of a respective person. For each video face track of the plurality of video face tracks, the attention mechanism is configured to determine a confidence score indicating a likelihood that the face of the respective person associated with the video face track includes a speaking face of the audio track. The decoder is configured to process the audio track and the video face track of the plurality of video face tracks associated with the highest confidence score to determine a speech recognition result of the audio track.

Abstract: A method for database syncing is provided. The method includes receiving database change indicators indicating changes to a database. For each database change indicator, the method also includes determining whether the respective change to the database corresponds to a single change to a single version of the database, one of multiple changes to a common version of the database, or one of multiple changes to different versions of the database. The method further includes generating a change log compaction data structure comprising entries. Each entry includes an exact entry defining a corresponding single change to a corresponding single version of the database, a range entry defining corresponding multiple changes to a corresponding common version of the database, or an interval entry defining corresponding multiple changes to corresponding different versions of the database.

Abstract: A method includes receiving, from a subscriber device, a request including virtual region characteristics and an occupancy threshold, and determining, using image data captured by a camera and the virtual region characteristics, a virtual region corresponding to a portion of a physical region within a field of view of the camera. The virtual region is smaller than the physical region. The method also includes determining, using the image data, an occupancy of the virtual region and determining that the occupancy of the virtual region satisfies the occupancy threshold. In response to determining that the occupancy of the virtual region satisfies the occupancy threshold, the method also includes generating a notification to the subscriber device.

Abstract: A method for carrier network integration through a user proxy interface includes receiving a request from a mobile device associated with a subscriber of a carrier provider to establish voice services with the carrier provider for a companion device linked to the mobile device. The request includes a subscriber identifier of the mobile device. The method also includes authenticating the companion device based on the subscriber identifier, obtaining session initiation protocol (SIP) credentials corresponding to the subscriber identifier, and registering the SIP credentials for the companion device at a network interface proxy. The network interface proxy is in communication with an internet protocol multimedia subsystem (IMS) of the carrier provider and the companion device. The method also includes establishing voice services between the companion device and the IMS through the network interface proxy using the SIP credentials.

Abstract: A method at an electronic device with a display includes: displaying a user interface having a first region and a second region; receiving, and displaying in the first region of the user interface, a live video stream of a physical environment captured by a remote video camera; displaying, in the second region, a timeline corresponding to a timespan for a first portion of a duration during which the live video stream may have been recorded; in response to receiving a user interaction to move the timespan to a second portion of the duration, transitioning the displayed timeline to a new timeline that corresponds to the timespan for the second portion, and while transitioning, displaying, in the first region, a subset of video frames representing the first and/or second portion of the duration.

Abstract: A method including, at a camera, detecting motion in a field of view of the camera using a motion sensor, initiating processing of video data corresponding to the field of view in which the motion was detected, ceasing the processing after a first time duration, and determining a cool-off period for the motion sensor, the cool-off period having a second time duration based on the first time duration during which the camera does not detect motion using the motion sensor.

Abstract: A Bluetooth audio streaming passthrough, and a method for transmitting an audio stream over a Bluetooth communication link and disclosed. The method is carried out by a source device. An audio codec configuration and a sampling rate of the audio stream are received, the audio stream coming from a streaming application running on the source device. A Bluetooth audio stream between the source device and a sink device is configured using the received audio codec configuration and sampling rate. The first audio stream is received from the streaming application. The received first audio stream is packetized into the Bluetooth audio stream. The Bluetooth audio stream is transmitted to the sink device over the Bluetooth communication link, including the packetized received audio stream.

Abstract: This document describes techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition. The techniques described herein enable an electronic device (e.g., security camera) to determine the likelihood of an event of interest (e.g., latency-critical event) occurring in data (e.g., audio and/or video) captured by the electronic device. To make such a determination, the electronic device may switch upload modes to upload the data, using a different batch size to reduce latency, to another device for user access, based on the likelihood of an event of interest occurring in the data. In this way, the techniques, apparatuses, and systems for batch size adjustment using latency-critical event recognition provide an efficient way to provide all-day security monitoring.

Abstract: The present disclosure provides a method, system and computer program product for optimal query scheduling for resource utilization option. In an embodiment of the disclosure, a process for optimal query scheduling includes receiving in an information retrieval data processing system at a contemporaneous time, a request for deferred query execution of a specified query to a future time after the contemporaneous time. The method additionally includes determining a frequency of change of data corresponding to a field referenced in the specified query. Then, on condition that the frequency of change is below a threshold value, an intermediate time prior to the future time but after the contemporaneous time can be identified and the specified query scheduled for execution at the intermediate time instead of the future time. But, otherwise the specified query can be scheduled at the future time as originally requested.

Abstract: This document describes apparatuses and techniques for enabling a user to authorize access to early boot debugging of hardware issues in a computing system. In general, responsive to a user consenting to early boot debugging, a debug reenable signal is set in nonvolatile storage. Upon reinitialization of the computing system and receipt of an early debugging request, if the debug reenable signal is detected and the early debugging request is authenticated, an early boot debugging system is enabled. The user consent to early boot debugging may circumvent the setting of a fuse that otherwise would prevent performance of early boot debugging.

Abstract: A method for automatic hotword threshold tuning includes receiving, from a user device executing a first stage hotword detector configured to detect a hotword in streaming audio, audio data characterizing the detected hotword. The method includes processing, using a second stage hotword detector, the audio data to determine whether the hotword is detected by the second stage hotword detector. When the hotword is not detected, the method includes identifying a false acceptance instance at the first stage hotword detector indicating that the first stage hotword detector incorrectly detected the hotword. The method includes determining whether a false acceptance rate satisfies a false acceptance rate threshold based on a number of false acceptance instances within a false acceptance time period. When the false acceptance rate satisfies the false acceptance rate threshold, the method includes adjusting the hotword detection threshold of the first stage hotword detector.

Abstract: Methods, systems, and media for object grouping and manipulation in immersive environments are provided. In some embodiments, a method can include: displaying a plurality of virtual objects in an immersive environment; generating a group virtual object that includes a first virtual object and a second virtual object, the group virtual object including a handle interface element for interacting with the group virtual object and a selectable indicator associated with the first virtual object and the second virtual object; displaying the group virtual object along with the handle interface element and the selectable indicator in the immersive environment; and in response to detecting a selection of the selectable indicator, displaying a user interface for interacting with the group virtual object.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using neural networks. A feature vector that models audio characteristics of a portion of an utterance is received. Data indicative of latent variables of multivariate factor analysis is received. The feature vector and the data indicative of the latent variables is provided as input to a neural network. A candidate transcription for the utterance is determined based on at least an output of the neural network.

Abstract: A method for pervasive resource identification includes receiving an authentication request from a first application service. The authentication request requests authentication of a user of a user device. The method includes obtaining device information associated with the user device of the user and generating a unique opaque identifier for the user device based on the device information. The method includes obtaining authentication credentials from the user device. The authentication credentials verify an identity of the user. In response to receiving the authentication credentials from the user device, the method includes generating an authentication token and encoding the unique opaque identifier into the authentication token. The method also includes transmitting the authentication token to the first application service.

Abstract: A method for detecting a movement path in a monitored environment generates a first movement path record by collecting first node information for each of a first series of nodes including at least one of a sensor ID or a device ID, and a trigger time. The method further determines a first movement path total duration time from a difference between a time of the ending node and a time of the starting node of the first series of nodes. The method further stores the first movement path record and subsequently compares a second movement path record with the first movement path record by comparing the first node information with second node information for each of a second series of nodes of the second movement path record, and the first movement path total duration time with a second movement path total duration time.

Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system's receiver is saturated. As such, the radar system can forgo integrating an automatic gain control circuit to prevent the receiver from becoming saturated. Furthermore, the radar system can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system's dynamic range increases, which enables the radar system to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system.

Abstract: A method includes receiving a training example that includes audio data representing a spoken utterance and a ground truth transcription. For each word in the spoken utterance, the method also includes inserting a placeholder symbol before the respective word identifying a respective ground truth alignment for a beginning and an end of the respective word, determining a beginning word piece and an ending word piece, and generating a first constrained alignment for the beginning word piece and a second constrained alignment for the ending word piece. The first constrained alignment is aligned with the ground truth alignment for the beginning of the respective word and the second constrained alignment is aligned with the ground truth alignment for the ending of the respective word. The method also includes constraining an attention head of a second pass decoder by applying the first and second constrained alignments.

Abstract: Techniques and apparatuses are described for modifying a position of an adaptive phase-changing device, APD. In aspects, a base station receives, from a user equipment, UE, at least one link quality parameter that is indicative of a channel impairment. The base station then identifies, using the at least one link quality parameter, a surface configuration for a reconfigurable intelligent surface (RIS) of an adaptive phase-changing device (APD) and transmits a first indication of the surface configuration using an adaptive phase-changing device control channel, APD control channel. In aspects, the base station determines using the at least one link quality parameter, a position configuration for the APD and transmits a second indication of the position configuration to the APD. The base station then communicates with the UE using the APD.

Abstract: A method for predicting a customer trust target metric includes receiving, from a business, a customer trust target metric definition defining a customer trust target metric customized by the business. The method also includes obtaining sentiment data representative of one or more interactions between a customer and the business. The sentiment data includes textual feedback data and non-textual metadata. The method also includes determining, using a natural language processing model, a sentiment score of the sentiment data. Further, the method includes predicting, using the sentiment score and the customer trust target metric definition, a respective customer trust target metric for a respective one of the one or more interactions between the customer and the business. The method also includes sending, to the business, the predicted respective customer trust target metric.

Abstract: The present disclosure provides a magnetic system within a case for an electronic accessory. The case may include a housing portion and a lid coupled to the housing portion. Within the housing portion may be a housing magnet. The housing magnet may be oriented such that the magnetic field of the housing magnet is oriented transverse to a longitudinal axis of the case. The housing magnet may have a size and strength to magnetically couple the electronic accessory within a cavity of the housing. A hinge magnet may be located along an axis of rotation of the lid with respect to the housing. The hinge magnet and housing magnet may magnetically interact to form a bistable magnetic hinge. Thus, the one housing magnet may be large enough and have a strong enough magnetic field to perform various functions.

Abstract: The various embodiments described herein include methods, devices, and systems for providing event alerts. In one aspect, a method includes obtaining a video feed. A frame of the video feed is analyzed at a first resolution to determine whether the frame includes a potential instance of a person. In accordance with the determination that the image includes the potential instance, a region is denoted around the potential instance. The region is analyzed at a second resolution, greater than the first resolution. In accordance with a determination that the region includes the instance of the person. a determination that the frame includes the person is made. An indication of the determination is stored for use in subsequent alert notification processing.

Abstract: A method includes a hierarchical dataset that includes a root-data object and data collections nested under the root-data object. Each data collection includes one or more data objects, each data object associated with one or more other data collections. The method also includes displaying a hierarchical user interface on a screen. The hierarchical user interface includes column. The columns include data-object columns and data-collection columns, wherein the columns alternate between data-object columns and data-collection columns. Each data-object column displays a list of the one or more data objects of a respective data collection. Each data-collection column displays a list of the one or more data collections of a respective data object, the data-collection columns includes a root-data-collection column displaying a list of the one or more data collections associated with the root-data object.

Abstract: This application discloses an electronic device (e.g., a camera) that a plurality of light sources and a light source driver. The light sources are configurable to a plurality of light source subsets to illuminate a field of view. At least two of the light source subsets include distinct light source members and are configured to illuminate different regions of the field of view. The light source driver is coupled to the plurality of light sources and configured to drive the plurality of light source subsets. In some embodiments, the electronic device includes or is coupled to a camera module configured to capture visual data of the field of view, and the plurality of light sources is configured to provide illumination for the camera module.

Abstract: A method for synchronous replication of stream data includes receiving a stream of data blocks for storage at a first storage location associated with a first geographical region and at a second storage location associated with a second geographical region. The method also includes synchronously writing the stream of data blocks to the first storage location and to the second storage location. While synchronously writing the stream of data blocks, the method includes determining an unrecoverable failure at the second storage location. The method also includes determining a failure point in the writing of the stream of data blocks that demarcates data blocks that were successfully written and not successfully written to the second storage location. The method also includes synchronously writing, starting at the failure point, the stream of data blocks to the first storage location and to a third storage location associated with a third geographical region.

Abstract: A method includes obtaining an utterance from a user including a user query directed toward a digital assistant. The method includes generating, using a language model, a first prediction string based on the utterance and determining whether the first prediction string includes an application programming interface (API) call to invoke a program via an API. When the first prediction string includes the API call to invoke the program, the method includes calling, using the API call, the program via the API to retrieve a program result; receiving, via the API, the program result; updating a conversational context with the program result that includes the utterance; and generating, using the language model, a second prediction string based on the updated conversational context. When the first prediction string does not include the API call, the method includes providing an utterance response to the utterance based on the first prediction string.

Abstract: Techniques and devices for determining a preferred physical layer for communication by a node in a Thread network are described. The node transmits a first IPv6 over Low power Wireless Personal Area Networks, 6LoWPAN, frame to a neighbor node using a first physical layer and transmits the first 6LoWPAN frame to the neighbor node using a second physical layer. The node determines a first preference value for the neighbor node using the first physical layer and determines a second preference value for the neighbor node using the second physical layer. The node compares the first preference value and the second preference value to determine the preferred physical layer for communication and transmits a second 6LoWPAN frame to the neighbor node using the preferred physical layer.

Abstract: A method for training a generative adversarial network (GAN)-based text-to-speech (TTS) model and a speech recognition model in unison includes obtaining a plurality of training text utterances. At each of a plurality of output steps for each training text utterance, the method also includes generating, for output by the GAN-Based TTS model, a synthetic speech representation of the corresponding training text utterance, and determining, using an adversarial discriminator of the GAN, an adversarial loss term indicative of an amount of acoustic noise disparity in one of the non-synthetic speech representations selected from the set of spoken training utterances relative to the corresponding synthetic speech representation of the corresponding training text utterance. The method also includes updating parameters of the GAN-based TTS model based on the adversarial loss term determined at each of the plurality of output steps for each training text utterance of the plurality of training text utterances.

Abstract: This document describes improvements in management of data traffic of user equipment between cellular and non-cellular accesses in fifth generation new radio, 5G NR, wireless networks. An energy-aware traffic manager is introduced to manage data traffic communicated by the user equipment over the cellular access and the non-cellular access, such as a wireless local area network, WLAN. The energy-aware traffic manager enables reporting of energy-related information by user equipment, energy-aware traffic management modes for the user equipment, and access management in response to critical events related to user equipment energy, as well as reporting of changes in the user equipment access management or access management modality to core network entities.

Abstract: The various implementations described herein include methods, devices, and systems for implementing high dynamic range and automatic exposure functions in a video system. In one aspect, a method is performed at a video camera device and includes, while operating in a non-high dynamic range (HDR) mode: capturing first video data of a scene with the image sensor; determining whether a minimum number of pixels of the first video data meets one or more first color intensity criteria; and in accordance with the determination that the minimum number of pixels of the first video data meets the one or more first color intensity criteria, switching operation from the non-HDR mode to an HDR mode.

Abstract: A computer-implemented method includes receiving a document insight request that requests document insights for a corpus of documents. The document insight request includes the corpus of documents, a set of entities contained within each document of the corpus of documents, and document insight request parameters that includes a confidence value threshold. The method also includes generating the document insights for the corpus of documents based on the confidence value threshold. Here, the document insights include an accuracy target and a user review rate target. The method also includes transmitting the document insights to the user device causing a graphical user interface to display the document insights on the user device.

Abstract: The technology involves providing haptic feedback to a user of a computing device. For instance, user input associated with a program of the computing device is received by a user interface module of the computing device. One or more processors of the computing device determine a kind of interaction corresponding to the user input. The one or more processors identify whether the kind of interaction is associated with one or more haptic feedback effects of a curated suite of haptic effects. Upon identifying that the kind of interaction is associated with one or more haptic feedback effect, the one or more processors select a particular haptic feedback effect from the curated suite of haptic effects. And the one or more processors are able to cause a haptic feedback module of the computing device to provide the particular haptic feedback effect for sensation by the user.

Abstract: A method for workload security rings that includes receiving a plurality of workloads, each associated with respective security criteria and scheduled for execution on a distributed computing system divided into a plurality of security rings each associated with a respective subset of computing devices of the distributed computing system that is physically isolated from the other security rings. For each respective workload, the method includes determining, using the respective security criteria, a security level of the respective workload and identifying, using the security level of the respective workload, one or more of the plurality of security rings that are eligible for executing the respective workload. The method also includes executing the respective workload on one or more computing devices selected from one of the respective subsets of computing devices associated with the identified one or more of the plurality of security rings eligible for executing the respective workload.

Abstract: The present disclosure describes various aspects of radio link management to enable unpaired receiver paths of user equipment. In some aspects, a modem of a user equipment is coupled with multiple receiver paths that include an unpaired receiver path. To enable use of the unpaired receiver path in various modes of multi-channel communication, a radio link manager of the user equipment modifies configuration information of the modem to add a nonexistent receiver path to a set of receiver path parameters for a frequency band in which the unpaired receiver path is capable of operating. Along with adding the nonexistent receiver path, the radio link manager may also modify the receiver path parameters to enable the unpaired receiver path for the frequency band. The nonexistent receiver path and unpaired receiver path are then exposed for use by the modem to implement one or more multi-channel receive modes for the frequency band.

Abstract: A method for managing big metadata using columnar techniques includes receiving a query request requesting data blocks from a data table that match query parameters. The data table is associated with system tables that each includes metadata for a corresponding data block of the data table. The method includes generating, based on the query request, a system query to return a subset of rows that correspond to the data blocks that match the query parameters. The method further includes generating, based on the query request and the system query, a final query to return a subset of data blocks from the data table corresponding to the subset of rows. The method also includes determining whether any of the data blocks in the subset of data blocks match the query parameters, and returning the matching data blocks when one or more data blocks match the query parameters.