Abstract: An accessory interface for an electronic host device includes a digital communication bus including a plurality of communication lines configured to pass data between the electronic host device and an electronic accessory device. The accessory interface further includes detection circuitry selectively coupled to the plurality of communication lines via a multiplexer and configured to detect analog voltage levels across the plurality of communication lines, determine a device type of the electronic accessory device based on the detected analog voltage levels, and control the multiplexer to couple the plurality of communication lines to a host processor of the electronic host device upon determining the device type of the electronic accessory device. The host processor is configured to receive the device type of the electronic accessory device and transmit data via the plurality of communication lines to the electronic accessory device in accordance with the device type of the electronic accessory device.

Abstract: Implementations disclose determining connections between sound recordings and compositions. A method includes maintaining, by a server device of a content sharing platform, a serving structure to represent resources comprising sound recording resources and composition resources and explicit connections between the resources, generating a hypothesis structure from the serving structure, the hypothesis structure comprising the resources and the explicit connections of the serving structure and inferred connections between the resources, the inferred connections identified based on data comprised in the resources of the serving structure, and upon receiving a user approval of at least one of the inferred connections, adding, by the server device, the at least one of the inferred connections to the serving structure.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating suggested search queries. One method includes receiving, during a search session, a request for a suggested search query; in response to receiving the request for the suggested search query, identifying an entity that is associated with an item of media content; generating a suggested search query based on the identified entity; and providing data that causes the generated suggested search query to be presented in a user interface.

Abstract: A method and system for assessing a machine learning model providing a prediction as to the disease state of a patient from a 2D or 3D image of the patient or a sample obtained therefrom. The machine learning model produces a prediction of the disease state from the image. The method involves presenting on a display of a workstation the image of the patient or a sample obtained therefrom along with a risk score or classification associated with the prediction. The image is further augmented with high-lighting to indicate one or more regions in the image which affected the prediction produced by the machine learning model. Tools are provided by which the user may highlight one or more regions of the image which the user deems to be suspicious for the disease state. Inference is performed on the user-highlighted areas by the machine learning model. The results of the inference are presented to the user via the display.

Abstract: The present disclosure provides systems and methods for applying a volume gain to change the playback volume of a device by calculating a smoothed noise estimate. The smoothed noise estimate may calculated using an exponential smoothing method. The exponential smoothing method may include applying a weight factor to both a background noise estimate and a historical smoothed noise estimate. The weight factor may place more emphasis on either the background noise estimate or the historical smoothed noise estimate depending on the value of the weight factor. The value of the weight factor may change based on the type of environment the device is in, the speed of the background noise transitions, and/or historical data. The calculated smoothed noise estimate may be used to calculate a volume gain. The volume gain may be applied over a period of time such that the playback volume of the device changes smoothly.

Abstract: Implementations of the present disclosure include actions of receiving a search query, identifying potential search results responsive to the search query, the potential search results corresponding to digital content stored in one or more computer-readable storage media, determining that the potential search results include user-generated content that is generated using one or more computer-implemented social services, receiving data associated with the user-generated content, the data including one or more scores, determining, based on the one or more scores, that the user-generated content is to be provided as a search result, generating search results, the search results including web-based search results and at least a portion of the user-generated content, and transmitting the search results to a client computing device for display to the searching user.

Abstract: The present disclosure provides projection neural networks and example applications thereof. In particular, the present disclosure provides a number of different architectures for projection neural networks, including two example architectures which can be referred to as: Self-Governing Neural Networks (SGNNs) and Projection Sequence Networks (ProSeqoNets). Each projection neural network can include one or more projection layers that project an input into a different space. For example, each projection layer can use a set of projection functions to project the input into a bit-space, thereby greatly reducing the dimensionality of the input and enabling computation with lower resource usage. As such, the projection neural networks provided herein are highly useful for on-device inference in resource-constrained devices. For example, the provided SGNN and ProSeqoNet architectures are particularly beneficial for on-device inference such as, for example, solving natural language understanding tasks on-device.

Abstract: The systems and methods described herein can generate a voice-based interface to increase the accuracy of translations. The voice-based interface can result in fewer input audio signals being transmitted between devices of a network. A method includes: receiving a first input audio signal; generating, based on the first input audio signal, a first translation string in a second language and a second translation string in a first language; determining a first translation score based on a likelihood that the first input audio signal includes an utterance in the first language and a second translation score based on a likelihood that the first input audio signal includes an utterance in the second language; selecting the first translation string based on the first translation score and the second translation score; generating an output signal from the first translation string; and transmitting the output signal to the client device.

Abstract: A method of fabricating a device is presented. The method includes forming a multilayer stack (101?, 102?, 103?) on a substrate (10?, 100?) which has a principal surface. The multilayer stack includes a supporting layer (102?) formed over the principal surface of the substrate and a photoresist layer (103?) formed on the supporting layer, patterning the multilayer stack to form at least one opening such that the photoresist layer is undercut by the supporting layer and anisotropically dry etching the substrate.

Abstract: Methods and systems herein may help to provide an advertisement marketplace for advertisements that are valued according to gaze data from wearable computing devices.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for training a neural network, wherein the neural network is configured to receive an input data item and to process the input data item to generate a respective score for each label in a predetermined set of multiple labels. The method includes actions of obtaining a set of training data that includes a plurality of training items, wherein each training item is associated with a respective label from the predetermined set of multiple labels; and modifying the training data to generate regularizing training data, comprising: for each training item, determining whether to modify the label associated with the training item, and changing the label associated with the training item to a different label from the predetermined set of labels, and training the neural network on the regularizing data.

Abstract: Implementations set forth herein relate to management of casting requests and user inputs at a rechargeable device, which provides access to an automated assistant and is capable of rendering data that is cast from a separate device. Casting requests can be handled by the rechargeable device despite a device SoC of the rechargeable device operating in a sleep mode. Furthermore, spoken utterances provided by a user for invoking the automated assistant can also be adaptively managed by the rechargeable device in order mitigate idle power consumption by the device SoC. Such spoken utterances can be initially processed by a digital signal processor (DSP), and, based on one or more features (e.g., voice characteristic, conformity to a particular invocation phrase, etc.) of the spoken utterance, the device SoC can be initialized for an amount of time that is selected based on the features of the spoken utterance.

Abstract: Implementations can receive, at a computing device, audio data corresponding to a spoken utterance of a user, process the audio data to generate, for one or more parts of the spoken utterance, a plurality of speech hypotheses, select a given one of the speech hypotheses, cause the given one of the speech hypotheses to be incorporated as a portion of a transcription associated with the software application, and store the plurality of speech hypotheses. In some implementations, the plurality of speech hypotheses can be loaded at an additional computing device when the transcription is accessed at the additional computing device. In additional or alternative implementations, the plurality of speech hypotheses can be loaded into memory of the computing device when the software application is reactivated and/or when a subsequent dialog session associated with the transcription is initiated.

Abstract: Implementations relate to generating a proficiency measure, and utilizing the proficiency measure to adapt one or more automated assistant functionalities. The generated proficiency measure is for a particular class of automated assistant actions, and is specific to an assistant device and/or is specific to a particular user. A generated proficiency measure for a class can reflect a degree of proficiency, of a user and/or of an assistant device, for that class. Various automated assistant functionalities can be adapted, for a particular class, responsive to determining the proficiency measure satisfies a threshold, or fails to satisfy the threshold (or an alternate threshold). The adaptation(s) can make automated assistant processing more efficient and/or improve (e.g., shorten the duration of) user-assistant interaction(s).

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: Technology for automatic cross-device meeting authentication.

Abstract: This document describes methods, devices, systems, and means for fifth generation new radio uplink multiplexing assisted by shared grant-free transmission. A user equipment (UE) inserts a first cyclical redundancy check (CRC) into a transport block (TB), encodes the TB, including the CRC, into a codeword (CW). Based on receiving a preemption indicator for part of a first physical resource, the UE selects a first part of the CW for rate matching with a length based on a received uplink (UL) grant and the received preemption indicator. The UE transmits the first part of the CW using the first physical resource, selects a second part of the CW, inserts a second CRC in the selected second part of the CW, and transmits the second part of the CW using a second physical resource.

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 media for interacting with content using a second screen device are provided. In some implementations, the method comprises: receiving, from a remote media streaming device, a request to present media content items; sending, over the Internet, interactive content to the media streaming device as a stream of video; causing the interactive content to be presented by the media streaming device; causing a notification to be sent to a computing device associated with the media streaming device indicating that the content being presented by the media streaming device is interactive content; receiving instructions from the computing device to control how an object depicted in the interactive content is presented; updating the interactive content based on the instructions; sending the updated interactive content to the media streaming device as a stream of video; and causing the updated interactive content to be presented by the media streaming device.

Abstract: Systems, methods, and apparatuses, including electronic devices and computer-readable storage media, for adaptively switching wireless connections between antennas of a wearable electronic device and a host electronic device. One device includes a wearable electronic device with a first and second housing, each housing including two or more antennas. The wearable electronic device is configured to establish and monitor a wireless cross-link between two antennas in different housings, or between antennas in one housing and antennas of a host electronic device. The wearable electronic device can monitor the integrity of the wireless cross-link, and establish an updated cross-link in response to the wireless cross-link not meeting a predetermined integrity threshold. The wearable electronic device can monitor a wireless cross-head link between housings of a wearable electronic device at the same time as a wireless cross-body link between the wearable electronic device and the host electronic device.

Abstract: A circuit for controlling an interface between an integrated circuit of an electronic device and an external device includes each of an interface control switch and an overvoltage protection switch. The interface control switch includes a controller for controlling a mode of the interface between a data communication mode that connects the external device to the integrated circuit of the electronic device via one or more communication lines of the electronic device, and a power transmission mode that connects a power source of the external device to a battery of the electronic device. The controller includes a reset line for resetting the interface control switch. The overvoltage protection switch is connected between the one or more communication ports and the reset line, and is configured to activate the reset line of the controller in response to an overvoltage condition at the one or more communication lines of the electronic device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to synthetic call status updates. In some implementations, a method includes determining, by a task manager module, that a triggering event has occurred to provide a current status of a user call request. The method may then determine, by the task manager module, the current status of the user call request. A representation of the current status of the user call request is generated. Then, the generated representation of the current status of the user call request is provided to the user.

Abstract: A user device includes hardware configured to select a preamble or PRACH occasion associated with a first time span for the user device to transmit at least a data portion of a random-access procedure message to a base station, and to receive a message granting the user device an occasion to transmit uplink data on a PUSCH occasion that includes a second time span (412). The hardware also determines that the first and second time spans overlap (414), and only one of (i) transmits at least the data portion of the random-access procedure message to the base station during the first time span. or (ii) transmits the uplink data to the base station during the second time span, based on a transmission precedence of (i) at least the data portion of the random-access procedure message and (ii) the uplink data (440).

Abstract: Wireless networks may have thousands of configurable parameters, so manual tuning is infeasible. A self-organizing network (SON) can provide automation. However, automated algorithms are not designed to interact with a wireless network, and network experimentation can jeopardize reliability. To address the former, a SON facilitator of a wireless network management node exposes an API that can translate network configuration information for consumption by a SON enhancer, which may implement an AI algorithm for network tuning. The SON facilitator can also transform output from the SON enhancer into directions for controlling a test scenario, including generating a DL SON message describing the test to a UE. To further increase reliability during the test scenario, the UE can be provisioned with two wireless connections. A first connection is unchanged by the test scenario for stability, and a second connection is used for testing.

Abstract: In one embodiment, a system includes first host machines implementing a public-cloud computing environment, wherein at least one of the first host machines includes a resource manager that provides a public-cloud resource interface through which one or more public-cloud clients interact with one or more virtual machines, and second host machines implementing a private-cloud computing environment, wherein at least one of the second host machines includes one or more private-cloud virtual machines, wherein at least one of the first host machines further includes a private-cloud VM resource provider through which the resource manager interacts with the private-cloud virtual machines, wherein the VM resource provider translates requests to perform virtual machine operations from a public-cloud-resource interface to a private-cloud virtual machine interface, and the private-cloud virtual machines perform the requested virtual machine operations in response to receiving the translated requests from the VM resource

Abstract: Various arrangements for reducing auditory spatial aliasing for a user are detailed herein. A first delay filter may be set that delays output of a first same audio signal by a first duration to a speaker of a first set of multiple speakers of a device compared to a second speaker of the first set of multiple speakers. A second delay filter may also be set that delays output of a second same audio signal by a second duration to a speaker of a second set of multiple speakers of the device compared to a second speaker of the second set of multiple speakers. The first same audio signal can be output using the first set of multiple speakers and the second same audio signal can be output using the second set of multiple speakers.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.

Abstract: A method includes identifying a middlebox receiving network flow and communicating with one or more backend virtual machines. The method also includes receiving flow statistics corresponding to the network flow of the middlebox and determining whether the flow statistics satisfy an offload rule. The offload rule indicates when to migrate the network flow from the middlebox to an end host. When the flow statistics satisfy the offload rule, the method also includes migrating the network flow from the middlebox to the end host.

Abstract: This document describes techniques directed to active thermal-control of a floodlight and associated floodlights. As described, an example floodlight includes a first heat-transfer subsystem that uses a fully enclosed heat sink to transfer heat from an array of LEDs to a first housing component of the floodlight. The floodlight further includes a second heat-transfer subsystem to transfer heat from one or more PSUs to a second housing component of the floodlight. Described techniques include using thermistors located throughout the floodlight to actively monitor a temperature profile within the floodlight and, if one or more operating-temperature thresholds are violated, reducing power consumption within the floodlight.

Abstract: The present disclosure relates to generating and adjusting translated audio from a video-based source. The method includes receiving video data and corresponding audio data in a first language; generating a translated preliminary transcript in a second language; aligning timing windows of portions of the translated preliminary transcript with corresponding segments of the audio data; determining portions of the translated aligned transcript in the second language that exceed a timing window range of the corresponding segments of the audio data in the first language to generate flagged transcript portions; transmitting the original transcript, the translated aligned transcript, and the first speech dub to a first device, the generated flagged transcript portions included in the original transcript and the translated aligned transcript; receiving, from the first device, a modified original transcript; and generating, based on the modified original transcript, a second speech dub in the second language.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for allocating computing resources. In one aspect, a method includes receiving intent data specifying one or more computing services to be hosted by a computing network, requested characteristics of computing resources for use in hosting the computing service, and a priority value for each requested characteristic. A budget constraint is identified for each computing service. Available resources data is identified that specifies a set of available computing resources. A resource allocation problem for allocating computing resources for the one or more computing resources is generated based on the intent data, each budget constraint, and the available resources data. At least a portion of the set of computing resources is allocated for the one or more computing services based on results of evaluating the resource allocation problem to meet a particular resource allocation objective.

Abstract: This document describes a thermal-control system that is integrated into a security camera. The thermal-control system includes a combination of heatsinks and thermal interface materials with high thermal conductivities. The thermal-control system may transfer and spread energy from a high thermal-loading condition effectuated upon the security camera to concurrently maintain temperatures of multiple thermal zones on or within the security camera at or below prescribed temperature thresholds.

Abstract: A method includes obtaining first code in a high-level programming language. The first code represents a first function for performing one or more operations on plaintext. The method also includes converting the first code into an intermediate representation comprising a list of nodes. Each node of the list of nodes includes one or more logical operations. The method also includes converting the intermediate representation into a Boolean intermediate representation that includes a plurality of single-bit logical operations. The method also includes transpiling the Boolean intermediate representation into second code in the high-level programming language. The second code represents a second function for performing, using fully homomorphic encryption (FHE), the one or more operations on ciphertext.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for object detection. In one aspect, a method comprises: obtaining: (i) an image, and (ii) a set of one or more query embeddings, wherein each query embedding represents a respective category of object; processing the image and the set of query embeddings using an object detection neural network to generate object detection data for the image, comprising: processing the image using an image encoding subnetwork of the object detection neural network to generate a set of object embeddings; processing each object embedding using a localization subnetwork to generate localization data defining a corresponding region of the image; and processing: (i) the set of object embeddings, and (ii) the set of query embeddings, using a classification subnetwork to generate, for each object embedding, a respective classification score distribution over the set of query embeddings.

Abstract: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are caused to be generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for neural network compression. In one aspect, a method comprises receiving a neural network and identifying a particular set of multiple weights of the neural network. Multiple anchor points are determined based on current values of the particular set of weights of the neural network. The neural network is trained by, at each of multiple training iterations, performing operations comprising adjusting the values of the particular set of weights by backpropagating gradients of a loss function. The loss function comprises a first loss function term based on a prediction accuracy of the neural network and a second loss function term based on a similarity of the current values of the particular set of weights to the anchor points. After training, the values of the particular set of weights are quantized based on the anchor points.

Abstract: To reduce the effects of traffic jams, a traffic reduction system identifies road segments having more a threshold amount of traffic. The traffic reduction system also receives an indication of a current location of a client device operating in a vehicle and compares the current location to the locations of the identified road segments to determine whether the vehicle is on or approaching the road segment. If the vehicle is on or approaching the road segment, the traffic reduction system determines a target speed for the vehicle to maintain an equal distance between the vehicle and the vehicle in front of the vehicle and the vehicle and the vehicle behind the vehicle. The traffic reduction system then provides the target speed to the client device for display on a user interface. By maintaining equal distances between vehicles in front of and behind each other, the amount of traffic dissipates.

Abstract: To present augmented reality features without localizing a user, a client device receives a request for presenting augmented reality features in a camera view of a computing device of the user. Prior to localizing the user, the client device obtains sensor data indicative of a pose of the user, and determines the pose of the user based on the sensor data with a confidence level that exceeds a confidence threshold which indicates a low accuracy state. Then the client device presents one or more augmented reality features in the camera view in accordance with the determined pose of the user while in the low accuracy state.

Abstract: A method for training a speech recognition model includes receiving a set of training utterance pairs each including a non-synthetic speech representation and a synthetic speech representation of a same corresponding utterance. At each of a plurality of output steps for each training utterance pair in the set of training utterance pairs, the method also includes determining a consistent loss term for the corresponding training utterance pair based on a first probability distribution over possible non-synthetic speech recognition hypotheses generated for the corresponding non-synthetic speech representation and a second probability distribution over possible synthetic speech recognition hypotheses generated for the corresponding synthetic speech representation. The first and second probability distributions are generated for output by the speech recognition model.

Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, based on content of an existing human-to-computer dialog session between a user and an automated assistant, an entity mentioned by the user or automated assistant may be identified. Fact(s)s related to the entity or to another entity that is related to the entity may be identified based on entity data contained in database(s). For each of the fact(s), a corresponding measure of potential interest to the user may be determined. Unsolicited natural language content may then be generated that includes one or more of the facts selected based on the corresponding measure(s) of potential interest. The automated assistant may then incorporate the unsolicited content into the existing human-to-computer dialog session or a subsequent human-to-computer dialog session.

Abstract: Methods, systems, and apparatus for receiving, by a voice action system, data specifying trigger terms that trigger an application to perform a voice action and a context that specifies a status of the application when the voice action can be triggered. The voice action system receives data defining a discoverability example for the voice action that comprises one or more of the trigger terms that trigger the application to perform the voice action when a status of the application satisfies the specified context. The voice action system receives a request for discoverability examples for the application from a user device having the application installed, and provides the data defining the discoverability examples to the user device in response to the request. The user device is configured to provide a notification of the one or more of the trigger terms when a status of the application satisfies the specified context.

Abstract: Example techniques are provided for the task of differentially private clustering. For several basic clustering problems, including Euclidean DensestBall, 1-Cluster, k-means, and k-median, the present disclosure provides efficient differentially private algorithms that achieve essentially the same approximation ratios as those that can be obtained by any non-private algorithm, while incurring only small additive errors. This improves upon existing efficient algorithms that only achieve some large constant approximation factors.

Abstract: This disclosure describes methods, apparatuses, and techniques for capturing a fingerprint image using an electronic device with an under-display fingerprint sensor (UDFPS) embedded under a display screen of a display system. The display system utilizes a pulse-width modulation circuit to generate a pulse-width modulated (PWM) signal to control light emitted by the display screen. As the display screen illuminates a user's touch, the UDFPS captures light reflected off the user's touch, therefore, capturing the fingerprint image. The captured fingerprint image, however, includes a PWM noise. The electronic device uses a noise-filtering algorithm to filter out and/or reduce the PWM noise in the captured fingerprint image. In one aspect, the noise-filtering algorithm estimates and/or determines the PWM noise in the captured fingerprint image. The noise-filtering algorithm then reduces, extracts, and/or filters out the PWM noise from the captured fingerprint image.

Abstract: Various arrangements for using captured voice to generate a custom interface controller are presented. A vocal recording from a user may be captured in which a spoken command and multiple smart-home devices are indicated. One or more common functions that map to the multiple smart-home devices may be determined. A custom interface controller may be generated that controls the one or more common functions of each smart-home device of the multiple smart-home devices.

Abstract: A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

Abstract: A device for generating a qubit control signal includes: a first signal envelope generator circuit including a first multiple of signal sources, in which an output of each signal source of the first multiple of signal sources is combined to provide a first cumulative output; and a first mixer circuit coupled to the first signal envelope generator circuit, in which the first cumulative output is coupled to a first input of the first mixer circuit, and an output of the first mixer circuit includes a first qubit control signal.

Abstract: Systems and methods for content storage and retrieval are disclosed herein for accessing portions of a file at a client device. A client device receives a request to access a file at the client device. The file includes file portions that are stored at a web-based storage system in communication with the client device via a network. The client device provides the web-based storage system with access to a metafile stored on the client device. The metafile includes an identifier for each of the file portions for the file and an indication of whether each of the file portions are already stored on the client device. In response to the web-based storage system accessing the metafile stored on the client device to identify a set of file portions that is not stored on the client device, the client device receives the identified set of file portions from the web-based storage system via the network.

Abstract: Hardware transactions or other techniques, such as custom PCIe handling devices, are used to atomically move pages from one host's memory to another host's 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: Operations of a method include receiving a configuration request requesting configuration management of a base configuration package that describes infrastructure of an application. The operations include determining, for the base configuration package, a plurality of package functions. Each package function of the plurality of package functions extends functionality of the base configuration package. The operations include determining, for the base configuration package and the plurality of package functions, a change-proposal function. The change-proposal function proposes one or more of the plurality of package functions to extend the functionality of the base configuration package. The operations include transmitting, to a user device, the change-proposal function and receiving, from the user device, approval of the change-proposal function.