Abstract: A device may receive security data identifying assets of an entity, security issues associated with the assets, and objectives associated with the assets and may utilize a data model to generate, based on the security data, asset related data identifying mapped sets of security data. The device may process a first portion of the asset related data, with a first model, to calculate an asset risk likelihood score for an asset of the assets and may process a second portion of the asset related data, with a second model, to calculate an asset criticality score for the asset. The device may process a third portion of the asset related data, with a third model, to calculate an asset control effectiveness score for the asset and may combine the scores to generate a security risk score for the asset. The device may provide the security risk score for display.

Abstract: The detection of utilized virtual machines through usage pattern analysis is described. In one example, a computing device can collect utilization metrics from a virtual machine over time. The utilization metrics can be related to one or more processing usage, disk usage, network usage, and memory usage metrics, among others. The utilization metrics can be used to determine a number of clusters, and the clusters can be used to organize the utilization metrics into groups. Depending upon the number or overall percentage of the utilization metrics assigned to individual ones of the plurality of clusters, it is possible to determine whether or not the virtual machine is a utilized or an idle virtual machine. Once identified, utilized virtual machines can be migrated in some cases. Idle virtual machines can be shut down to conserve processing resources and costs in some cases.

Abstract: A clock recovery circuit may include: a data slicer configured to output data values based on an input signal, a first error block, a phase adjustment loop including: a first error slicer configured to generate a first error signal based on a comparison of a threshold voltage and an input voltage, wherein the first error block is configured to selectively output the first error signal in response to a first pattern in the output data values, a second error block configured to selectively output the first error signal in response to a second pattern in the output data values, and a voltage threshold modification circuitry configured to adjust the threshold voltage based on output of the second error block, a voltage-controlled oscillator, wherein the data slicer and the first error slicer are clocked based on output of the voltage-controlled oscillator.

Abstract: Methods, apparatus, and processor-readable storage media for implementing extensible upgrade and modification as a service are provided herein. An example computer-implemented method includes processing one or more modifiers, wherein each modifier includes an independent processing unit having a given canonical structure and is configured to execute one or more automated actions related to at least one of application modification and application migration; obtaining data pertaining to multiple applications across multiple computing environments; determining, based at least in part on processing at least a portion of the obtained data, at least one of the one or more modifiers applicable for use in executing at least one of the one or more automated actions in connection with at least a portion of the multiple applications; and executing the at least one of the one or more automated actions using the at least one determined modifier.

Abstract: Rewriting text in the writing style of a target author is described. A stylistic rewriting system receives input text and an indication of the target author. The system trains a language model to understand the target author's writing style using a corpus of text associated with the target author. The language model may be transformer-based, and is first trained on a different corpus of text associated with a range of different authors to understand linguistic nuances of a particular language. Copies of the language model are then cascaded into an encoder-decoder framework, which is further trained using a masked language modeling objective and a noisy version of the target author corpus. After training, the encoder-decoder framework of the trained language model automatically rewrites input text in the writing style of the target author and outputs the rewritten text as stylized text.

Abstract: A client-isolation internal/external fabric LCS provisioning system includes an orchestrator device coupled to a client device via an external fabric, and coupled to resource devices via an internal fabric that is not accessible to the client device via the external fabric. The orchestrator device configures the resource devices to communicate with each other in a manner that satisfies a workload intent for a workload requested by the client device, and presents an LCS provided using the configured resource devices to the client device via the external fabric. When the orchestrator device receives LCS communication(s) directed to the LCS from the client device via the external fabric, it provides instruction(s) to at least one of the resource devices via the internal fabric that are based on the LCS communication and that are configured to cause the at least one of the resource devices to perform function(s) for the LCS.

Abstract: A mixed reality (MR) simulation system includes a console and a head mounted device (HMD). The MR system captures stereoscopic images from a real-world environment using outward-facing stereoscopic cameras mounted to the HMD. The MR system preprocesses the stereoscopic images to maximize contrast and then extracts a set of features from those images, including edges or corners, among others. For each feature, the MR system generates one or more two-dimensional (2D) polylines. Then, the MR system triangulates between 2D polylines found in right side images and corresponding 2D polylines found in left side images to generate a set of 3D polylines. The MR system interpolates between 3D vertices included in the 3D polylines or extrapolates additional 3D vertices, thereby generating a geometric reconstruction of the real-world environment. The MR system may map textures derived from the real-world environment onto the geometric representation faster than the geometric reconstruction is updated.

Abstract: A burner comprises a central conduit, a first annular conduit, and a nozzle plate across the outlet of the first annular conduit, wherein the nozzle plate comprises a plurality of orifices that extend through the nozzle plate, and a second annular conduit which opens into a downstream space, wherein the central conduit and the first annular conduit are controllably connected to a first reactant and the second annular conduit is controllably connected to a source of a second reactant, wherein one of the first and second reactants comprises fuel and the other of the first and second reactants comprises oxygen. Combustion apparatus comprises a plurality of the burners, preferably arranged in two planes each of which contain at least one of the burners. A fuel-rich flame can be emitted in one of the planes and a fuel-lean flame can be emitted in the other plane. The fuel-rich and fuel-lean nature of the flames emitted in the respective planes can be periodically alternated.

Abstract: A three-tiered content notification system that trifurcates the content notification system into a message consumption component, a message filtering component, and a message delivery component. The message queue comprises content published to an event application programming interface (“API”) for the content notification system. By generating this queue of available content, the message filtering component may apply a batch filter on the available content as opposed to conventional per item filtering. During batch filtering, filtering criteria may be applied to all content currently in the queue. The system may rank this content such that only the highest priority and/or relevance ranking may remain in the batch. Content that is not filtered out by the system may then be sent to the message delivery component. At the message delivery component, the system may select delivery channels for the remaining content.

Abstract: A method performed by a function node for handling a voice call from a first User Equipment (UE) to be received by a second UE in a communications network. The function node is associated with the second UE. The function node receives an invite message that relates to an initiation of the voice call from the first UE to the second UE and comprises one or more parameters associated with the second UE and a time stamp of the initiating of the voice call. The function node retrieves location data from a home server associated with the second UE, based on the one or more parameters and the time stamp, which location data indicates a geographical location of the second UE. The function node predicts a reason why the second UE cannot receive the voice call, based on the location data.

Abstract: Methods, systems, and devices for data processing are described. A federation management service may receive a user selection of a first data source and a second data source via a user interface of the federation management service. The first data source and the second data source may be associated with different data source types. The federation management service may extract schema information from the first data source and the second data source by using source extensions to parse the first data source and the second data source. The federation management service may generate a federated data model by using the schema information to translate the first data source and the second data source into intermediate data sources with a common feature set. Accordingly, the federation management service may generate a target data schema for a federated application programming interface (API) based on the federated data model.

Abstract: Methods, apparatuses, and computer-program products are disclosed. The method may include deploying a runtime agent onto a private compute architecture for running one or more federated application programming interfaces (APIs) on the private compute architecture. The method may include receiving, via a user interface of a federation management service, user input to manage an operation of the one or more federated APIs, where the federation management service is hosted on public cloud-based resources. The method may include communicating, based on the user input, control signaling between the runtime agent and a runtime manager that is hosted on a control plane of the federation management service in the public cloud-based resources.

Abstract: A method for unstructured data analytics in data warehouses includes receiving an unstructured data query from a user, the unstructured data query requesting the data processing hardware determine one or more unstructured data files stored at a data repository that match query parameters. The method includes determining, using an object table, a set of unstructured data files stored at the data repository that matches the query parameters. The object table includes a plurality of rows, each row of the plurality of rows associated with a respective unstructured data file stored at the data repository, and a plurality of columns, each column of the plurality of columns comprising metadata associated with the respective unstructured data file of each row of the plurality of rows. The method includes returning, to the user, a structured data table including the determined set of unstructured data files.

Abstract: A computing system may support a federation management service that receives an input indicating a plurality of data sources comprising one or more tags corresponding to one or more elements of the plurality of data sources. The federation management service may generate a federated application programming interface (API) using the data sources, and the federated API may include elements of the data sources. The federation management service may receive a second user input selecting a set of tags for exclusion or inclusion of elements in a subgraph of the federated API. The federation management service may generate the subgraph that includes a subset of the one or more elements of the plurality of data sources.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive a time series of vectors from a sensor, determine a weighted moving mean of the vectors, determine an inverse covariance matrix of the vectors, receive a current vector from the sensor, determine a squared Mahalanobis distance between the current vector and the weighted moving mean, and output an indicator of an anomaly with the sensor in response to the squared Mahalanobis distance exceeding a threshold. The squared Mahalanobis distance is determined by using the inverse covariance matrix.

Abstract: Generally described, the presently disclosed technology utilizes managed Wi-Fi networks pre-installed throughout an MDU property to provide user-specific passphrases that can be used to access the single-SSID wireless network at the property and to provide a cloud portal that can enable convenient access to the functionalities (both by the resident and the manager) provided by the Wi-Fi controller and the Wi-Fi access points. By doing so, the Wi-Fi network management solutions described herein allow the users to experience the benefits of a shared Wi-Fi infrastructure, such as not having to set up and maintain their own Wi-Fi routers, while also allowing them to easily change their Wi-Fi settings from their connected devices.

Abstract: Systems and methods for user authentication are disclosed. An example method includes receiving a request for access to a first secured service, the request corresponding to a first user, determining whether or not the request for access is valid, in response to determining that the request for access is valid, determining whether or not the first user has successfully performed a secondary authentication within a predetermined time period of the request for access, and in response to determining that the first user has successfully performed the secondary authentication within the predetermined time period of the valid request for access, providing the first user with access to the secured service.

Abstract: The present disclosure provides systems, methods, and computer program products for providing efficient embedding table storage and lookup in machine-learning models.

Abstract: For a seamless and robust artificial intelligence-based assistant experience, an intent-based query and response router has been designed to operate as an intelligent layer between a user and multiple backend services that may respond to one or more queries over the course of a conversation with the user. The query router interacts with an intent classification service to obtain an intent classification for a prompt that is based on a user query. The query router uses the intent classification, which is used as an identifier of a backend service, to route the user query to an appropriate one (or more) of the backend services. When a response is detected, the query router determines a corresponding conversation and provides the response for the conversation.

Abstract: Example solutions for video frame action detection use a gated history and include: receiving a video stream comprising a plurality of video frames; grouping the plurality of video frames into a set of present video frames and a set of historical video frames, the set of present video frames comprising a current video frame; determining a set of attention weights for the set of historical video frames, the set of attention weights indicating how informative a video frame is for predicting action in the current video frame; weighting the set of historical video frames with the set of attention weights to produce a set of weighted historical video frames; and based on at least the set of weighted historical video frames and the set of present video frames, generating an action prediction for the current video frame.