Abstract: Techniques described herein include frameworks and models for identifying, analyzing, and addressing hangs within distributed and heterogenous computing environments. A hang detection framework may model a distributed computing environment as a complex forest of interrelated requests. The hang detection framework may generate hang graphs based upon requests that are being processed and/or waited upon within the distributed environment. For example, a node within an acyclic graph may represent an execution entity that is currently processing one or more requests. Directed edges that connect one node to another may represent requests upon which an execution entity is waiting for another execution node to fulfill. The model may be used to isolate and address the root cause of hangs within the computing environment.

Abstract: A computer-implemented method according to one embodiment includes assigning a priority to virtual machines (VMs), and obtaining pathing information for the VMs. At least one of the VMs assigned a relatively higher priority is selected to perform a process over at least one of the VMs assigned a relatively lower priority. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method. A system according to another embodiment includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Abstract: Implementations disclosed herein are directed to a hybrid federated learning (FL) technique that utilizes both federated averaging (FA) and federated distillation (FD) during a given round of FL of a given global machine learning (ML) model. Implementations may identify a population of client devices to participate in the given round of FL, determine a corresponding quantity of instances of client data available at each of the client devices that may be utilized during the given round of FL, and select different subsets of the client devices based on the corresponding quantity of instances of client data. Further, implementations may cause a first subset of the client devices to generate a corresponding FA update and a second subset of client devices to generate a corresponding FD update. Moreover, implementations may subsequently update the given global ML model based on the corresponding FA updates and the corresponding FD updates.

Abstract: A method, computer system, and computer program product area provided. A computer transmits a query command to a storage descriptor area of a first disk. The first disk belongs to a dual-site data replication system. The dual-site data replication system provides active-active access to a volume of data stored in an active disk and replicated in a backup disk. The computer receives a response to the query command. The response indicates the active disk and the backup disk for the dual-site data replication system. The computer controls an additional copy of the volume of data at a further remote site based on the active disk.

Abstract: The disclosure describes systems, methods, and media for generating real-time insights in a voice over internet protocol (VoIP) conversation. According to the methods, an application server receives a transcript of one or more voice utterances of a participant in the VoIP conversation, and identifies a context of the VoIP conversation and a first state of the context based on the transcript. The application server further receives an intent of the participant from a conversation artificial intelligence (AI) engine based on the transcript provided to the conversation AI engine. The application server further formulates one or more queries based on the intent, the context, and the first state of the context to retrieve one or more insights from one or more backend databases, and transmits the one or more insights to a terminal of at least one participants of the VoIP conversation for display.

Abstract: A method for calibrating a radiometric device for determining and/or monitoring the density of a medium located in a container includes: determining the count rate of the radioactive radiation after it has passed through the empty container on the basis of the activity of the transmitting unit; determining the measured count rate of the radioactive radiation after it has passed through the container when a calibration medium of known density is located in the container; determining the mass attenuation coefficient according to the formula ?=?(ln(N/N0))/(?1D), where D is a beam path of the radioactive radiation or inner diameter of the container, and ?1 is density of the calibration medium; and calculating a calibration curve representing the dependence of the density of the medium on the count rate of the measured radiation intensity after the radiation has passed through the container.

Abstract: A gas turbine engine includes a compressor section with a compressor rotor shaft assembly including a plurality of compressor rotors longitudinally spaced apart from each other via respective ones of a plurality of shaft sections of a rotor shaft, each compressor rotor of the plurality of compressor rotors having a plurality of rotor vanes extending radially outward therefrom and being circumferentially spaced about the compressor rotor. A stator shroud assembly has a stator shroud casing surrounding the compressor rotor shaft assembly, a compressor flow passage being defined between the compressor rotor shaft assembly and the stator shroud casing. A pressurized air source generates a flow of pressurized air to be provided to the compressor section, and a plurality of pressurized airflow nozzles are connected with the pressurized air source and provide the flow of pressurized air into the compressor flow passage to cause the compressor rotor shaft assembly to rotate.

Abstract: A system includes a communications interface configured to receive a plurality of data series captured by a plurality of sensors. A first database includes at least a first data series of the plurality of data series. A second database includes metadata related to the first data series. One or more processors are configured to receive an instruction including an indication of a computation to perform and metadata filter criteria, query the second database to determine at least a portion of the first data series that satisfies the metadata filter criteria by reference to at least the metadata related to the first data series, access, from the first database and based on results of the query of the second database, the portion of the first data series, and perform the computation on the portion of first data series accessed from the first database.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate refinement of a predicted event based on explainability data are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interpreter component that identifies a probable cause of a predicted event based on explainability data. The computer executable components can further comprise an enrichment component that executes a diagnostic analysis based on the probable cause.

Abstract: Systems and methods for tracking anonymous visitors of an online website or mobile app are disclosed. The browsing activity by an anonymous visitor of the online website or mobile app is converted into features and a visitor-identifier associated with the browsing activity generated by the anonymous visitor is determined. The features are stored with the visitor-identifier in a super-visitor-state before the visitor-identifier is associated with a super-visitor-identifier. After the visitor-identifier is associated with the super-visitor-identifier, the features are stored with the super-visitor-identifier in the super-visitor-state. After the visitor-identifier is associated with the super-visitor-identifier, the features associated with the visitor-identifier in the super-visitor-state may be combined, e.g., aggregated, with the features associated with the super-visitor-identifier and the visitor-identifier may be removed from the super-visitor-state.

Abstract: Methods, systems, and devices for wireless communications are described. In some examples, a wireless communications system may support machine learning and may configure a user equipment (UE) for machine learning. The UE may transmit, to a base station, a request message that includes an indication of a machine learning model or a neural network function based at least in part on a trigger event. In response to the request message, the base station may transmit a machine learning model, a set of parameters corresponding to the machine learning model, or a configuration corresponding to a neural network function and may transmit an activation message to the UE to implement the machine learning model and the neural network function.

Abstract: Provided in some embodiments are systems and methods for determining a data flow path including a plurality of network devices for routing data from a first network device to a second network device; determining for the network devices one or more flow rules that specify an input for receiving data, an output for outputting data, and a role tag indicative of a role of a network device, where the role tag for one or more flow rules for a first network device of the network devices indicates a source role; distributing, to the network devices, the one or more flow rules; determining malicious activity on the data flow path; determining that the first network device is a source based at least in part on the role tag for the first network device; and sending, to the first network device, a blocking flow rule to inhibit routing of malicious data.

Abstract: New data structures for analyzing a log are generated. A hierarchical data structure includes a plurality of hierarchical nodes. Each node is associated with data and metadata. Each node may also be associated with analysis data. Information (data, metadata, and/or analysis data) of an ancestor node is imputed to a descendant node; a descendant node inherits the information of an ancestor node. When determining analysis data for a particular hierarchical node, information from any ancestor node to the particular hierarchical node may be used; however, information from non-ancestor nodes is not necessarily used. A timeline data structure includes a reference to a hierarchical node within a hierarchical data structure and a reference to an event type. The timeline data structure is thereby associated with the information of the referenced hierarchical node and information of any ancestor nodes to the referenced hierarchical node.

Abstract: An integrated circuit includes a pipeline of compare logic stages. The pipeline, at successive pipeline stages, determines whether each of a set of input symbols meets a corresponding programmable criteria. The compare logic stages each compare the set of input symbols to a respective programmable value. The compare logic stages also each provide, to a respective successive compare logic stage, a corresponding plurality of indicators of whether respective ones of the set of input symbols met the corresponding programmable criteria for that compare logic stage. The corresponding programmable criteria are configurable to be based at least in part on the corresponding plurality of indicators from a respective previous compare logic stage.

Abstract: A method can include receiving a request for field equipment data; responsive to the request, automatically processing the field equipment data using a trained machine learning model to generate a quality score for the field equipment data; and outputting the quality score.

Abstract: Methods, apparatus, systems and articles of manufacture to assign viewers to media meter data are disclosed. An apparatus includes processor circuitry to execute computer readable instructions to at least: identify a candidate household from a plurality of second households to associate with a first household based on an analysis of a first duration of time first media was presented by a first media presentation device and a second duration of time second media was presented by second media presentation devices; match different ones of first panelists of the first household with matching ones of second panelists of the candidate household; and impute respective portions of the first duration of time to the different ones of the first panelists based on portions of the second duration of time for which the matching ones of the second panelists of the candidate household were exposed to the second media.

Abstract: A method can include receiving a request for field equipment data; responsive to the request, automatically processing the field equipment data using a trained machine learning model to generate a quality score for the field equipment data; and outputting the quality score.

Abstract: A gas turbine engine includes a turbomachine comprising a low pressure (LP) spool and a high pressure (HP) spool that rotate about a central axis, an electric motor mechanically coupled to the LP spool for selectively rotating the LP spool, a starter assembly mechanically coupled to the HP spool for selectively rotating the HP spool, and a controller in operative communication with the electric motor and the starter assembly, the controller being configured to operate the electric motor to rotate the LP spool and operate the starter assembly to rotate the HP spool during engine startup.

Abstract: A method and system for payment processing and provision of account services using a cloud containerized platform that improves reliability and scalability are provided. The method includes receiving, at the cloud containerized platform from a server, a request that relates to a user account that has been received by the server from the user; analyzing a content of the first request; selecting, based on a result of the analysis, an application for responding to the request; generating a response to the request by using the selected application; and transmitting the response to the server to be forwarded to the user. The application may include any one of a payment processing application, an account information inquiry application, an account statement generation application, an account update notification application, an account information routing application, and/or a new client onboarding application.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may start a timer for obtaining quality of experience (QoE) measurements. The UE may obtain the QoE measurements until the timer expires. The UE may transmit information indicating the QoE measurements. Numerous other aspects are described.