Abstract: Techniques are provided for machine learning-based anomaly detection for repetitive tasks performed using edge instruments. One method includes obtaining sensor data characterizing an orientation and/or an acceleration of an edge instrument utilized to perform a repetitive task, comprising a sequence of actions, by a user. The sensor data is obtained from at least one sensor embedded in the edge instrument. The sensor data is applied to a machine learning model trained to identify a deviation from an expected sequence of actions associated with the repetitive task. The machine learning model is embedded in the edge instrument. An automated action is initiated in response to the machine learning model identifying the deviation from the expected sequence of actions.

Abstract: Methods, apparatus, and processor-readable storage media for data archival recommendation systems using artificial intelligence techniques are provided herein. An example computer-implemented method includes processing data associated with database operations performed across multiple database storage zones in one or more databases; generating, using one or more artificial intelligence techniques and based at least in part on the processing of data associated with the database operations performed across the multiple database storage zones, one or more temporal-based data archival recommendations for at least a portion of the multiple database storage zones in the one or more databases; and performing one or more automated actions based at least in part on the one or more temporal-based data archival recommendations.

Abstract: Methods, systems, and apparatuses for configuring a device for a specific task or set of tasks thereby allowing the device to be used for more than one task or set of tasks while also enabling fine-grain control over how the device may be used. A device's file system can operate with a particular file system based on the task(s) that the device will perform. Further, the device can physically configure itself based on the task(s) that the device will perform.

Abstract: Methods, apparatus, and processor-readable storage media for augmenting identifying metadata related to group communication session participants using artificial intelligence techniques are provided herein.

Abstract: A system can maintain a record of first files that have been accessed via at least one of a group of priority user accounts, wherein the record is maintained as a least recently used structure, and wherein the first files belong to a group of files. The system can, in response to determining that the group of files is to be backed up, traverse the record of files from a head of the least recently used structure, and, for respective first files of the record of first files, create respective backup tasks for the respective first files. The system can, after backing up the respective first files, perform a backup of second files of the group of files that are omitted from the record of first files.

Abstract: A system can maintain, in a directory, respective first softlinks of respective first files that have a size within a specified range, and that have been modified subsequent to a respective most-recent virus scan. The system can, in response to determining to perform an antivirus scan on a group of files that comprises the first files, perform a first antivirus scan on the first files based on identifying the first softlinks in the directory, and, after performing the first antivirus scan on the first files, perform a second antivirus scan on second files of the group of files that are not identified with respective second softlinks in the directory.

Abstract: A system can determine that a node a storage cluster has failed, wherein respective data protection levels are maintained for respective files. The system can traverse the respective files, comprising, in response to determining that a data protection level for a file is degraded and that the file is a priority file, adding an identifier of the file to a priority table for restoration of data protection, or, in response to determining that the data protection level for the file of the respective files is degraded and that the file is not the priority file, adding the identifier of the file to a non-priority table for the restoration of data protection. The system can, after traversing the files, restore respective first data protection levels of respective first files represented by the priority table, and then restore respective second data protection levels of respective second files represented by the non-priority table.

Abstract: A system can maintain respective extended attributes for respective files in a file system, wherein the respective extended attributes comprise respective first-in-first-out (FIFO) queues of user identities that have been determined to have modified the respective files. The system can receive an indication to perform a delete operation on a first portion of the file system, wherein the indication is indicative of a first user identity for which files are to be preserved. The system can, in response to receiving the indication, evaluate the respective files, comprising in response to determining that the first user identity is omitted from a FIFO queue of the respective FIFO queues, delete a file of the respective files that corresponds to the FIFO queue; and in response to determining that the first user identity is identified in the FIFO queue, refrain from deleting the file.

Abstract: Techniques are disclosed for hyper-segmented personalization using machine learning-based models in an information processing system. For example, a method obtains one or more product experience recommendation data sets respectively from one or more product entities, and one or more purchase experience recommendation data sets respectively from one or more commerce entities. The method applies a federated ensemble-based machine learning algorithm to at least one of the one or more purchase experience recommendation data sets and at least one of the one or more product experience recommendation data sets to generate a personalized model, and causes adaptation of a purchasing interface of at least one of the one or more commerce entities with respect to a given user based on the personalized model.

Abstract: D-serine is effective for inhibiting neuron loss due to an immune response by glial cells to a brain injury. An example of a method includes artificially administering a composition including D-serine to brain cells after an injury thereto, the composition including an amount of D-serine effective to inhibit death of neurons.

Abstract: A diesel exhaust fluid (DEF) nozzle includes a first conduit, an outlet of the first conduit defining an inlet of a first mixing chamber; and a second conduit disposed around the first conduit, an outer surface of the first conduit and an inner surface of the second conduit defining a second flow path therebetween. A flow area of the second flow path decreases from an inlet of the second flow path to a throat, and increases from the throat to an outlet of the second flow path. The inner surface of the second conduit defines a peripheral wall of the first mixing chamber, and a peripheral wall of a second mixing chamber, the first flow path and the second flow path being in fluid communication with the second mixing chamber via the first mixing chamber.

Abstract: A system can maintain respective extended attributes for respective files in a file system, wherein the respective extended attributes comprise respective first-in-first-out (FIFO) queues of user identities that have been determined to have modified the respective files. The system can receive an indication to perform a delete operation on a first portion of the file system, wherein the indication is indicative of a first user identity for which files are to be preserved. The system can, in response to receiving the indication, evaluate the respective files, comprising in response to determining that the first user identity is omitted from a FIFO queue of the respective FIFO queues, delete a file of the respective files that corresponds to the FIFO queue; and in response to determining that the first user identity is identified in the FIFO queue, refrain from deleting the file.

Abstract: A system can create a group of at least one file on a source computer. The system can perform iterations of backing up the group of at least one file to a destination computer. The system can store respective job status indications of respective iterations of the iterations of backing up the group of at least one file. The system can, in response to determining to back up the data, and in response to determining that the job status indications indicate that at least one iteration of the iterations of backing up the group of at least one file was successful, back up the data to the destination computer, or, in response to determining that the job status indications indicate that the at least one iteration of the iterations of backing up the group of at least one file was unsuccessful, refrain from backing up the data.

Abstract: Systems, methods, and computer-readable media for managing storing of data in a data storage system using a client tag. In some examples, a first portion of a data load as part of a transaction and a client identifier that uniquely identifies a client is received from the client at a data storage system. The transaction can be tagged with a client tag including the client identifier and the first portion of the data load can be stored in storage at the data storage system. A first log entry including the client tag is added to a data storage log in response to storing the first portion of the data load in the storage. The first log entry is then written from the data storage log to a persistent storage log in persistent memory which is used to track progress of storing the data load in the storage.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that implement an off-screen indication of battery charge in mobile platforms. In an example, the apparatus includes a keyboard, an interface circuitry, and a processor circuitry. The example processor circuitry to instantiate remaining state of charge (RSOC) controller circuitry to detect a battery charge level display event on a mobile device, the mobile device in a pre-boot state. The example processor circuitry additionally to instantiate fuel gauge circuitry to determine a charge level of a battery of the mobile device and keyboard display circuitry to, after the battery charge level display event, cause a display of the charge level of the battery in the pre-boot state with ones of backlights of a second ones keys on the keyboard.

Abstract: A proportional actuator, and a unibody magnetic housing for use in a proportional actuator. The proportional actuator includes a coil assembly with a coil and coil cover; the coil assembly is fitted to the unibody magnetic housing to form a magnetic coupling. The unibody magnetic housing includes a wall having a region of varying wall thickness, which may be formed by an annular groove, and a central bore in which a plunger may be slidably mounted so that its end moves along the region of varying wall thickness as it slides within the central bore.

Abstract: Methods, apparatus, and processor-readable storage media for identifying vulnerabilities across software code repositories are provided herein. An example computer-implemented method includes maintaining at least one database associated with a plurality of code repositories; in response to detecting a build process associated with a first code repository of the plurality of code repositories, extracting and storing metadata related to the first code repository in the at least one database; identifying at least one vulnerability associated with the first code repository of the plurality of code repositories; determining whether an additional code repository of the plurality of code repositories is impacted by the at least one vulnerability based at least in part on the metadata stored in the at least one database for the additional code repository; and initiating one or more automated actions to at least partially remediate the at least one vulnerability in the additional code repository.

Abstract: Methods, apparatus, and processor-readable storage media for automatically prioritizing supply chain-related demand using artificial intelligence techniques are provided herein.

Abstract: Methods, systems, and apparatuses for configuring a device for a specific task or set of tasks thereby allowing the device to be used for more than one task or set of tasks while also enabling fine-grain control over how the device may be used. A device's file system can operate with a particular file system based on the task(s) that the device will perform. Further, the device can physically configure itself based on the task(s) that the device will perform.

Abstract: A system can determine that an integrity of a data backup is to undergo a validation process, wherein the data backup is located at a target location, and wherein the data backup comprises a backup of source data at a source location. The system can identify a subset of files of the source data to validate in the data backup, wherein the subset of files is determined prior to performing the determining that the integrity of the data backup is to undergo the validation process. The system can, as part of validation of the subset of files according to the validation process, validate respective first hashes of respective files of the subset of files relative to respective second hashes of respective corresponding second files of the data backup, to produce a validation result. The system can store the validation result.