Abstract: The backup schedule for a group of routine or known clients and data objects is generally defined by default backup policies and priorities, and such policies and data assets demand resources of the system. The resource allocation among data assets being processed is analyzed and reallocated (tuned) as necessary to ensure that critical data assets are provided with the necessary resources for their protection operations. Embodiments use a machine learning (ML) model that would identify the resource consumption for the all the running policies to smartly allocate the optimal number of resources based on the criticality of the data object and their policies.

Abstract: A dynamic data policy creation process utilizes certain supervised learning processes to classify data criticality for tagged clients to provide dynamic policy definitions and process adhoc (special) backup requests. Such embodiments prevent the need to manually determine criticality and create protection policies whenever a new data object into the system. A data tagger and KNN-based classifier provide an intelligent solution to data protection ecosystems to meet the dynamic request of data objects through a dynamic backup policy creation system and method that uses certain artificial intelligence (AI) and machine learning (ML) based solutions.

Abstract: A data protection system implements a Naïve Bayes classifier-based server health resiliency process that greatly helps the amount of time needed to resolve any health-based issue in the server. The Naive Bayes is an example of a simple classifier that classifies based on probabilities of problematic or potential failure causing events. This helps empower vendor applications to intelligently identify automatically resolve these flaws without the need for vendor personnel on the customer environment. Such a process uses historical cases and trains machine learning models in such a way that troubleshooting, log analysis and recommendations will be done proactively to identify root causes of issue and identify and apply available and appropriate fixes and workarounds.

Abstract: Systems and techniques performing autonomous navigation are illustrated. One embodiment includes a method for navigation. The method inputs a set of sensor data obtained from a plurality of sensors into at least one convolutional neural network (CNN). The at least one CNN generates a plurality of key-value pairs where each the key-value pair corresponds to an individual sensor from the plurality of sensors; and a value included in the key-value pair is determined based upon a subset of sensor data obtained from the individual sensor. The method inputs at least one navigation query and the plurality of key-value pairs into a Cross-Attention Transformer (CAT). The method obtains, from the CAT, a set of weighted sums, wherein each weighted sum corresponds to: a certain key-value pair; and a certain sensor from the plurality of sensors. The method updates a model depicting a 3D environment based on the set of weighted sums.

Abstract: A data protection system uses machine learning to detect the cyber-attacks on a data protection system in advance to notify the user of possible attacks and also instigate any counter attacks to the best possible extent. The system trains a support vector machine model (SVM) to recognize a malware, or other type of attack before it comes into action against the system. This model learns the parameters of hazardous files or code to prepare the best model of attributes of such files to help block the malware proactively. It uses several independent variables as features to gain more accuracy to the threat detection. Some of the parameters include: rate of data change (Drastic/High/Low), attack vulnerability history, resource usage history, performance metrics, application hit ratio, and the like.

Abstract: A magnetoresistive random-access memory cell includes a templating layer, including a binary alloy having an alternating layer lattice structure, and a half metallic Heusler multilayer structure including a plurality of layers of two different Heusler compounds, at least one of which is half metallic. The half metallic Heusler multilayer structure is located outward of the templating layer and exhibits perpendicular magnetic anisotropy (PMA). A tunnel barrier is outward of the half metallic Heusler multilayer structure, and a magnetic layer is outward of the tunnel barrier.

Abstract: A container load balancer process helps schedule backups of containerized data based on defined attributes and historical data. Containers are classified using a KNN-based classifier based on attributes. A tagger component assigns a priority tag to each container. A monitor monitors an assignment of backup tasks to proxies for the backing up step, and a load balancer determines if the assignment distributes backup loads within a defined performance tolerance, and adjusts the assignment if not. A backup server then backs up the container data in an order determined by the classifying and the assignment or adjusted assignment.

Abstract: A container prioritization process helps schedule backups of containerized data based on defined attributes and historical data. Containers are classified using a KNN-based classifier based on attributes. A tagger component assigns a priority tag to each container. Containers are backed up by a backup server through a schedule based on the priority tags of the containers. New containers are automatically classified and tagged within the prioritization schedule using the KNN-based classifier.

Abstract: Methods and systems are provided for displaying transcriptions of radio communication transcription for an aircraft. The method comprises capturing audio signals of radio communication traffic to and from the aircraft. The captured audio signals are preprocessed to divide the signals into independent spoken utterances. Each spoken utterance is transcribed using a speech recognition decoder that utilizes an air traffic control (ATC) speech recognition model and classification data is extracted from the transcription of each spoken utterance. The transcription of each spoken utterance is logged with reference to the classification data and a textual display of the transcription is provided to a crew member of the aircraft.

Abstract: The present invention includes a device for hypoxia training comprising: one or more electrochemical cells each comprising: a cathode and an anode separated by a proton exchange membrane, each of the anode and cathode in communication with an input and an output, wherein the input of the cathode is in fluid communication with ambient air, and wherein the input of the anode is in fluid communication with a source of liquid water; a power supply connected to the one or more electrochemical cells; and a mask in fluid communication with the output from the cathode of the one or more electrochemical cells, wherein oxygen is removed from the ambient air during contact with the cathode when hydrogen ions separated from liquid water by a catalyst on the anode convert oxygen in the ambient air into water.

Abstract: Examples of a virtualized file server that persistently stores file system event data records are described. The virtualized file server may include an audit framework with a connector publisher that is configured to publish the event data records and other information for consumption by other services using a message system. The event data records may include data related to various operations on the file system executed by the VFS. The VFS may persistently store event data records according to a data retention policy and/or until an event data record is consumed by one or more particular services.

Abstract: A system described herein may record, to a distributed ledger, information associating a particular application with a particular set of Quality of Service (“QoS”) information. A particular Multi-Access/Mobile Edge Computing (“MEC”) device operator system may access the distributed ledger to identify the information associating the particular application with the particular set of QoS information. The system may read, from the distributed ledger, MEC configuration information indicating that the MEC device operator system has configured one or more MEC devices, of a plurality of MEC devices to provide the particular application in accordance with the particular set of QoS information. The system may select a particular MEC device, from the plurality of MEC devices, based on a request and further based on the MEC configuration information, and may output an indication of the selected particular MEC device in response to the request.

Abstract: A data dictionary generation system automatically populates and updates a data dictionary for listings offering shared data. The data listing distribution component distributes the data dictionaries to various remote deployments in a data exchange by using a global messaging framework and replication method. For example, the data listing distribution component replicates a data dictionary generated for the listing and its shared data from a source deployment to one or more destination deployments associated with various geographic regions. The data listing distribution component distributes the listing to the various remote deployments to allow for the listing, including its shared data and data dictionary, to be accessed by users within the geographic region associated with the remote deployment.

Abstract: An adapter is provided that includes a first interface to couple to a particular device, where link layer data is to be communicated over the first interface, and a second interface to couple to a physical layer (PHY) device. The PHY device includes wires to implement a physical layer of a link, and the link couples the adapter to another adapter via the PHY device. The second interface includes a data channel to communicate the link layer data over the physical layer, and a sideband channel to communicate sideband messages between the adapter and the other adapter over the physical layer. The adapter is to implement a logical PHY for the link.

Abstract: Described herein are compounds that are TYK2 inhibitors, methods of making such compounds, pharmaceutical compositions and medicaments comprising such compounds, and methods of using such compounds in the treatment of conditions, diseases, or disorders that would benefit from modulation of TYK2 activity.

Abstract: Modular systems and methods for removal of contaminants from a mixed plastic waste pyrolysis oil and optionally processing it in a hydrogenation unit to produce a decontaminated hydrogenated pyrolysis oil. These contaminants include metal compounds and non-metal compounds, such as silica compounds, halogenated compounds, phosphorous compounds, oxygenates, and nitrogenates.

Abstract: An embodiment of a User Equipment (UE) for supporting a communication with IRS in communication networks is disclosed. The UE is configured to receive configuration signal from a network device for configuration of a set of trigger points. Based on the set of trigger points, the UE is configured to detect one or more pilot signals from an IRS controller corresponding to the IRS, and perform measurement of one or more parameters. The UE is configured to transmit a first set of information to the network device based on the detected one or more pilot signals and the measurement of the one or more parameters and receive one or more instructions, for executing a handover procedure for network communication from the network device to the IRS, based on the transmitted first set of information.

Abstract: Methods and systems are provided for assisting operation of a vehicle using speech recognition. One method involves analyzing a transcription of an audio communication with respect to the vehicle to characterize a nonstandard pattern within the transcription of the audio communication, obtaining a ground truth for the transcription of the audio communication, determining one or more performance metrics associated with the nonstandard pattern within the transcription based on a relationship between the transcription of the audio communication and the ground truth for the transcription, updating a speech recognition vocabulary for the vehicle to include the nonstandard pattern based at least in part on the one or more performance metrics and determining an updated speech recognition model for the vehicle using the updated speech recognition vocabulary and the audio communication.

Abstract: An automated, dynamic system and method of testing infrastructure-as-code (IaC). The system is configured to validate infrastructure provisioned in multi-cloud environments and is able to accommodate any cloud provider. Implementation of such as system can eliminate manual errors, as well as enable early detection of errors (i.e., before production deployment), thus empowering early ‘go live’. Furthermore, the proposed embodiments are configured to integrate with already existing devOps pipelines for rapid test execution and can run as many times as needed with minimal configuration, allowing for creation and execution of complex scenarios to test low-level validation upon cloud infrastructure setup.

Abstract: Compounds for treating an inflammatory disease, disorder, or condition and, particularly, to compounds that are 5-(substitutedphenyl)-7-imino-7,8-dihydropyrimido[4,5-d]pyrimidine-2,4(1H,3H)-dione analogues and their use as anti-inflammatory agents.