Abstract: Remote presence systems and methods are presented. In one embodiment, a system may comprise a pilot workstation comprising a pilot computing station having a display, a microphone, a camera oriented to capture images of the pilot, a network connectivity subsystem, and a master input device such as a keyboard, mouse, or joystick. The pilot network connectivity subsystem may be operatively coupled to an electromechanically mobile workstation comprising a mobile base interconnected to a head component. The mobile workstation may comprise a display, a microphone, a camera oriented to capture images of nearby people and structures, and a workstation network connectivity subsystem that preferably is operatively coupled to the pilot network connectivity subsystem. Preferably by virtue of the system components, the pilot is able to remotely project a virtual presence of himself in the form of images, sound, and motion of the mobile workstation at the location of the mobile workstation.

Abstract: Described are systems and methods for establishing and generating collections of sets that contain object identifiers based on user provided annotations for the object identifiers. A set may include one or more object identifiers and each object identifier may include one or more user provided annotations. Annotations from all object identifiers within a set are processed to form a set profile signature representative of the set. The set profile signatures are then compared between different sets to identify similar sets. Similar sets are included in a collection. Utilizing set profile signatures for a set formed based on user provided annotations provides useful relationships between sets that might otherwise not exist.

Abstract: A method, a computer system, and a computer program product for mapping operational records to a topology graph. Embodiments of the present invention may include generating an event frequent pattern using operational records. Embodiments of the present invention may include integrating topology-based event frequent patterns. Embodiments of the present invention may include mapping the operational records with an embedding engine. Embodiments of the present invention may include predicting incident events. Embodiments of the present invention may include receiving labeled patterns to the embedding engine for an active learning cycle.

Abstract: In one example, a Network Functions Virtualization Orchestrator (NFVO) obtains a radio service descriptor defining communication parameters for a radio in a virtual Radio Access Network (vRAN). Based on the radio service descriptor, the NFVO determines whether a virtual Distributed Unit (vDU) that is configured in accordance with the communication parameters and a virtual Centralized Unit (vCU) that is configured in accordance with the communication parameters are already instantiated in the vRAN. If it is determined that the vDU or the vCU is not already instantiated, the NFVO automatically instantiates the vDU or the vCU in the vRAN.

Abstract: A representation of a workflow comprising a plurality of tasks is obtained. An execution of an instance of the workflow is initiated. The execution comprises selecting, with respect to a particular task of the workflow, a particular execution resource option from a set comprising at least a first execution resource option and a second resource execution option. A result of the execution is stored.

Abstract: Action flow fragment management includes executing a parent action flow including multiple steps. At least two steps are distinct pages of a web application. During execution of the parent action flow, an action flow fragment expression is obtained and executed using data gathered from a data source to obtain an action flow fragment identifier. An action flow fragment corresponding to the action flow fragment identifier is selected and executed. When execution of the action flow fragment completes, execution of the parent action flow continues.

Abstract: A portable remote support device comprises a processing unit, a network communication unit configured to communicate with a cloud service, a video capturing unit, at least one video input port and at least one output port. The processing unit is configured to communicate video signals received via the video input port to the cloud service via the network communication unit, and to emulate pointing device signals and/or keyboard signals received via the network communication unit on said at least one output port. The portable remote support device is configured to obtain unique secure tokens.

Abstract: Embodiments generally relate to a cloud computing infrastructure and method of operating the same including at least: receiving a configuration file from a configuration repository; receiving a request from a first device to configure an application rule set of one or more nodes based on the configuration file; transmitting the request to a receiver node selected from the one or more nodes; generating a notification alerting the one or more nodes that the request is stored on a database; distributing the configuration file to a subset of the one or more nodes based on receipt of an access request from the one or more nodes; and updating the application rule set of the subset of the one or more nodes based on the configuration file.

Abstract: An inspection apparatus includes a group data creation unit configured to create group data obtained by dividing a plurality of samples into a plurality of groups, a statistical state calculation unit configured to perform a statistical process for the samples divided into each of the groups to calculate data indicating a statistical state of a predetermined data item between the groups, and a user interface unit configured to display the statistical state in a display format enabling recognition of the statistical state between the groups on the basis of the data indicating the statistical state of the predetermined data item between the groups calculated by the statistical state calculation unit.

Abstract: Provided is a method, computer program product, and system for leveraging spatial scanning data of an environment collected by a robotic vacuum to generate recommendations for improving environmental conditions. A robotic vacuum may collect cleanliness data relative to an environment. The robotic vacuum may store the cleanliness data over a plurality of cleaning cycles. The robotic vacuum may analyze the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends. The robotic vacuum may generate a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends. The robotic vacuum may provide the recommendation to a user.

Abstract: Methods and arrangements in a client node and a server node support a decision on decoding and playout of a certain content in the client node. The methods and arrangements relate to the determining, conveying and obtaining of information related to the characteristics (level) required for decoding and playing out the certain media content at a non-regular playout rate. The method and arrangement in the client node further relate to determining, based on the obtained information, which playout rate(s) is/are supported by the client node in regard of level. The methods and arrangements enable the client node to refrain from attempting to decode and play out of the content at a non-regular rate requiring a level which is not supported by the client node.

Abstract: Provided is a method, computer program product, and system for leveraging spatial scanning data of an environment collected by a robotic vacuum to generate recommendations for improving environmental conditions. A robotic vacuum may collect cleanliness data relative to an environment. The robotic vacuum may store the cleanliness data over a plurality of cleaning cycles. The robotic vacuum may analyze the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends. The robotic vacuum may generate a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends. The robotic vacuum may provide the recommendation to a user.

Abstract: An ML-based method for conforming a target network to control requirements of a host network is provided. The method may include running a first digital scan of the host network and determining the host network's control requirements based on the first digital scan. The method may include identifying, based on the second digital scan, elements of the target network that violate the control requirements. The method may include generating a compliance report and/or an executable file. The compliance report may include a compatibility score of the target network vis-à-vis the host network, and a compatibility plan that includes steps which improve the compatibility score and conform the target network to the control requirements of the host network. The executable file, when executed at the target network, may execute the compatibility plan.

Abstract: A system and method may manage traffic to software applications that ingest operations into an asynchronous queue when those operations are required to execute in a synchronous manner. An identifier may be retrieved from data corresponding to each client operation. A process distribution module may be placed in front of the two incompatible systems/applications to inspect each data payload and intelligently distribute the transactions to each instance based on a well-defined algorithm (e.g., even/odd, last digit, etc.). Synchronous execution may then occur according to a timestamp for each operation.

Abstract: The present disclosure relates to a method for managing an artificial intelligence (AI) application, a device, and a program product. One method comprises receiving input data to be processed by the AI application; updating a first version of the AI application with the input data to generate a second version, wherein the first version is deployed at server equipment; compressing the second version of the AI application to generate a third version of the AI application; and deploying the third version of the AI application to terminal equipment to replace a fourth version of the AI application deployed at the terminal equipment, wherein the fourth version of the AI application is used for processing the input data received at the terminal equipment. A device and a computer program product corresponding thereto are provided.

Abstract: A key manager receives one or more asymmetric key pairs associated with a user to be associated with remote access of cloud computing resources, selects a first asymmetric key pair of the one or more asymmetric key pairs, determines one or more cloud service providers associated with the user, selects a first cloud service provider of the one or more cloud service providers to be associated with the first asymmetric key pair, determines one or more cloud service components associated with the first cloud service provider that are accessible to the user, provisions at least one of the one or more cloud service components with the first public key, and configures a connection component to establish a secure connection to the at least one of the one or more cloud service components using the first private key.

Abstract: A system and method for enabling users to operate multiple blockchain (or distributed ledger) nodes efficiently, at a much lower cost, etc. For example, when one blockchain starts to take up resources, the system can automatically adjust by looking at the application container layer to see if it is possible to shift resources. It can also shift resources at the server layer to adjust for computation and memory resources to, for example, increase efficiency. It may also share storage for nodes that share the same blockchain to, for example, increase efficiency. The system can also identify tokens that are more efficient to stake, and to shift tokens from one blockchain to another for staking reward efficiencies, etc. It may also deploy one node to another geographic region to increase decentralization, as well as adjust rewards and commissions to provide incentives to boost decentralization as well.

Abstract: Technologies are disclosed herein for enhancing machine learning (“ML”)-based anomaly detection systems using knowledge graphs. The disclosed technologies generate a connected graph that defines a topology of infrastructure components along with associated alarms generated by a ML component. The ML component generates the alarms by applying ML techniques to real-time data metrics generated by the infrastructure components. Scores are computed for the infrastructure components based upon the connected graph. A root cause of an anomaly affecting infrastructure components can then be identified based upon the scores, and remedial action can be taken to address the root cause of the anomaly. A user interface is also provided for visualizing aspects of the connected graph.

Abstract: One or more computing devices, systems, and/or methods for monitoring levels of activity of client devices using a cluster of servers having a decentralized network architecture are provided, where over-counting, which may be caused by an uneven distribution of requests transmitted by the client devices to the cluster of servers, may be mitigated. For example, a request may be received by a first server, of the cluster of servers, from a client device. A first counter value associated with a level of activity of the client device may be incremented by a first number. One or more data packets may be transmitted to one or more servers of the cluster of servers. Each data packet of the one or more data packets may comprise an instruction to increment a counter value associated with the client device by a second number, which may be different than the first number.

Abstract: Systems and methods are provided herein for an improved method of Zero-Touch Provisioning (ZTP) where a first switch receives a virtual local area network (VLAN) identifier from a second switch, allowing the first switch to reach a dynamic host configuration protocol (DHCP) server. This may be accomplished by a first switch receiving a VLAN identifier from a second switch. The first switch then transmits a DHCP discover message using the VLAN identifier. The first switch then receives reachability information for a ZTP server from the DHCP server. The first switch uses the reachability information to establish a provisioning session between the first switch and the ZTP server.