Abstract: A feature selection methodology is disclosed. In a computer-implemented method, the feature selection methodology automatically monitors components of a computing environment. The feature selection methodology then determines the importance of various components of the computing environment. The feature selection methodology further outputs results of the determining of the importance of the components within the computing device.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, at a node of a cluster on an edge network, an indication that the cluster received a configuration update, compare a first parameter of a configuration state of the node to a second parameter of the configuration update, determine if the first parameter matches the second parameter, in response to determining that the first parameter matches the second parameter, apply the configuration update, and collect data in accordance with the configuration update.

Abstract: Aspects of the disclosure relate to detecting usage issues on enterprise systems and dynamically providing user assistance. In some embodiments, a computing platform may receive, from an automated teller system, user presence information indicating that a user has been detected at an automated teller machine associated with the automated teller system. Subsequently, the computing platform may identify, based on the user presence information received from the automated teller system, that the user has a need for assistance with the automated teller machine associated with the automated teller system. In response to identifying that the user has the need for assistance, the computing platform may generate and send one or more commands directing the automated teller machine associated with the automated teller system to execute one or more automated assistance actions corresponding to the need for assistance.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: receiving text from a user; generating, from an undirected graph, a subgraph mapping the one or more symptoms to connected diseases; calculating a respective posterior probability for each of the connected diseases using the subgraph and evidence to formulate a hypothesis diagnosis; iteratively: determining one or more questions to send the user based on a set of top symptoms for the hypothesis diagnosis; sending the one or more questions to the user; receiving one or more responses from the user; and updating the hypothesis diagnosis; and sending a recommendation to the user to schedule an appointment with a provider for the hypothesis diagnosis. Other embodiments are disclosed.

Abstract: Embodiments described herein provide for the granular network-based detection of UE location in a RAN that includes one or more mobile base stations using quantum computing. Mobile base stations may be, for example, affixed on vehicles (e.g., cars, trucks, drones, etc.), may be implemented by other UEs, and/or may otherwise be non-stationary. In contrast, fixed base stations may be mounted to towers, buildings, or other types of permanent or semi-permanent installations. Quantum computing techniques, as described herein, may aid in the precise determination of UE location using triangulation techniques and/or other network-based location techniques. Further, in RANs that include mobile base stations, the locations of both the UE and a reference point may change relatively rapidly. The use of quantum computing, as described herein, may aid in the fast and precise determination of UE location in situations where mobile base stations and/or UEs are moving rapidly.

Abstract: A method for using a graph neural network framework to improve learning and predicting in a multiplex network environment is provided. The method includes: identifying a plurality of layers of a multiplex network; estimating, for each layer, a corresponding probability of selecting the layer as being a relevant layer for training with respect to an application; estimating, for each layer, a corresponding loss associated with selecting the layer as being relevant; calculating, for each layer based on the corresponding probability and the corresponding loss, a corresponding regret associated with selecting the layer as being relevant; determining, for each layer based on the calculated corresponding regret, whether to select the layer as being relevant; and training the multiplex network with respect to the application by aggregating information obtained from layers that have been determined as being relevant layers.

Abstract: A system for facilitating a distribution interaction session between two or more user devices through peer-to-peer connections comprises a processor associated with a server. The processor is configured to receive a request from a first user device to initiate a distribution interaction session between the first user device and a second user device via a distribution interaction application. The first user device has established a peer-to-peer connection with the second user device based on geolocation information. The processor is further configured to initiate the distribution interaction session from the distribution interaction application and to receive account information from the first user device through data streaming between the first user device and the server. The processor is further configured to determine an account associated with a first user based on the received account information and to conduct the distribution interaction session between the first user and a second user.

Abstract: A method and a system for using a graph neural network framework to implement a link prediction in a multiplex network environment is provided. The method includes: identifying a plurality of layers of a multiplex network, each respective layer including a respective plurality of nodes; for each node included in at least a first layer, providing, by a structural node label and determining a common embedding across all of the plurality of layers and an individual embedding for each individual layer; using a k-nearest approach to select a subset of the plurality of layers for performing link prediction with respect to each layer based on the determined embeddings; and performing a link prediction by determining a respective feed-forward network with respect to each layer included in the selected subset.

Abstract: Provided herein are pongamia oil compositions suitable for animal consumption, in particular human consumption, as well as methods of producing such compositions. The compositions are edible and non-bitter tasting, and have certain attributes that make such compositions suitable for use as and/or in various food and beverage products. Provided herein are also methods of analyzing pongamia oil.

Abstract: Disclosed is an approach for dynamically applying roles and access levels to an actor based at least in part upon a set of conditions an object should meet for the role to be assumed. The approach may dynamically determine privileges based at least in part upon API endpoints and operations. A multi-factor approach may be taken for determining authorization based at least in part upon conditions, attributes, and policy.

Abstract: The present disclosure relates techniques for coordinating and synchronizing client-facing support services with the activities and responses from one or more technical teams assigned to address a client issue. In certain implementations, this may allow an agent or customer approach to use a single reference identifier (such as a case or matter number) to access information or updates from technical teams that do not typically employ such a number for their own tracking purposes. In this manner, relevant information to a client issue may be accessed from all involved technical teams at the agent level as well as allowing the technical teams themselves to readily see activity by other teams.

Abstract: Various embodiments disclosed herein are related to an apparatus. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to collect, at a cloud server, service data from a collector framework service of an edge network. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to provide a configuration to the collector framework service based on the service data.

Abstract: A memory interface for interfacing with a memory device includes a control circuit configured to determine whether a trigger event has occurred for initializing one or more memory locations in the memory device, and initialize the one or more memory locations in the memory device with pre-defined data upon determining the trigger event has occurred.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to identify, at an edge network, resource consumption data including a status that indicates whether a service hosted on a cluster of nodes on the edge network is powered on, a type of a resource being consumed by the service, a quantity of the resource being consumed by the service, and a time stamp associated with the resource being consumed by the service and provide, to a remote server in communication with the edge network, the resource consumption data. In some embodiments, the remote server meters resource consumption based on the resource consumption data.

Abstract: A transmitter includes a data stream encoder layer having an output and a pattern generator having a bit pattern output. The transmitter further includes a first multiplexer having first and second inputs and a first multiplexer output. The first input is coupled to the output of the data stream encoder layer, and the second input is coupled to the bit pattern output of the pattern generator. While at least a portion of the data stream encoder layer is powered down, the pattern generator is configured to provide bit patterns on its bit pattern output, a control signal to the first multiplexer is configured to select the second input of the first multiplexer, and the first multiplexer is configured to output the bit patterns on the output of the first multiplexer.

Abstract: Approaches for data compression involve a compression circuit packing non-zero data elements of a succession of words of a plurality of blocks into packed words by packing non-zero data elements of one or more words of the succession in each packed word, and restricting each packed word to data elements of one uncompressed block. The compression circuit writes each packed word in a RAM and within a compressed address range associated with the uncompressed block when the packed word is full of non-zero data elements, or before the packed word is full if the next input word is of another uncompressed block.

Abstract: An interior trim for a passenger compartment of a vehicle includes a first carrier, which has an inner side, facing the passenger compartment, and an outer side, directed away from the passenger compartment. A heating element is arranged on the outer side. It is proposed to arrange a matrix and a filler in the first carrier. The filler has a thermal conductivity that is higher than that of the matrix so that heat generated by the heating element can be directed through the filler into the passenger compartment.

Abstract: A first application name is received. For example, the first application name may be the name of the application, a Universal Resource Locator (URL) of a web site (e.g., microfocus.com), and/or the like. The first application name represents a computer application of a plurality of computer applications that the user logs into. A global password is received from the user. The global password is used as a seed to login to the plurality of computer applications. The global password is converted to a phonetic password. A first application password is generated for the first computer application based on the first application name and the phonetic password. For example, the first application name and the phonetic password are used as an input to a key deviation function. The first application password is then displayed to the user. The user can then use the displayed password to login to the first application.

Abstract: Provided herein are Pongamia oil compositions suitable for animal consumption, in particular human consumption, as well as methods of producing such compositions. The compositions are edible and non-bitter tasting, and have certain attributes that make such compositions suitable for use as and/or in various food and beverage products. Provided herein are also methods of analyzing Pongamia oil.

Abstract: A device may include a processor configured to select a quantum key distribution transmission; identify an optical fiber path via which the quantum key distribution transmission is to be performed; determine one or more values for at least one transmission parameter for the identified optical fiber path; and select a pulse script for the optical fiber path based on the determined one or more values for the at least one transmission parameter. The processor may be further configured to perform the quantum key distribution transmission via the identified optical fiber path using the selected pulse script.