Abstract: A system or method trains and implements a machine learning model for object detection. A first computing device remote to a vehicle trains a machine learning model by receiving a decoded set of previously encoded training image data and training the machine learning model to detect objects within images based on the decoded set of training image data. A processor of a second computing device encodes at least one image captured by a camera, decodes the encoded image, and executes the machine learning model to extract a set of objects from the decoded image.

Abstract: Techniques are described for generating a composite display of multiple user interface elements, each of which presents datasets corresponding to the operational parameters of computing resources even though the computer resources may operate in different computing environments. In some cases, the composite display includes a feature that enables a comparison of operational performance data between a target measurement period relative to a selectable reference period. The reference period may be manually selectable from a menu of candidate time periods or identified and/or selected by the system based on a similarity between data characteristics in the target measurement period and a baseline measurement period.

Abstract: An example implementation may involve: obtaining state information characterizing a software application, wherein the state information indicates a plurality of use states of the software application; identifying a current use state of the plurality of use states; determining, based on the state information and the current use state, an activity to perform via the software application or a further software application; and providing a message including the activity.

Abstract: Aspects of the disclosure relate to verifying external accounts in real-time using dynamic smart contracts. A computing platform may receive a consumer request to initiate a transaction, at an enterprise organization, with an entity associated with an account. The computing platform may use the received consumer request to generate a smart contract profile associated with the entity. The computing platform may use the smart contract profile associated with the entity to determine a trust score associated with the entity. The computing platform may gather data indicating external accounts associated with the entity. The computing platform may use the data indicating the external accounts associated with the entity to determine a confidence threshold value. The computing platform may compare the trust score associated with the entity to the confidence threshold value to verify the legitimacy of the account associated with the entity.

Abstract: A method for performing fact verification includes receiving a document for verification; identifying and extracting, on the computer network, at least two named entities from the document for verification and associated information as metadata; identifying, off-chain, identifiers of relevant documents corresponding to each of the at least two named entities, the relevant documents being authenticated documents including one or more of the at least two named entities; identifying a predetermined number of relevant documents among the identified relevant documents based on a number of the at least two named entities present and a number of occurrences for each of the named entities; and determining whether the document to be verified is supported by the predetermined number of relevant documents.

Abstract: Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing one-click driver image labeling to facilitate the assignment of drive time to a driver. Various aspects of the driver and/or passengers may be determined, which may include a driver identifier previously associated with the driver, whether the driver is wearing a facial covering, whether an image of the driver is partially occluded, whether the driver is facing in the direction of the camera, and whether an image of the driver is expected to be easily recognizable to a person tasked with assigning representative driver images to driver identifiers. These determinations may be used to improve the efficacy and ease-of-use of a visual login system.

Abstract: Data transfer for access points or switches in a cluster upon data tunnel failure is described. An example includes receiving uniform mapping information for a cluster including a bucket map mapping an active gateway and a standby gateway for each of multiple entries, the bucket map including mapping a first gateway node as a standby gateway and a second gateway node as an active gateway for an entry. Synchronized user information is received from the second gateway node including identification of a user indexed to the first entry. A message is received from a first AP or switch requesting activation of the user on the first gateway node as a standby gateway upon failure of a data tunnel between the first AP or switch and the second gateway node. The user is activated on the first gateway node.

Abstract: One mode of the analysis information management method according to the present invention is a method for managing information related to an analysis by an analyzing device, using a computer or computers, including the steps of: collecting, as comprehensive log information, work-log information related to a use of the analyzing device; calculating the number of executions of each of types of work including a manual analysis operation and a batch analysis operation, using at least a portion of the comprehensive log information collected in the step of collecting; presenting, to a user, information of the number of executions of each type of work obtained in the step of calculating; receiving, from the user, an input of one or more types of work selected from the types of work; and presenting, to the user, the work-log information concerning the one or more types of work received from the user.

Abstract: A user equipment device may include a radio that conveys wireless data with one or more base stations using a set of component carriers (CCs) that are concurrently-active under a carrier aggregation scheme or a dual connectivity scheme. When in a thermally-constrained state, a resource manager on the radio may intelligently select a CC to drop from use in conveying the wireless data. The resource manager may select the CC to drop based on the bandwidths, data rates, error rates, and/or activation/deactivation rates of the set of CCs, a power budget assigned to the radio, and/or information about the demodulation and decoding clusters in a modem of the radio. Selecting the CC to drop in this way may provide greater power and temperature reduction at the radio and/or less wireless performance reduction than blindly dropping the most recently added CC from use in conveying the wireless data.

Abstract: A method for performing fact verification includes receiving a document for verification; identifying and extracting, on the computer network, at least two named entities from the document for verification and associated information as metadata; identifying, off-chain, identifiers of relevant documents corresponding to each of the at least two named entities, the relevant documents being authenticated documents including one or more of the at least two named entities; identifying a predetermined number of relevant documents among the identified relevant documents based on a number of the at least two named entities present and a number of occurrences for each of the named entities; and determining whether the document to be verified is supported by the predetermined number of relevant documents.

Abstract: The present invention provides a novel reference standard, comprising of activated-quenched polysaccharide, for quantifying polysaccharide content in a vaccine composition using nephelometry. The invention also provides a method for preparing the activated-quenched polysaccharide, for use as a reference standard. Further, a nephelometry based method for quantifying the polysaccharides in a multivalent conjugate vaccine is also provided. The reference standard of the present invention, comprising of the activated-quenched polysaccharide, is stable and can be used for accurate quantification of polysaccharides through nephelometry.

Abstract: Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing one-click driver image labeling to facilitate the assignment of drive time to a driver. Various aspects of the driver and/or passengers may be determined, which may include a driver identifier previously associated with the driver, whether the driver is wearing a facial covering, whether an image of the driver is partially occluded, whether the driver is facing in the direction of the camera, and whether an image of the driver is expected to be easily recognizable to a person tasked with assigning representative driver images to driver identifiers. These determinations may be used to improve the efficacy and ease-of-use of a visual login system.

Abstract: An embodiment of the present invention is directed to developing Autonomous Fraud Risk Management to identify emerging fraud trends in near real-time and mitigate risk by executing strategies to address fraud in a timely manner.

Abstract: Systems and methods are provided for providing a clustering solution and a Virtual Router Redundancy Protocol (VRRP) platform for a branch deployment of at least a first gateway and a second gateway. The VRRP platform can be associated with a VRRP Internet Protocol (IP) address and the first gateway configured as a VRRP master. A change in an operational status of the first gateway can be determined with the clustering solution. The second gateway can be caused to be configured, with the clustering solution, as a new VRRP master. Network traffic associated with the VRRP Internet Protocol (IP) address can be received. The second gateway can be caused to forward the network traffic.

Abstract: Systems and methods are provided for reducing WAN bandwidth consumption used by multicast for large scale software-defined branch deployments. In particular, a cloud-based multicast orchestrator may be implemented as part of an SD-WAN service. This cloud-based multicast orchestrator may orchestrate routes for multicast traffic between a multicast source and the various branches of the large scale software-defined branch deployment. This cloud-based multicast orchestrator may orchestrate routes for multicast traffic which reduce/optimize WAN bandwidth consumption. In combination with the cloud-based multicast orchestrator, examples may utilize a branch gateway hierarchy which designates one branch gateway a “leader” for a given multicast stream to further reduce WAN bandwidth consumption used by multicast.

Abstract: The present invention provides a novel reference standard, comprising of activated-quenched polysaccharide, for quantifying polysaccharide content in a vaccine composition using nephelometry. The invention also provides a method for preparing the activated-quenched polysaccharide, for use as a reference standard. Further, a nephelometry based method for quantifying the polysaccharides in a multivalent conjugate vaccine is also provided. The reference standard of the present invention, comprising of the activated-quenched polysaccharide, is stable and can be used for accurate quantification of polysaccharides through nephelometry.

Abstract: A system and a method for configuring resources over a network cloud are described. Attributes related to user roles i.e. categories of user roles, network cloud based services associated with each category, and a number of users associated with each category are received. Hardware capabilities and/or network capabilities corresponding to the attributes are determined from a mapping table stored in a repository. A service set capable of providing the hardware capabilities and the network capabilities is determined from the mapping table stored in the repository. The mapping table is based on previous implementations and instructions associated with one or more service sets. Resources are configured over the network cloud to implement the service set.

Abstract: Devices and techniques are generally described for detection of network anomalies. In various examples, first data describing network communication between a plurality of source entities and a plurality of destination entities may be received. In some examples, respective feature data representing network communication between a respective source entity and one or more of the plurality of destination entities may be generated. In some examples, an unsupervised machine learning model may be used to determine a first number of clusters of the feature data. In various cases, a first source entity that is an outlier with respect to the first number of clusters may be determined based at least in part on the first number of clusters. The first source entity may be classified as an anomalous entity.

Abstract: An aspect of the present disclosure provides a relevance ranking system for events identified by performance management systems. In one embodiment, a system receives, from one or more performance management systems, events associated with performance metrics and determines, based on the received events, a corresponding relevance score for each performance metric. The system generates a ranking list of the received events based on the corresponding relevance scores (determined for the performance metrics). The system then provides the ranking list of events to a user (such as an administrator). According to another aspect, the system (noted above) performs the steps of receiving, determining, and generating for each time interval of a set of time intervals.

Abstract: According to an aspect, a (recommendation) system constructs a knowledge graph based on problem descriptors and remediation actions contained in multiple incident reports previously received from a performance management (PM) system. Each problem descriptor and remediation action in an incident report are represented as corresponding start node and end node in the knowledge graph, with a set of qualifier entities in the incident report represented as causal links between the start node and the end node. Upon receiving an incident report related to an incident identified by the PM system, the system extracts a problem descriptor and a set of qualifier entities. The system traverses the knowledge graph starting from a start node corresponding to the extracted problem descriptor using the set of qualifier entities to determine end nodes representing a set of remediation actions. The system provides the set of remediation actions as recommendations for resolving the incident.