Abstract: Disclosed herein are embodiments of systems, methods, and products comprises an analytic server, which evaluates user data for premium financing status and dynamically renders graphical user interfaces. The server trains an artificial intelligence model based on historical user data. The artificial intelligence model comprises one or more data points with each data point representing one of a plurality of attributes and applies a logistic regression algorithm to identify a weight factor for each attribute. The server uses a dynamic algorithm to generate a score by combining the plurality of attributes based on the weight factors. The server receives responses regarding the scores that indicate the premium financing status of each case. The server retrains the artificial intelligence model to identify new weight factors based on negative responses data. The server automatically displays new scores calculated based on the new weight factors.

Abstract: An Information Handling System (IHS) includes multiple hardware devices, and a Baseboard Management Controller (BMC) in communication with the hardware devices. The BMC includes executable code to cause the BMC to receive a message associated with a non-registered hardware device that is not registered to be managed by the BMC in which the message formatted according to a native protocol of the BMC. The code further causes the code to transmit the message to a device plugin associated with the non-registered hardware device in which the device plugin comprises custom instructions that, upon execution by a system processor, cause the IHS to convert the message into a protocol associated with the non-registered hardware device, and forward the converted message to the non-registered hardware device using the protocol of the non-registered hardware device.

Abstract: Techniques and devices for expressing multicast groups using Weave traits are described for generating a multicast address in which a wireless network device receives an application group identifier and hashes the application group identifier to generate a group identifier. The wireless network device concatenates a global identifier and a Weave fabric identifier, inserts the concatenated global identifier and the Weave fabric identifier into a network prefix field of a destination address and inserts the group identifier into a group identifier field of the destination address. The wireless network device sets the value of a plen field of the destination address to a value that indicates a length of the Weave fabric identifier and inserts the destination address into an Internet Protocol version 6 data packet.

Abstract: The present invention relates to an apparatus for accessing to a 3D virtual world through multiple devices and a method thereof, and more specifically, to an apparatus and a method for accessing to a 3D virtual world through multiple devices, capable of enabling a user to access a virtual world through various devices to enjoy services and providing the optimum access environment.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for combining individual functions into shortcuts. The program and method provide for accessing information for a shortcut for performing with respect to an image captured by a device camera, the shortcut corresponding to a combination of individual functions to apply to the image; causing, based on the accessing, display of an interface with a user-selectable element for performing the shortcut with respect to the image; receiving, via the interface, user selection of the user-selectable element; and applying, in response to the receiving, the combination of the individual functions to the image.

Abstract: This disclosure describes techniques that include using an automatically trained machine learning system to generate a prediction. In one example, this disclosure describes a method comprising: based on a request for the prediction: training each respective machine learning (ML) model in a plurality of ML models to generate a respective training-phase prediction in a plurality of training-phase predictions; automatically determining a selected ML model in the plurality of ML models based on evaluation metrics for the plurality of ML; and applying the selected ML model to generate the prediction based on data collected from a network that includes a plurality of network devices.

Abstract: A packet processing method includes a first network device receiving a first Bit Index Explicit Replication (BIER) packet including a first BIER header. When the first BIER packet is a packet sent to a second network device, and in response to determining that the second network device is an edge node device in a BIER communication network and does not support BIER packet forwarding, the first network device determines a target label used for a reverse path forwarding (RPF) check, updates the first BIER packet to obtain a second BIER packet, where the second BIER packet includes the target label but does not include the first BIER header, and sends the second BIER packet to the second network device.

Abstract: In one embodiment, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.

Abstract: Various embodiments concern mechanisms for facilitating communication between network-accessible platforms for developing, hosting, or running hybrid applications that utilize resources hosted across multiple platforms. Hybrid applications cause messages or “calls” to be passed between the platforms that must be authenticated. For example, when a call is placed by a Heroku platform to a Force.com platform, the call must be authenticated for security purposes. If Heroku has not already been authenticated when the call is submitted, an authentication process is invoked. An event listener can be used to register details regarding the initial callout task, and then register or “fire” an event when the authentication process is successfully completed. Registration of the initial callout task completely separates the authentication process from the resource being invoked. Requests can be completed without requiring further user input using at least some of the details registered by the event listener.

Abstract: The present disclosure provides a device binding method and apparatus, and an electronic device. The method includes: sending, by a first application program executing a first protocol, a query instruction to a target device, the query instruction being used to query a first device identifier of the target device in a second protocol; receiving, by the first application program, the first device identifier sent by the target device; and providing, by the first application program, the first device identifier, to enable a second application program executing the second protocol to bind a login account of the second application program to the target device based on the first device identifier.

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic training data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, validity of the generated value may be checked based on feature information. In some embodiments, generated synthetic data may be checked against all or a portion of the training data to ensure that it is not overly similar.

Abstract: A method, system and computer-readable storage medium for performing a cognitive information processing operation. The cognitive information processing operation includes: receiving data from a plurality of data sources; processing the data from the plurality of data sources to provide cognitively processed insights via an augmented intelligence system, the augmented intelligence system executing on a hardware processor of an information processing system, the augmented intelligence system and the information processing system providing a cognitive computing function; performing an impartiality assessment operation via an impartiality assessment engine, the impartiality assessment operation detecting a presence of bias in an outcome of the cognitive computing function; and, providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights.

Abstract: Embodiments of this application disclose a traffic monitoring method and apparatus, an integrated circuit, and a network device. When the traffic monitoring apparatus receives a packet, after determining that the traffic monitoring apparatus includes an empty first register, the traffic monitoring apparatus updates a value of first information in the first register to a measured value of a target performance indicator of the packet, and increases a value of second information in the first register by 1. The value of the second information in the first register is 0, the first information in the first register indicates a depth of a data bucket that carries a measured value of the target performance indicator of a to-be-monitored packet, and the second information in the first register indicates a quantity of packets that are in received packets and that match the value of the first information in the first register.

Abstract: Resource state validation may be performed for access management policies by an identity and access management system. An access management policy associated with an account for network-based services may be received and validated according to resource state obtained for resources associated with the account. A correction for a portion of the access management policy may be identified according to the validation and provided via an interface for the identity and access management system.

Abstract: A computing system aggregates information from a plurality of information channels associated with a computing device and a user of the computing device. A user configures the access for the computing system to specific information channels at a user interface. Based on a knowledge base and by machine learning techniques, the computing system analyzes the aggregated information to identify information relevant to an intelligent action for execution on behalf of the user. The computing system identifies the intelligent action in the context of the user's preferences and permissions granted to the computing system. The computing system initiates execution of the intelligent action based on a confidence level derived from analysis of information contained the knowledge base and historical decisioning information. The computing system receives feedback for an executed action and incorporates the feedback in the knowledge base for future decisioning based on aggregated information.

Abstract: A system and method for simultaneously and continuously capturing video from the interior and exterior of a vehicle. The system includes, for example, a first housing including a first connection mechanism, first and second cameras and a memory disposed in the first housing. The system also includes a second housing including a second connection mechanism adapted to be removably connected to the first connection mechanism of the first housing and encasing said first housing within the second housing. A mounting mechanism is adjustably connected to said second housing and configured to maintain at least one of the first camera and the second camera in a predetermined position by adjusting the second housing. Additional embodiments are also described including a method for capturing data.

Abstract: According to examples, an apparatus may include a processor that may generate a migration assessment for resources of a computer system. In particular, the apparatus may logically divide topological information to facilitate identification of a resource, components used by the resource, and dependencies. The system further enables users to specify user-defined migration parameters that specify the migration. For instance, the parameters may specify a cost associated with the migration of the component, a license model of the component, a security requirement of the component, a performance of the component, a customization of the component, or requirement of the component. Migration assessments and decisions may be stored to train machine-learned models. For instance, the model may assess whether a parameter will be satisfied by using a certain cloud service and whether substitutes have sufficiently satisfied dependencies based on observed migration assessments and actual migrations.

Abstract: A server operates between a patron (user), a subscriber (e.g., owner of a venue of exhibits and its website; museum, stadium, zoo, theme park, etc.), and possibly third parties such as a content distribution network (CDN). Access and content delivery are based on 1) control information provided to a patron device by physical objects at the venue and sent by the patron device to the server as part of a mutual authentication to one another, 2) user-specific information corresponding to the patron device, and 3) a pre-authorization exchange granting user-device access to physical objects and the server with the server receiving access to the user-specific information in order to locate requested information and select a subset thereof adapted in accordance with the user information. Moving physically between exhibits, a patron device rapidly disengages and re-engages the server, based thereon, without repeated logins.

Abstract: A method to distribute and manage virtual reality (VR) content among a plurality of headsets can be provided by receiving VR experience configuration information from an administrator of a VR experience including VR content module information identifying the VR content modules to be executed during the VR experience, transmitting information over a network responsive to the VR experience configuration information to a plurality of headsets to operate the plurality of headsets as part of the VR experience subject to operating limitations of the VR content identified by the VR content module information, receiving information from the plurality of headsets relating to operation of the VR experience and, monitoring the information relating to operation of the VR experience relative to the limitations of the VR content identified by the VR content module information.

Abstract: Various techniques described herein relate to a client application framework for a contact center environment. A role-specific thick client framework may include a web browser-based application having multiple processes that can be distributed across the computing infrastructure of the client device. A portion of the framework may include a container application image received from an internal server of the contact center and launched by the client device. The framework also may include queuing and communication services executing on the client device, which interface with the internal client application and external service providers to support a common queuing framework and an integrated model implementation across the contact center environment.