Abstract: The invention concerns a query response device comprising: an input adapted to receive user queries; a memory (106) adapted to store one or more routing rules; one or more live agent engines (116) configured to support interactions with one or more live agents; one or more virtual assistant engines (120) configured to support interactions with one or more virtual assistants instantiated by an artificial intelligence module (103); and a routing module (104) coupled to said live agent engines and to said virtual assistant engines, the routing module comprising a processing device configured: to select, based on content of at least a first user message from a first user relating to a first user query and on said one or more routing rules, a first of said live agent engines or a first of said virtual assistant engines; and to route one or more further user messages relating to the first user query to the selected engine.

Abstract: A device may obtain first data regarding a set of events. The device may obtain second data regarding a user. The device may process the first data and the second data to identify one or more events, of the set of events, for participation by the user. The device may receive, via a user interface, a selection of a particular event of the one or more events. The device may receive, via the user interface, a set of prompts relating to participation in the particular event. The device may detect an interaction with the user interface associated with responding to the set of prompts. The device may provide information identifying the user based on the interaction with the user interface associated with responding to the set of prompts.

Abstract: A device may perform a first authentication operation, associated with a contactless media device, using a first key. The first key may permit a security mode of the contactless media device to be modified. The device may cause the contactless media device to set the security mode to a first security mode that causes the contactless media device to secure at least one transmission from the contactless media device. The device may perform a second authentication operation, associated with the contactless media device, using a second key that permits information to be read from or written to the contactless media device. The device may read first secured information from or write second secured information to the contactless media device. The first secured information or the second secured information may be secured based on the security mode of the contactless media device being set to the first security mode.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for user interface generation for transacting goods are disclosed. In one aspect, a method includes receiving order data, user data, and other data. The method further includes determining, for a particular user, an order confidence score that corresponds to a likelihood that the particular user ordered a particular good from a particular vendor on a particular day. The method further includes receiving vendor-type mapping data. The method further includes determining a good-type confidence score that corresponds to the likelihood that the particular good or the particular vendor is associated with a particular type of good. The method further includes determining a composite confidence score. The method further includes storing the composite confidence score, data identifying the particular user, data identifying the particular type of good, and data identifying the particular date.

Abstract: An unmanned vehicle (UV) system provides network data connectivity for terminals. UV nodes in the system may transmit and receive terminal data in a network of UV nodes and other nodes according to a routing protocol. The nodes may include fixed nodes or UV nodes with a wired or wireless network connection to a destination terminal. A UV node may receive data from a source terminal for transmission to the destination terminal, and when the UV node is within range of a node in the network connected the destination terminal, the UV node transmits the received data to the node within range for forwarding to the destination terminal via the network.

Abstract: A method and systems for developing a composite sequence for electrical power transmission and distribution equipment in a power system are provided. The system includes a sequencing generation circuitry to generate a composite sequence for electrical power transmission and distribution equipment according to a demographics sub-sequence, a utilization sub-sequence, a maintenance sub-sequence, a performance sub-sequence, a criticality sub-sequence and a condition sub-sequence. The system also includes a first sub-model to predict a future equipment sequence of the electrical power transmission and distribution equipment in the power system and a second sub-model that generates the replacement control scheme for replacing utilities assets.

Abstract: The present invention relates to a computer network that provides secure authentication. The computer network comprises a server operable to generate a token comprising identification information; a first device to be authenticated, the first device being operable to receive the token; a second device associated with a trusted identifier, the second device being operable to retrieve the token from the first device and associate the token with the trusted identifier to authenticate the first device at the server.

Abstract: According to examples, inventory, growth, and risk prediction using image processing may include receiving a plurality of images captured by a vehicle during movement of the vehicle along a vehicle path. The images may include a plurality of objects. The images may be pre-processed for feature extraction. A plurality of features of the objects may be extracted from the pre-processed images by using a combination of computer vision techniques. A parameter related to the objects may be determined from the extracted features. A spatial density model may be generated, based on the determined parameter and the extracted features, to provide a visual indication of density of distribution of the objects related to a portion of the images, and/or to provide an alert corresponding to the objects related to the portion of the images.

Abstract: In the pharmaceutical research and development process, it may be necessary to process large amounts of medical records or clinical literature, to ensure safety of patients consuming a drug. A pharmacovigilance system may assist in this process by efficiently and automatically processing medical records to extract information and relationships contained therein and may also form a preliminary assessment regarding a medical or clinical judgment. The pharmacovigilance system may automatically generate reports based on this information, which may be validated by trained clinicians and medical experts.

Abstract: A method for optimizing network parameters of a network includes receiving, via a network probe in communication with the network, a service type, key performance indicators associated with the service type, and network parameter information of the network. A customer satisfaction score associated with the service type and the associated key performance indicators is determined. When the customer satisfaction score is determined to be below a threshold, one or more network parameters leading to the customer satisfaction score being below the threshold are determined from the network parameter information. The one or more network parameters are adjusted, via a network configuration interface in communication with the network, to thereby increase the customer satisfaction score.

Abstract: A device may receive, from a user device, an implicit search request identifying a resource accessed by a user of the user device. Based on properties defined in a user role and a rule identified in context configuration information, the device may determine an intent associated with the user and a context associated with the intent and the resource accessed by the user. The device may send, based on query options identified in search configuration information, a search query identifying search criteria associated with the context, and may receive a search response identifying available resources that satisfy the search criteria. The device may determine a probability, for each of the available resources, that the available resource matches the context, identify a portion of the search response based on the probabilities, and send the portion to the user device.

Abstract: A patient anonymizing system includes a plurality of hashing appliances and data sources. Each appliance receives medical records containing at least confidential protected health information (PHI). A salt value is appended to each confidential PHI, and a hash is generated, which replaces the confidential PHI to generate an anonymized record. A master patient index server aggregates the anonymized records. A vector and cluster matching engine determines if the anonymized record matches a unique patient identifier corresponding to a second anonymized record. A comparison vector is generated by comparing hash values of the confidential PHI with hash values in the second anonymized record, and is crossed with a confidence vector having weights based on match conditions. This produces a match confidence level, which is compared to a threshold. If the threshold is met, the anonymized record is mapped to the unique patient identifier associated with the second record.

Abstract: A device may instrument a codebase associated with a software application. The device may execute a test on the instrumented codebase as the instrumented codebase executes, wherein the instrumented codebase generates test data based on the test being executed. The device may generate, based on the test data, a live graphical model of the codebase from a composite graphical model of the codebase, wherein the composite graphical model includes historical information, associated with the codebase, mapped to a graphical model of the codebase. The device may generate an extended reality rendered view of the live graphical model. The device may provide, to an extended reality device, the extended reality rendered view of the live graphical model for display by the extended reality device.

Abstract: Contextual graph matching based anomaly detection may include evaluating computer-generated log file data to create a master directed graph that specifies known events and transitions between the known events. The master directed graph may be processed to determine a plurality of decomposed master graph walks. Incoming computer-generated log file data may be evaluated to create an incoming directed graph that specifies unknown events and transitions between the unknown events. The incoming directed graph may be processed to determine a decomposed incoming walk. Overlap, distance difference, and correlation scores may be determined for each walk pair of a plurality of walk pairs including each of the plurality of decomposed master graph walks and the decomposed incoming walk. One of the decomposed master graph walks may be selected based on the overlap score, the difference score, and the correlation score, to detect an anomaly.

Abstract: A certification management system helps an organization develop and maintain a repository of current certification status of employees. The system may integrate multiple learning management systems and other enterprise level systems across the organization. The system facilitates identifying and enrolling targeted employees for any number and type of certification programs. The system may also implement and support reconfiguring certification programs, for example, during training, and enforcing recertification requirements according to maturing business needs. The system provides automated workflows that facilitate a formal, structured approach to the development and recognition of specific specialized skills at scale by infusing more consistency, rigor, and objectivity.

Abstract: Examples of an intelligent data quality application are defined. In an example, the system receives a data quality requirement from a user. The system obtains target data from a plurality of data sources. The system implements an artificial intelligence component sort the target data into a data cascade. The data cascade may include a plurality of attributes associated with the data quality requirement. The system may evaluate the data cascade to identify a data pattern model for each of the attributes. The system may implement a first cognitive learning operation to determine a mapping context from the data cascade and a conversion rule from the data pattern model. The system may establish a data harmonization model corresponding to the data quality requirement by performing a second cognitive learning operation. The system may generate a data cleansing result corresponding to the data quality requirement.

Abstract: A system for controlling user access to a service includes a read device that reads a payment card of a user, and a first control block coupled an entry gate determines whether online payment authorization should be requested for the payment card. A first memory stores a hot list indicating payment cards for which the first control block denies user access to the service. If the online payment authorization is denied for the payment card, the first control block adds the payment card to the hot list. A further read device is configured to read the payment card, and a second control block coupled to the further read device controls a second gate after determining whether the payment card is on the hot list stored in a second memory coupled to the second control block, the hot list being updated with modifications via a network.

Abstract: Provisioning resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features. A cloud computing provisioning architecture implements a sequence of complex technical analyses that successfully provisions complex cloud computing services. The provisioning architecture disaggregates resources into individual provisioning actions, and also selectively re-aggregates the resources into template blocks which a service provider accepts for native provisioning.

Abstract: A system and a method for selecting controllable parameters for equipment operation safety are provided. The system includes a memory, a display, a communication interface, and circuitry in communication with the memory, the communication interface and the display, the circuitry is configured to: identify a key safety monitoring index (KSMI) for the equipment operation safety, select a first subset of the controllable parameters according to a first regression, select a second subset of the controllable parameters from the first subset of the controllable parameters to predict the KSMI, predict the equipment operation safety for a future time, determine a safety range, and transmit the controllable parameters to be set for the equipment operation safety according to the determined safety range.

Abstract: A method and system generate test cases for applications that include User Graphical Interfaces (GUIs). The system may extract GUI information from prototype requirements (e.g., interactive wireframes), generate a screen model for each screen of the GUI by using a subset of extracted GUI information, generate an application model representing the prototype requirements by combining the screen model for each screen, and generate test cases by using the sequence of the GUICs and the event types included in the test path and a semantic knowledge base. The semantic knowledge base is generated by using the relationships between GUICs and the GUIC events.