Abstract: Biometric matching technology, in which a watch list is managed, multiple images of a potential suspect are accessed, and parallel pre-processing of the multiple images is controlled. Based on the pre-processing, an image of the potential suspect to use in matching against the watch list is determined and the determined image is used to search sorted biometric data included in the watch list. A subset of persons from the watch list is identified based on the search and parallel analysis of the determined image of the potential suspect against detailed biometric data associated with the subset of persons in the watch list is controlled. Based on the parallel analysis, it is determined whether the potential suspect matches a person in the watch list and a result is outputted based on the determination.

Abstract: The data vaporizer provides secure online distributed data storage services that securely store and retrieve data in a public distributed storage substrate such as public cloud. The data vaporizer vaporizes (e.g., fragmented into tiny chunks of configurable sizes) data and distributes the fragments to multiple storage nodes so that the data is not vulnerable to local disk failures, secures data so that even if some of the storage nodes are compromised, the data is undecipherable to the attacker, stores data across multiple cloud storage providers and/or parties using keys (e.g., tokens) provided by multiple parties (including the owners of the data) and maintains data confidentiality and integrity even where one or more data storage provider is compromised. The data vaporizer is configurable for different domain requirements including data privacy and anonymization requirements, encryption mechanisms, regulatory compliance of storage locations, and backup and recovery constraints.

Abstract: A test robot may receive a test scenario for testing a fare management system. The test robot may program a fare card to store card information based on the test scenario. The test robot may provide an instruction to an actuator component to cause the actuator component to move the fare card within communicative proximity of a card reader device. The fare card, when moved within communicative proximity of the card reader device, may cause the card reader device to read the stored card information from the fare card and to provide updated card information, based on the stored card information, for storage by the fare card. The test robot may read the updated card information from the fare card. The test robot may provide test result information, based on the updated card information, to a test management device.

Abstract: Intelligent application back stack management may include generating a first back stack for activities of an application that have been executed by a device that executes the application. The first back stack may include a back stack size limit. A further back stack may be generated for selected ones of the activities of the application if a total number of the activities of the application and further activities of the application exceeds the back stack size limit. The first back stack may be an in-memory back stack for the device that executes the application, and the further back stack may include an external on-device back stack for the device that executes the application and/or a Cloud storage based back stack. Intelligent application back stack management may further include regenerating an activity of the selected ones of the activities that is pulled from the further back stack.

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 network component placement architecture addresses the difficult technical challenge of determining where specific technical components of an overall service may be provisioned. The architecture is particularly effective at determining where, among a myriad of possible service provides, platforms, and regions, the technical components can be placed and meet all of the applicable technical constraints on the placement of the technical components. In one implementation, the placement architecture includes a sequence of pipeline stages that define an analysis sequence leading to a set of possible placement options.

Abstract: A device may obtain text to be analyzed to identify glossary terms. The device may analyze a linguistic unit to generate multiple linguistic units related to the linguistic unit. The device may analyze the multiple linguistic units to generate potential glossary terms. The device may perform a glossary term analysis on the potential glossary terms to generate glossary terms that include a subset of the potential glossary terms. The device may identify included terms that are included in the glossary terms. The device may identify excluded terms that are excluded from the glossary terms. The device may determine a semantic relatedness score between at least one excluded term and at least one included term. The device may selectively add the excluded linguistic term to the glossary terms to form a final set of glossary terms based on the semantic relatedness score, and may output the final set of glossary terms.

Abstract: Examples of the disclosure enable a set top box to be installed. In some examples, a remote control device, a computing device, and a set top box are provided. The computing device downloads configuration information for a location and receives input from an installer at the location. The set top box includes a remote control interface that receives commands from the remote control device, a local communications channel that transmits data to the computing device, an emulator that emulates the receipt of the commands by injecting remote control keypresses into the remote control interface to issue the commands, and a diagnostic feature activatable over the local communications channel by the computing device after the computing device receives the input to perform verification tests and to return results of the verification tests to the computing device to confirm to the installer that the set top box has been installed correctly.

Abstract: A process modeling rule validation system includes a graphical user interface module and a rule creation module. The graphical user interface module includes a display and at least one user input mechanism. The graphical user interface module displays information representative of a plurality of rule creation elements via the display and receives user input via the user input mechanism in response thereto. At least one of the rule creation elements can be configured based on the user input and in accordance with best practices in process modeling. The rule creation module, which is operatively connected to the graphical user interface module, generates a process modeling rule in response to at least one of the rule creation elements being configured.

Abstract: A device may obtain information regarding a security situation of a set of computing resources associated with a cloud-based platform. The information may be related to an ongoing security threat or a potential security threat. The information may be obtained utilizing one or more internet security resources. The device may determine a threat assessment level, of a set of threat assessment levels, for the security situation based on the information regarding the security situation. The information regarding the security situation may satisfy a set of threshold criteria for the threat assessment level. The device may perform one or more response actions associated with the threat assessment level based on the security situation. The one or more response actions may include providing an alert notification regarding the security situation that identifies the threat assessment level.

Abstract: A digital collaboration system includes a collaboration application running on client devices and a group device that communicates with a backend content management system (CMS) to provide a collaboration environment. In an initial stage, the collaboration application displays content provided by the CMS for review and generation of user feedback. The CMS utilizes the user feedback to filter the content for a subsequent stage of evaluation of the filtered content. The filtered content may be displayed on a collaboration board generated in a graphic user interface on the group device. Additional feedback on the filtered content is captured through the collaboration board and stored in the CMS for subsequent analysis and reporting.

Abstract: A device may analyze text to identify a set of text portions of interest, and may analyze the text to identify a set of terms included in the set of text portions. The device may perform a similarity analysis to determine a similarity score. The similarity score may be determined between each term, included in the set of terms, and each text portion, included in the set of text portions, or the similarity score may be determined between each term and each other term included in the set of terms. The device may determine a set of dominant terms based on performing the similarity analysis. The set of dominant terms may include at least one term with a higher average degree of similarity than at least one other term. The device may provide information that identifies the set of dominant terms.

Abstract: A device may receive configuration information for an experiment associated with optimizing an application. The configuration information may identify a group of experimental treatments and information identifying a target event. The device may identify an experimental treatment to be implemented in the application, and may implement the experimental treatment in the application. The device may collect response information based on implementing the experimental treatment. The device may detect the target event associated with the experiment, indicating that the response information is to be provided to an experiment server. The device may determine that the experiment server is unreachable and may store the response information. The response information may be stored to allow the response information to be provided to the experiment server at a later time. The response information may be provided to the experiment server to permit the experiment server to determine a result of the experiment.

Abstract: A digital manufacturing system collects data from manufacturing plants, users, applications and business processes associated with a manufacturing enterprise. Anomalies in the collected data are detected and automated actions based on rules such as affecting the operation of the machines or sending messages to responsible parties are executed. The events that occur in response to the automatic actions are logged to a data warehouse for subsequent study and analysis.

Abstract: According to an example, a first signal may be received from a user device. The first signal may include a captured image of an object and geofencing information of the user device that captured the image of the object. The captured image of the object may be analyzed and compared to of images of objects stored in a database. The object is identified by matching the captured image of the object to one of the plurality of images of objects stored in the database. To further verify the identity of the object, a location of the user device is determined from received geofencing information. The location of the user device may be matched to a location associated with the matching one of the plurality of images of the objects. Thus, if the object is identified and the object's location is verified, a second signal including audio and/or visual guidance information is transmitted to the user device for playback.

Abstract: Allocating subscription revenue may involve receiving usage information relating to usage of digital content (e.g., music, movies, text, images, games) in a digital content aggregation, identifying a coefficient relating to a subset of digital works in the digital content aggregation (e.g., author-specific subjective or objective factors, popularity ranking, historical factors, performance factors, etc.), and generating a revenue allocation for the digital content based on the coefficient and the usage information.

Abstract: A method for modular script design includes receiving, at a modular script designer component, script information from a user, generating a list of suggested modules based on the script information, and receiving, at the modular script designer component, a selection of a next module from the user. The selection of the next module includes a selection of the next module from among the list of the suggested modules or a request for a new module. If the selection of the next module includes the request for the new module, the method further includes generating the new module.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing threat intelligence information. One of the methods includes receiving by a threat information server, threat intelligence information from one or more intelligence feeds and generating one or more identified security threats, identifying a compromise by a management process orchestration server and retrieving information from the threat information server and identifying one or more actions to be performed, determining by an indicator analytics processor, a composite credibility based on the actions, and determining one or more components for profiling and determining indicators of compromise for each component, and communicating the indicators of compromise to the management process orchestration server.

Abstract: An interactive virtual care system may include a user sensory module to acquire multi-modal user data related to user movement. A data analysis module may compare the multi-modal user data to predetermined historical user data and/or statistical norm data for users to identify an anomaly in the user movement.

Abstract: Streaming voice signals, such as might be received at a contact center or similar operation, are analyzed to detect the occurrence of one or more unprompted, predetermined utterances. The predetermined utterances preferably constitute a vocabulary of words and/or phrases having particular meaning within the context in which they are uttered. Detection of one or more of the predetermined utterances during a call causes a determination of response-determinative significance of the detected utterance(s). Based on the response-determinative significance of the detected utterance(s), a responsive action may be further determined. Additionally, long term storage of the call corresponding to the detected utterance may also be initiated. Conversely, calls in which no predetermined utterances are detected may be deleted from short term storage.