Abstract: A method includes determining a set of identigens for each word of at least some words of a string of words of a query to produce a plurality of sets of identigens. The method further includes interpreting, based on a first knowledge database, the plurality of sets of identigens to produce a first entigen group and generating a first preliminary query response based on the first entigen group. The method further includes interpreting, based on a second knowledge database, the plurality of sets of identigens to produce a second entigen group and generating a second preliminary query response based on the second entigen group. The method further includes comparing the first and second preliminary query responses and when the first preliminary query response and the second preliminary query response are divergent, resolving inconsistencies between the first and second preliminary query responses to produce a final query response.

Abstract: A method comprises storing data objects in a non-graph data repository, each data object including a data source record; storing metadata of the data source records in a graph data repository, comprising transforming a reference in a first data object, which links the first data object to a second data object in the non-graph data repository, into a link node having a first edge connected to a first node representing the first data object and having a second edge connected to a second node representing the second data object, in the graph data repository; receiving a query for a shortest path between two specified nodes; executing the query on the graph data repository to obtain a result set; transforming the result set into a set of data objects in the non-graph data repository; providing the set of data objects, including the corresponding data source records, in response to the query.

Abstract: Systems and methods for collecting and processing memory-related data and synthesizing memory-based narratives that includes collecting memory input data from one or more users, constructing a memory graph comprising a hierarchical data structure including one or more graphical nodes for storing the memory input data, assimilating the memory graph into a semantic collage of distinct memory graphs, generating a mnemonic narrative artifact comprising memory input data from related memory graphs, and surfacing the mnemonic narrative artifact via a user interface to one or more users.

Abstract: Systems and methods are described to generate for presentation recommended social media posts for a user. The recommended social media posts may be generated based on one or more identified content categories of a first social media post by a first user and one or more parsed social media posts by one or more other users, where the one or more social media posts are associated with the first social media post. In response to determining that selection of the recommended social media post has been received, a second social media post associated with the first social media post may be generated, where the second social media post corresponds to the recommended social media.

Abstract: System, methods, and apparatuses for an artificial intelligence (AI) toy with improved conversational dialogue and personality development. The AI toy determines responses to stimuli based on user profiles and personality profiles that are developed through user interaction and external media inputs. Natural Language Processing (NLP) and other semantic interaction processing is paired with the profiles to develop AI personality and conversational ability.

Abstract: Providing access control to distributed resources, including storing, at a computing dock coupled to an information handling system, a local access database indicating verified credentials of one or more users; receiving, at the computing dock, a request for access to a resource coupled to the computing dock; providing, in response to the request for access, an authentication request to an authentication system; in response to the authentication request, providing, by the computing dock, an authentication challenge to the information handling system; receiving, at the computing dock and in response to the authentication challenge, user credentials at the authentication system; verifying, at the authentication system, the user credentials against the local access database; providing, based on the verified user credentials, an authorization token to the first device; and allocating, based on the authorization token, access to the resource to the information handling system.

Abstract: System, methods, and apparatuses for an artificial intelligence (AI) toy with improved conversational dialogue and personality development. The AI toy determines responses to stimuli based on user profiles and personality profiles that are developed through user interaction and external media inputs. Natural Language Processing (NLP) and other semantic interaction processing is paired with the profiles to develop AI personality and conversational ability.

Abstract: Various implementations of the present disclosure relate to text to visualization. In a method, information items are extracted from a natural language sentence. Visual elements associated with the information items are determined. A visual representation of the natural language sentence based on the visual elements is determined, the visual representation indicating information expressed by the natural language sentence.

Abstract: An access control apparatus includes a sensor and an authentication circuit coupled to the sensor. The sensor detects eye movement of a user. The authentication circuit stores predetermined access code data corresponding to the user. The authentication circuit compares the detected eye movement of the user to the predetermined access code data. Based on the comparison indicating that the detected eye movement matches the predetermined access code data, the authentication circuit permits access beyond an access control point.

Abstract: Embodiments are disclosed herein for remote retrieval of information from endpoints and comprise receiving a master query at an endpoint in a network environment and executing a set of one or more subqueries defined in the master query. Embodiments also comprise an execution of a first subquery that includes executing a function to produce a first output, applying one or more conditions to the first output to determine a second output, and determining a result of the master query based, at least in part, on the second output. In specific embodiments, the master query is received from another node over a network connection. In more specific embodiments, the function is executed on the endpoint to collect real-time information based on one or more parameters. In further embodiments, the function is one of a plug-in or a script.

Abstract: Embodiments are directed towards a system and method for a cloud-based front end that may abstract and enable access to the underlying cloud-hosted elements and objects that may be part of a multi-tenant application, such as a search application. Search objects may be employed to access indexed objects. An amount of indexed data accessible to a user may be based on an index storage limit selected by the user, such that data that exceeds the index storage limit may continue to be indexed. Also, one or more projects can be elastically scaled for a user to provide resources that may meet the specific needs of each project.

Abstract: To easily find columns containing information to be shared between databases found when the databases (DBs) are combined.

Abstract: From an unstructured content using an ontology, a forward materialization graph is generated. The forward materialization graph is converted to a set of vector representations comprising multidimensional numbers representing elements of the forward materialization graph. A set of inference paths is computed for the set of vector representations. An inference path in the set of inference paths connecting a first vector representation with a second vector representation. Based on a set of features, the set of vector representations is formed into clusters, a feature in the set of features comprising a relevance probability, the relevance probability corresponding to a relevance of a portion of the unstructured content according to a relevance metric. A structured representation of the unstructured content is placed at an edge location of a content delivery network determined using the set of clusters.

Abstract: An information management apparatus may include a storage device that separately stores ontology information of an intelligent robot that provides a service and includes a plurality of repositories each having meta information. A storage management device sorts and stores ontology information of the intelligent robot in the plurality of repositories based on a prefix of the ontology information of the intelligent robot and the meta information.

Abstract: System, methods, and apparatuses for an artificial intelligence (AI) toy with improved conversational dialogue and personality development. The AI toy determines responses to stimuli based on user profiles and personality profiles that are developed through user interaction and external media inputs. Natural Language Processing (NLP) and other semantic interaction processing is paired with the profiles to develop AI personality and conversational ability.

Abstract: A system drills back to an original audio clip in lists and reminders initiated by a virtual assistant. The system may receive audio input comprising a first request. Based on the first request, the system may schedule an action to be performed by the virtual assistant platform. The system stores at least a portion of the audio input and a mapping between the action and at least the portion of the audio input. The system performs the action. Subsequent to performing the action, the system receives a second request for audio playback of the first request corresponding to the action. The system retrieves at least the portion of the audio input based on the mapping between the action and at least the portion of the audio input, and plays at least the portion of the audio input comprising the first request.

Abstract: Providing access control to distributed resources, including storing, at a computing dock coupled to an information handling system, a local access database indicating verified credentials of one or more users; receiving, at the computing dock, a request for access to a resource coupled to the computing dock; providing, in response to the request for access, an authentication request to an authentication system; in response to the authentication request, providing, by the computing dock, an authentication challenge to the information handling system; receiving, at the computing dock and in response to the authentication challenge, user credentials at the authentication system; verifying, at the authentication system, the user credentials against the local access database; providing, based on the verified user credentials, an authorization token to the first device; and allocating, based on the authorization token, access to the resource to the information handling system.

Abstract: The present disclosure provides systems and methods for user interaction and task completion using multiple devices. A set of devices may be used to perform a task, such that different devices may perform different steps of the task. A device management service may update state information at each device of the set, thereby enabling a user to interact with any of the computing devices to perform the task. A device management service may also automatically determine which device should be used by the user, based on task or step requirements, device characteristics, and device capabilities, among other examples. Thus, rather than being required to continue a task on the same device (even when the device is not well-suited for the current step or task), the user is provided with the option to use and, in some instances, is automatically transitioned to use, different devices within the set.

Abstract: Provided is a method of designing a heat exchanger group being installed in a processing plant and having multiple ACHEs. In a first step, at least one design variable relating to ACHE design and the number of installed ACHEs are set as variable parameters, and a variable range and a change unit of each of the variable parameters are set. In a second step, a design value of the ACHE, which includes a value of a design variable non-selected as the variable parameter, is set. In a third step, Pareto solutions for at least two objective functions selected from an objective function group consisting of an installation length of the heat exchanger group, a total heat transfer area of heat transfer tubes, and total power consumption of fans are calculated by using a computer while the variable parameter are changed.

Abstract: A method (100) for generating a domain-specific training set, comprising: generating (130) a generic corpus comprising a plurality of tokenized documents, comprising: (i) parsing (132) a document retrieved from the generic corpus; (ii) preprocessing (134) the parsed document; (iii) tokenizing (136) the preprocessed document; and (iv) storing (138) the tokenized document in the generic corpus; generating (140) an ontology database of tokenized entries, comprising: (i) parsing (142) an ontology entry retrieved from an ontology; (ii) preprocessing (144) the parsed entry; (iii) tokenizing (146) the preprocessed entry; and (iv) storing (148) the tokenized entry in the ontology database; querying (150), using domain-specific tokenized entries from the ontology database, the tokenized documents in the generic corpus; identifying (160), based on the query, a plurality of tokenized documents specific to the domain; and storing (170), in a training set database, the identified tokenized documents as a training set spec

Abstract: The present disclosure generally relates to systems and methods for efficiently and dynamically integrating a chatbot into an application service. More specifically, the present disclosure relates to systems and methods that dynamically build custom components that enable the chatbot to communicate and facilitate the use of the application service directly from the chatbot application. Accordingly, the systems and methods described herein provide the benefit of integrating the chatbot application into an application service without having the application developer write code for the integration, thereby enhancing the computational efficiency of the integration and the reliability of the application service when new services or service functionality are added or modified.

Abstract: Provided is a method of designing a heat exchanger group being installed in a processing plant and having multiple ACHEs. In a first step, at least one design variable relating to ACHE design and the number of installed ACHEs are set as variable parameters, and a variable range and a change unit of each of the variable parameters are set. In a second step, a design value of the ACHE, which includes a value of a design variable non-selected as the variable parameter, is set. In a third step, Pareto solutions for at least two objective functions selected from an objective function group consisting of an installation length of the heat exchanger group, a total heat transfer area of heat transfer tubes, and total power consumption of fans are calculated by using a computer while the variable parameter are changed.

Abstract: Systems and methods are provided for deriving, based on a service for which an entity is to be selected or provisioned, a query to determine, from candidate nodes, one or more node instances within a topology that fulfill one or more criteria provided by one or more classes; and an additional criterion. The candidate nodes represent respective entities. The evaluation of the query includes determining the classes that satisfy or fulfill the one or more criteria, determining one or more second classes that match, or inherit from, the one or more classes, partially evaluating the additional criterion within respective contexts of the candidate nodes and each of the one or more second classes, based on the partial evaluation, processing the query to determine the node instances, and provisioning or presenting an entity represented by a node instance of the node instances to the service.

Abstract: A method and corresponding apparatus and computer-readable storage medium are provided for causing one or more robots to execute a mission. The method includes identifying the mission including a nominal sequence of selected tasks that are executable to cause the one or more robots to execute maneuvers to achieve a mission objective. The method includes determining a task graph in which the mission is modeled. The task graph is expressed as a directed graph and includes selected task nodes representing the selected tasks that are connected by edges representing transitions between the selected tasks. The method also includes causing the one or more robots to execute the mission using the task graph and a task library of tasks including a selected task executable to cause the one or more robots to execute a maneuver.

Abstract: A system for determining context and intent in a conversation using machine learning (ML) based artificial intelligence (AI) in omni channel data communications is disclosed. The system may comprise a data store to store and manage data within a network, a server to facilitate operations using information from the one or more data stores, and a ML-based AI subsystem to communicate with the server and the data store in the network. The ML-based AI subsystem may comprise a data access interface to receive data associated with a conversation with a user via a communication channel. The ML-based AI subsystem may comprise a processor to provide a proactive, adaptive, and intelligent conversation by applying hierarchical multi-intent data labeling framework, training at least one model with training data, and generating and deploying a production-ready model based on the trained and retained at least one model.

Abstract: Vectorization and scalarization of methods are provided. A plurality of node webs is constructed based on traversing an intermediate representation of a program. Transitive closure of the plurality of node webs is performed to form a set of final node webs. It is determined that each respective node in the set of final node webs can be converted into one of vector operation code or a sequence of scalar operation codes based on at least one node including a specified vector length and only one vector length value being specified within the set of final node webs. Each respective node in the set of final node webs is converted into one of corresponding vector operation code or a corresponding sequence of scalar operation codes to accelerate execution of supported and unsupported methods of the program.

Abstract: Methods and systems for organizing medical data. For example, a computer-implemented method includes receiving first data of a first data category, the first data having a first data format; extracting a first plurality of attributes from the first data using a first extractor; mapping the first plurality of attributes to an unified data format using a first mapper; receiving second data of a second data category, the second data having a second data format; extracting a second plurality of attributes from the second data using a second extractor; mapping the second plurality of attributes to the unified data format using a second mapper; and building an ontology for a use case by at least linking the first plurality of attributes and the second plurality of attributes.

Abstract: A system for analyzing graph databases using intelligent reasoning systems including scalable collection of, and transformation of, graph data into facts suitable for use with programming logic languages doing deductive reasoning. A graph analyzer ingests disparate graph data from across the Internet and transforms the graph data into a fact table. In order to reduce latency and processing congestion, a stream processing engine and sharding strategy are employed to ensure scalability through parallelized processing of programming logic queries. Transformed graph data, now relational data, is utilized with programming logic languages that allow for hypothetical queries whereby an inference engine can deduce new information to satisfy such a query. Furthermore, the self-contained nature of inputs, outputs, and transformations of the system means strict data provenance can be observed and adhered to.

Abstract: In one embodiment, a method includes receiving a query from a user from a client system associated with the user, determining one or more initial memory slots based on the query, accessing a memory graph associated with the user which comprises a plurality of nodes and a plurality of edges connecting the nodes, and wherein one or more of the nodes correspond to one or more episodic memories of the user, respectively, and wherein each edge corresponds to a relationship between the connected nodes, selecting one or more candidate nodes from the memory graph by one or more machine-learning models based on the initial memory slots, generating a response based on the initial memory slots and episodic memories corresponding to the selected candidate nodes, and sending instructions for presenting the response to the client system in response to the query.

Abstract: Embodiments of a system for determining a data gravity index score and implementing pervasive data center architecture is disclosed. In some embodiments, the system can calculate a data gravity index score based on the amount of data stored in a given location, an amount of data in motion in the given location, a bandwidth index associated with the given location, and a latency index associated with the given location. Based on data gravity index scores, in some embodiments, the system can localize traffic to improve network performance, improve security operations, and generate software-defined-network overlay.

Abstract: The present disclosure generally relates to systems and methods for efficiently and dynamically integrating a chatbot into an application service. More specifically, the present disclosure relates to systems and methods that dynamically build custom components that enable the chatbot to communicate and facilitate the use of the application service directly from the chatbot application. Accordingly, the systems and methods described herein provide the benefit of integrating the chatbot application into an application service without having the application developer write code for the integration, thereby enhancing the computational efficiency of the integration and the reliability of the application service when new services or service functionality are added or modified.

Abstract: Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Abstract: A learning system includes a non-transitory memory, and one or more hardware processors configured or programmed to read instructions from the non-transitory memory to cause the learning system to perform operations including generating a user knowledge mesh including generating topic nodes each corresponding to a topic included in the user knowledge mesh, and generating concept nodes each corresponding to a key learnable concept, wherein each of the topic nodes is connected to another one of the topic nodes, each of the concept nodes is connected to one of the topic nodes, and each of the key learnable concepts includes one or more interactions related to the key learnable concept.

Abstract: An activity planning system comprises a knowledge base, a query processor, and a temporal reasoner. A query including temporal constraints is input into the query processor. The query processor converts the query into a formal representation. The formal representation is a formal graphical semantic representation grounded on an ontology defined in the knowledge base. The temporal reasoner processes the query representation output by the query processor against the knowledge base which defines a set of object. For each object, the temporal reasoner produces a normalized score from 0 to 1 to indicate the degree of how likely the object satisfies the temporal constraints imposed by the query.

Abstract: Domain specific knowledge base (KB) contains all concepts from domain and the semantic relations between concepts. The concepts and the semantic relations are extracted from an existing corpus of content for the domain. The World Wide Web Consortium (W3C) standard SKOS (Simple Knowledge Organization System) can be used and two types of semantic relations can be captured: hierarchal and associative. A Natural Language Processing (NLP) software engine can parse the input text to create a semantic knowledge graph, which is then mapped to a SKOS knowledge model. During the linguistic understanding of the text, relevant domain concepts are identified and connected by semantic links. Concepts automatically identified as most important in this domain can be promoted to another layer, referred to as “Topics.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining textual based message data of a messaging system; processing the textual based message data to determine one or more sentiment parameter associated to the textual based message data; and outputting an alert based on a result of the processing.

Abstract: According to one embodiment, a computer program product for identifying key words within a plurality of documents comprises a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, and where the program instructions are executable by a processor to cause the processor to perform a method comprising identifying, by the processor, a first group of textual data, determining, by the processor, a plurality of word combinations within the first group of textual data, and determining, by the processor, a first plurality of key words for the first group of textual data, utilizing the plurality of word combinations.

Abstract: A computer-implemented method according to one embodiment includes identifying a first group of textual data, determining a plurality of word combinations within the first group of textual data, and determining a first plurality of key words for the first group of textual data, utilizing the plurality of word combinations.

Abstract: An autonomous vehicle utilizing machine learning method, system, and computer program product include training, by a computing device, a driver attention model utilizing historical ambient sensor data and historical physiological sensor data associated with an autonomous vehicle, receiving ambient sensor data associated with a currently driving autonomous vehicle, receiving physiological sensor data associated with a driver of the currently driving autonomous vehicle, and using, by a computing device, the trained driver attention model in conjunction with the ambient sensor data and the physiological sensor data to generate an alert for a driver of the currently driving autonomous vehicle.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to facilitate implementation of an interface, and, more specifically, to a computing and data storage platform that implements specialized logic to predict an action based on content in electronic messages, at least one action being a responsive electronic message. In some examples, a method may include receiving data representing an electronic message with an electronic messaging account, identifying one or more component characteristics associated with one or more components of the electronic message, characterizing the electronic message based on the one or more component characteristics to classify the electronic message for a response as a classified message, causing a computing device to perform an action to facilitate the response to the classified message, and the like.

Abstract: A file protecting method having following steps is provided: intercepting a data section in a module file, encrypting the data section according to a dynamic password; integrating other data sections that are not intercepted in the module file to update the module file, and storing the updated module file, the encrypted data section and the dynamic password. A corresponding data processing system is also provided.

Abstract: A method of facilitating construction of a user interface for policing input of user-defined data to a database. An ontology expressed in a first-order logic language is obtained, the ontology describing one or more predefined classes, a plurality of predefined properties and at least one predefined restriction. Data useable to identify a first class is received, and in response, an intermediate data structure is generated for the first class, the intermediate data structure configured to facilitate construction of a user interface for policing input of user-defined data to the database. Generating the intermediate data structure comprises identifying a property from the ontology that is applicable to the first class, determining a property restriction function indicating whether the at least one restriction is applicable to the property, and associating the at least one restriction with the property in the intermediate data structure.

Abstract: At least one unique collection of storage artifacts can be specified to indicate that the storage artifact is a member of the unique collection. Each storage artifact can be a discrete object comprising digitally encoded content that is stored as a node within a tree structure of a tangible storage medium. The collection can be referenced by a set of different storage artifacts to form a collection of related storage artifacts. Each storage artifact can correspond to different collections, wherein membership within a collection is independent of a storage path within the tree structure. A file management action relating to the storage artifact can be performed. The file management action can be dependent upon the storage artifact being a member of the unique collection.

Abstract: The present technology pertains to an organization directory hosted by a synchronized content management system. The corporate directory can provide access to user accounts for all members of the organization to all content items in the organization directory on the respective file systems of the members' client devices. Members can reach any content item at the same path as other members relative to the organization directory root on their respective client device. In some embodiments novel access permissions are granted to maintain path consistency.

Abstract: The vocabulary of pertinent terms used to highlight/filter medical records in a text annotation system is continually updated based on user feedback. To maximize the effectiveness of this updating, feedback is extracted from all users of the system, thereby providing a ‘group-sourced’ vocabulary of pertinent terms. As each user modifies the provided vocabulary of pertinent terms to customize the text annotation system to conform to the user's preferences, the modifications are collected and communicated to the provider of the vocabulary of pertinent terms. The provider of the vocabulary of pertinent terms assimilates the modifications implemented by each user of the word annotation system to determine whether to modify the vocabulary of pertinent terms for subsequent users of the common vocabulary of pertinent terms.

Abstract: Embodiments of the invention include methods, systems, and computer program products for generating a medical problem list. A non-limiting example of the method includes receiving, by a processor, a plurality of disease categories. A disease category set that includes a plurality of top level disease categories is defined using the processor, wherein the disease category set is based at least in part upon the plurality of disease categories. The processor is used to extract a plurality of candidate training problems from an electronic patient record training set. The processor is used to assign each of the candidate training problems to the plurality of top level disease categories. The processor is used to generate a disease category model for each of the top level disease categories from the electronic patient record training set using a machine learning technique.

Abstract: Dynamic key cryptography validates mobile device users to cloud services by uniquely identifying the user's electronic device using a very wide range of hardware, firmware, and software minutiae, user secrets, and user biometric values found in or collected by the device. Processes for uniquely identifying and validating the device include: selecting a subset of minutia from a plurality of minutia types; computing a challenge from which the user device can form a response based on the selected combination of minutia; computing a set of pre-processed responses that covers a range of all actual responses possible to be received from the device if the combination of the particular device with the device's collected actual values of minutia is valid; receiving an actual response to the challenge from the device; determining whether the actual response matches any of the pre-processed responses; and providing validation, enabling authentication, data protection, and digital signatures.

Abstract: Embodiments of the present invention include generating a facet tree based on words found in one or more documents, the facet tree being a tree data structure that defines hierarchical relationships between a plurality of words. The method may further include calculating a degree of similarity between a first word and a second word based on similarity of usage of the first word and the second word in the one or more documents, and generate a facet tree based on the degree of similarity. The method may further include, for each of one or more candidate words in the one or more documents, calculating a degree of correlation between a co-occurrence of two or more existing facet tree entries in a document and an occurrence of the candidate word in the document, and updating the facet tree on the basis of the one or more degrees of correlation.

Abstract: Observable data points are collected and organized into a link-oriented data set including nodes and links. Information is abstracted for use in link analysis by generating links between the collected data points, including deriving links and inducing links. A link can be induced by linking together a pair of nodes that satisfy a distance function. Exemplary distance functions that can be used to induce links include geospatial proximity, attribute nearness, and name similarity. Paths can be identified between selected nodes of interest through a dataset operation, and nodes and/or links can be selectively included or excluded from the data set operation. The dataset can be augmented with pedigree information or one or more association nodes. Link information, including a trajectory and a connected path that selectively produces or excludes one or more intermediate nodes, can be displayed and/or produced in a specified format.

Abstract: A method for automatic generation of integration tests from unit tests includes automatically running, by a processor, a unit test for each model of a plurality of models making-up a system. The method also includes automatically determining, by the processor, integration of unit test cases of interfacing models for one or more groups of interfacing models of the plurality of models. The method additionally includes automatically running, by the processor, an integration test for each group of interfacing models using the unit tests for each model of the interfacing models. The method further includes automatically detecting, by the processor, at least one of inconsistent, incomplete or incorrect data transmitted between the interfacing models for each group of interfacing models.