Abstract: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

Abstract: The present invention is directed to intelligent and near real-time monitoring in a streaming environment. In embodiments, a streaming platform streams raw data from raw data capture devices, where the raw data is contextually enriched using multiple information sources. A rule execution operator, integrated within the streaming platform, detects events by executing rules against the contextually enriched data. The rules applied are customizable, flexible, multivariate, and dynamically responsive to changing information. When an event is detected, an action can be instantiated in response to the event detection and/or newly derived information. The action and/or instructions for performing the action are communicated to external sources, where the action can be initiated and/or completed. Accordingly, actions are instantiated in near real time relative to the initial receipt of raw data from which the events were detected. Actions may be delayed using sophisticated temporal reasoning, in some embodiments.

Abstract: A server computing device, including memory storing a knowledge graph including a plurality of ontology entities connected by a plurality of edges. The server computing device may further include a processor configured to generate a glossary file based on the knowledge graph. The glossary file may include a plurality of ontology entities included in the knowledge graph. The processor may receive a plurality of utterance templates. Each utterance template may include an utterance and a predefined intention. For each utterance template, the processor may generate one or more utterance template copies in which one or more ontology entities included in the utterance are replaced with one or more utterance template fields. The processor may generate a plurality of training utterances at least in part by filling the one or more utterance template fields of the one or more utterance template copies with respective ontology entities included in the glossary file.

Abstract: A method of training a predictive model to predict a likely field value for one or more user selected fields within an application. The method comprises providing a user interface for user selection of the one or more user selected fields within the application; analyzing a pre-existing, user provided data set of objects; training, based on the analysis, the predictive model; determining, for each user selected field based on the analysis, a confidence function for the predictive model that identifies the percentage of cases predicted correctly at different applied confidence levels, the percentage of cases predicted incorrectly at different applied confidence levels, and the percentage of cases in which the prediction model could not provide a prediction at different applied confidence levels; and providing a user interface for user review of the confidence functions for user selection of confidence threshold levels to be used with the predictive model.

Abstract: A system may comprise a processor integrated circuit (IC) and a vector mapping sub-system that is separate from the processor IC and includes one or more ICs. The system may receive input data for processing by a predictive model and generate at least one memory address from the input data. At least one memory address may be provided to the vector mapping sub-system. The vector mapping sub-system generates a resulting vector of numbers based on the at least one memory address. The resulting vector can be a fixed length vector representation of the input data. The resulting vector is provided from the vector mapping sub-system to the processor IC. The processor IC executes one or more instructions for the predictive model using the resulting vector to generate a prediction. A corresponding method also is disclosed.

Abstract: A method of generating a consciousness affect is described. The method includes: (i) receiving, from a client device, a first and a second consciousness inputs, wherein the client device is associated with one or more users and the two consciousness inputs are different from each other; (ii) calculating a consciousness affect for one or more of the users; (iii) storing, in memory of the server and/or the client device, the consciousness affect; and (iv) wherein the first consciousness input includes at least one input chosen from a group comprising emotional state input, reasoned input, location information input, physical awareness input and spiritual insight input, and the second consciousness input is at least one input chosen from a group comprising reasoned input, location information input, physical awareness input and spiritual insight input.

Abstract: The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.

Abstract: An information processing apparatus comprises: a reception unit that receives a pop-up display command of a first object; a determination unit that determines whether a second object whose display order is not secured in a vertical direction with respect to the first object is displayed on a displayed screen; a generation unit that generates, based on image data of the second object, a third object whose display order is secured in the vertical direction with respect to the first object, if the determination unit determines that the second object whose display order is not secured in the vertical direction with respect to the first object is displayed; and a display control unit that sets the second object in a non-display state, and display the first object and the third object.

Abstract: A sentence conversion system includes at least one processor that obtains data including a first type sentence and a second type sentence in association with each other, the second type sentence being a sentence obtained by converting the first type sentence into a second type in a same language, creates at least one converter that converts a sentence type in the same language based on the data and a machine translator that translates a first language into a second language, inputs the first type sentence in the at least one converter, and obtains a sentence converted by the at least one converter into the second type in the same language.

Abstract: Methods and systems for generating a neural network (NN)-based climate forecasting model are disclosed. The methods and systems perform steps of generating a multi-model ensemble of global climate simulation data by combining simulation data from at least two global climate simulation models; pre-processing the multi-model ensemble of global climate simulation data, where the pre-processing comprises at least one action of spatial re-gridding, temporal homogenization, and data augmentation; training the NN-based climate forecasting model on the pre-processed multi-model ensemble of global climate simulation data; and validating the NN-based climate forecasting model using observational historical climate data. Embodiments of the present invention enable accurate climate forecasting without the need to run new dynamical global climate simulations on supercomputers. Also disclosed are benefits of the new methods, and alternative embodiments of implementation.

Abstract: A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus. The computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving data from a plurality of data sources; processing the data from the plurality of data sources, the processing the data from the plurality of data sources identifying a plurality of knowledge elements; and, storing the knowledge elements within the cognitive graph as a collection of knowledge elements, the storing universally representing knowledge obtained from the data, each knowledge element of the collection of knowledge elements being persisted in its original form.

Abstract: A computerized method of populating one or more structured databases includes performing, by a computing device, the steps of: receiving customer message data from one or more data sources; extracting, from the customer message data, data sets representative of a set of customer questions; pre-processing, the data sets representative of the set of customer questions using one or more filters, thereby producing pre-processed data sets representative of customer questions; extracting, from the pre-processed data sets representative of customer questions, a set of customer expression data sets; grouping, the customer expression data sets into a set of clusters, each cluster representing one customer intent data set, each customer intent data set corresponding to one or more customer expression data sets; and storing, the customer intent data sets and the customer expression data sets in the structured database(s), the structured database(s) in electronic communication with the computing device.

Abstract: The disclosed embodiments relate to a computer system that facilitates the providing of an answer to a question. During operation, the computer system receives the question from a user, where the question is related to income taxes. Then, the computer system performs content-dependent processing of the question based on a tax-information data structure to produce the answer to the question. Note that the tax-information data structure includes: tax phrases, context information associated with the tax phrases, tax concepts that encompass multiple tax phrases, and/or statistical association metrics between the tax phrases and the tax concepts. Next, the computer system provides the answer to the user.

Abstract: An image recognition system includes a first computer for detecting a recognition target from image data, and a second computer for identifying the recognition target detected by the first computer. The first computer and the second computer are disposed at positions physically separated from each other. When the first computer sends image data to the second computer, the second computer sends to the first computer a detection parameter group used for detection via a communication path. The detection parameter group is included in a recognition parameter group that is dynamically changed and used for image recognition processing of the image data.

Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for utilizing multiple AI service providers by a dialog management system. The dialog management system can include a dispatcher bot, multiple worker bots, and multiple AI adapters that are each associated with a different cloud-based AI service provider. In response to receiving a query, the dispatcher bot selects a particular worker bot to handle the query. The particular worker bot is assigned to a particular AI service provider. An AI adapter associated with the particular AI service provider, generates a query message based on the query. The AI adapter sends the query message to the particular AI service provider and receives a response message. The dialog management system sends a representation of the response message to the particular worker bot, receives an answer for the query from the particular worker bot, and provides the answer for output.

Abstract: An earbud system and method adaptively acquires and classifies one or more data sets to provide a custom audio listening experience.

Abstract: Systems and methods are provided for improved graphical user interfaces. The system enables multiple separate applications, each of which may typically be in their own separate window or tab, to be interacted within a single window, such as a tab of a web browser application. The main window includes smaller sub-windows that can correspond to a distinct application with its own graphical user interface. A large sub-window within the main window is opened for the primary application where the user is currently interacting with a graphical user interface of the primary application. The user then is able to switch between applications (all within the same main window) and applications that are no longer being used can be minimized in smaller sub-windows off to the side of the primary sub-window. The system enables a user to drag and drop an item from one sub-window to another sub-window. Some of the interactions between the windows and data transformations are stored and can be visually presented in a graph.

Abstract: The disclosed computer-implemented method for detecting suspicious users on networks may include (1) identifying a first cluster of users based on at least one static attribute of the users; (2) identifying a second cluster of users based on both the at least one static attribute of the users and at least one dynamic attribute of the users, where a respective dynamic attribute weight applied to the at least one dynamic attribute when defining the second clusters is based on network monitoring telemetry; (3) comparing the first cluster with the second cluster to identify an outlying user; and (4) designating the outlying user as suspicious.

Abstract: Computer-readable media, computer systems, and computing methods for facilitating generation of entity names for entities are provided. The method includes determining a set of previously submitted queries that are associated with an entity. The most frequently used query within the set of previously submitted queries associated with the entity can be identified and, thereafter, designated as the entity name for the entity. The entity name can distinguish the entity from other entities. Such an entity name can be provided for presentation to a user, for example, as a related search suggestion via a search results page.

Abstract: The present disclosure describes systems and methods for using a model for a predetermined role for simulated phishing campaigns. A campaign controller communicates simulated phishing communications to one or more devices of a user using a model that the campaign controller selects from a plurality of models in a database that have been established for predetermined roles of a company. The model is selected based on one or more attributes of the user that are identified by the campaign controller. The campaign controller identifies one or more attributes of each user of a plurality of users for the simulated phishing campaign, and the campaign controller selects a respective model for each user based on the attributes of each user, wherein the models are not all the same for all of the users.

Abstract: There is provided a method for searching an unstructured dataset with a query, comprising: receiving a query comprising a value for a first token of a triplet, and a value for a relation term defining a relationship between the first token and a second token of the triplet, wherein the second token is defined as a variable element set with an undefined value, creating a plurality of enhanced queries for the query, each one of the plurality of enhanced queries including variations of the relation term, providing the plurality of enhanced queries for search by a search engine on at least one dataset of unstructured text-based data, receiving a plurality of documents in response to the search, analyzing the plurality of documents for extracting at least one value for the variable element of the triplet, and providing the at least one value for the variable element.

Abstract: A system may include various user devices coupled to a cellular network. Each user device may be associated with a respective member of a predetermined population. The system may further include a contact management server coupled to the cellular network. The contact management server may determine a previous contact event of a user device among the user devices. The contact management server may further determine a selection of a first contact type for contacting the user device. The first contact type may be different from a second contact type of the previous contact event. The contact management server may further transmit a command that triggers the contact event of the user device based on the first contact type.

Abstract: Aspects of the present disclosure include a system that automatically defines and assembles a group of users capable of solving a particular problem, such as problems associated with network platforms and infrastructures. The group of users are identified from user data captured while users interact within and throughout a network, such as a social network.

Abstract: A communications system with smart agent robots includes a message interface, a first agent robot, a friend agent robot and a friend message interface. The message interface is used for inputting message data. The first agent robot is connected to the message interface for integrating and transceiving the message data automatically. The friend agent robot is connected to the first agent robot for communicating with the first agent robot. The friend message interface is connected to the friend agent robot for communicating with the first agent robot.

Abstract: This disclosure relates to a system and method for determining responsiveness of a driver of a vehicle to feedback regarding driving behaviors. The system may include a sensor configured to generate output signals conveying first driving behavior information, which may characterize operation of the vehicle by the driver. The system may include one or more processors configured to obtain the first driving behavior information. The one or more processors may effectuate provision of feedback defined by feedback information based on the first driving behavior. The sensor may be configured to output signals conveying second driving behavior information, which may characterize operation of the vehicle by the driver during and/or subsequent to the provision of the feedback. The one or more processors may be configured to obtain the second driving behavior information and assess responsiveness of the driver to the feedback based on the second driving behavior information.

Abstract: Examples of wearable systems and methods can use multiple inputs (e.g., gesture, head pose, eye gaze, voice, and/or environmental factors (e.g., location)) to determine a command that should be executed and objects in the three-dimensional (3D) environment that should be operated on. The multiple inputs can also be used by the wearable system to permit a user to interact with text, such as, e.g., composing, selecting, or editing text.

Abstract: A system, method and program product for recommending a network resource provider to a resource consumer. An interactive recommendation engine for determining a recommendation of a network resource provider is provide and includes: a requirements collection manager that collects a set of requirements for an organization and includes: a query management system that provides an interactive platform for implementing a natural language dialog with a user; and a semantic analysis system that analyzes inputs from the user to identify requirements and formulate outputs to the user; a provider data curation manager that curates structured and unstructured provider information into a provider knowledgebase; and a decision analytics system that analyzes the set of requirements and provider knowledgebase to identify a recommended resource provider.

Abstract: One or more embodiments of techniques or systems for intelligent data presentation are provided herein. Data can be presented on similar devices having different characteristics in different manners. For example, data may be rendered in a first manner on a first device having one monitor, the same data may be rendered in a second manner on a second device having two displays or a different display size. Financial information, sales data, banking information, etc. may be presented in a variety of ways based on capabilities or properties of a device accessing the information or data. Similarly, renderings may be selected based on interaction capabilities or interaction options a user may have with different renderings or presentations. In other embodiments, user interaction with an automated teller machine (ATM), call center, vehicle, or other interface can be based on device properties or device capabilities.

Abstract: A computer-implemented method for generating an assessment of traumatic brain injury (TBI) includes a TBI assessment computer receiving structural imaging data acquired by performing a structural imaging scan on an individual and generating a structural imaging score based on the structural imaging data. The TBI assessment computer receives functional imaging data acquired by performing a functional imaging scan on the individual and generates a functional imaging score based on the functional imaging data. The TBI assessment computer also receives diffusion imaging data acquired by performing a diffusion imaging scan on the individual and generates a diffusion imaging score based on the diffusion imaging data. Based on the structural imaging score, the functional imaging score, and the diffusion imaging score, the TBI assessment computer generates a TBI assessment score.

Abstract: A computer analytic system for allocating resources of an electronic tax return preparation system, the system includes an information module configured to collect taxpayer data of a user, the taxpayer data including an indicator of an increased likelihood that the user will abandon the electronic tax return preparation program. The system also includes a memory module configured to store the collected taxpayer data. The system further includes a retention module configured to analyze the collected taxpayer data and generate a resource allocation recommendation based on the collected taxpayer data.

Abstract: A driver state determination device includes a facial change information acquisition unit acquiring facial change information indicating a time-series change in facial data of a subject, and a driver state determination unit determining the driver state of the subject based on the facial change information. The subject is selected from the group consisting of a subject driving a machine from when brain function activation information that activates human brain function is provided, a subject driving a machine from when the brain function activation information provided to the subject driving the machine is detected, and a subject performing a predetermined operation on a machine.

Abstract: A method is provided for determining a website user behavioral portrait based on navigation on the website and dynamically reconfiguring web pages based on those portraits. In accordance with the method, data relating to the progress of a user through a website is recorded, and an ongoing behavioral portrait of the user is built based on the data. The portrait is then used to dynamically reconfigure web content.

Abstract: A cognitive information processing system environment comprising a plurality of data sources; a cognitive inference and learning system coupled to receive data from the plurality of data sources, the cognitive inference and learning system processing the data from the plurality of data sources to perform a cognitive learning operation, the cognitive learning operation applying a cognitive learning technique to generate a cognitive learning result; and, a destination, the destination being updated based upon the learning result.

Abstract: Taught is a search engine for science tools which dynamically evaluates search rank of said science tools through Natural Language Processing and machine learning. The search engine accepts into a corpus of public and private materials, which references individual science tools. Each item of the corpus is evaluated both as to how much that given item should be trusted, and what that item says about individual science tools. Each science tool is evaluated based on what the whole corpus of input data contains concerning those science tools, taking into account how valuable the source of the data is in order to render an overall score and search rank. The search engine generates a judgement of each individual science tool, which is dynamically updated as new information becomes available in the corpus of input data.

Abstract: A method to associate a set of first entities to a set of second entities, e.g., computing jobs to processors, agent teams to workspace resources within a physical location, or the like. The NG is seeded using a force directed graph (FDG), whose “seed” particles represents the agents and their relative interconnectedness. The FDG is first brought into an equilibrium state to define a solution space. A relative coordinate system of the FDG solution space is then translated to a number of vertices represented in the NG, and then an initial seeding of the seed particles in the NG (based on their relative positions in the FDG solution space) is carried out. A search is then performed. During the search, each seed vertex releases its embedded agents to adjacent vertices to enable the agents to search for and achieve a required count.

Abstract: An apparatus includes a processing resource configured to receive a feature vector of a data stream. The feature vector includes a set of feature values. The processing resource is further configured to calculate a set of feature labels based at least in part on the set of feature values to generate a label vector, provide the label vector to another processing resource, and to receive a plurality of classifications corresponding to each feature label of the label vector from the other processing resource. The plurality of classifications are generated based at least in part on a respective range of feature values of the set of feature values. The processing resource is configured to then combine the plurality of classifications to generate a final classification of the data stream.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: The present disclosure relates to systems, methods, and devices for providing personal assistant service via messaging. In particular, one or more embodiments receive a request for personal assistant service in an electronic message from a user, assign the request to an agent, determine an intent of the request, and configure an agent user interface to include one or more options in accordance with the determined intent of the request.

Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

Abstract: A method for providing a bot builder user interface by a bot builder user interface providing apparatus includes providing a developer device with a bot builder user interface (UI) for producing a chatbot; if at least one sentence is input from the developer device, providing multiple parameters including attribute information regarding respective words included in the at least one sentence; and receiving, from the developer device, grouping information regarding two or more parameters selected from the multiple parameters, wherein the chatbot produced by the developer device is accessible by a user device connecting with a chatbot service server, and if at least one of the two or more grouped parameters is extracted from a sentence of a chat message input by the user device, the chatbot executes a predetermined instruction with reference to the extracted parameter.

Abstract: Particular embodiments detect events associated with information about events and activities that a user has engaged in. The events may be of a particular type. An entity associated with an event may request that the user provide further information on the event and, based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the type or context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.

Abstract: An information processing system includes a storing unit that stores evaluation data in which a plurality of subjects are associated with a plurality of evaluation expressions respectively and evaluation expression relationship data indicating relationships between the evaluation expressions, a question generating unit that generates and outputs questions on the basis of the evaluation data and the evaluation expression relationship data, and a matching unit that outputs information relating to the subject included in the evaluation data on the basis of responses when the responses with respect to the questions are input.

Abstract: Various examples are directed to systems and methods for generating a user interface. The user interface may be based at least in part on an account returns data structure that is generated based on a benchmark returns for a set of benchmark asset classes and on returns for a first account. The user interface comprises a set of columns. A first column comprises a first tile for a first benchmark asset class of the plurality of benchmark asset classes, a second tile corresponding to a second benchmark asset class of the plurality of benchmark asset classes, and a third tile corresponding to the first account. The first tile, the second tile, and the third tile may be ordered in the first column based at least in part on returns for the first account, the first benchmark asset class, and the second benchmark asset class in the first time period.

Abstract: Provided are an interactive question answering apparatus and method, which improve an unnatural question sentence and prevent the impossibility of a question in a state which does not know additional information, thereby providing a multimodal-based question answering method enabling a person to provide a question like conversing. Also, a question answering service is exposed to potential product purchasers of content such as an image, video, audio, etc., thereby providing an environment available to advertisement market.

Abstract: Methods and systems for operating a process plant include multiple user interface (UI) devices, each accessing a plurality of applications on a server, and operable to store device state on the server and receive device state from the server. The server is coupled to a unitary, logical data storage area and provides functions related to the process data stored in the data storage areas via one or more user interfaces. A first UI device coupled to the server accesses the process data and maintains on the server state information indicative of a state of the user interface executing on the first UI device. A second UI device coupled to the server accesses the process data and the state information to execute a user interface on the second UI device in accordance with the state information indicative of the state of the user interface executing on the first UI device.

Abstract: The flexibility of a communication with a chatbot can be increased using a chatbot platform that can be integrated with a plurality of chat channels as well as facilitate communication between users of different chat channels. The platform can host chatbots that can leverage a plurality of resources, including internal and external natural language processors, machine learning, analytics services, and third party services to generate a response to user communications and take actions on behalf of the user. The use of the natural language processing and other additional information allows to generate an appropriate response to user queries, and to thus increase the speed with which user concerns are address. Further, the platform includes a chatbot creation program that allows a quick way to create a large number of customized chatbots without requiring advanced programming skills from the chatbot creator.

Abstract: Methods, systems, and media for providing a media search engine are provided.

Abstract: Approaches are provided for tracking and measuring the influence of social networking members on groups of friends to engage in electronic commerce. An approach includes receiving unique identifier information and activity information for a user that referred a social media link to one or more other users. The approach further includes generating a reference identifier for the referrer of the social media link to the one or more other users. The approach further includes embedding the generated reference identifier into the social media link. The generated reference identifier includes a concatenation of the unique identifier information, the activity information, and information pertaining to referrals of the social media link prior to the referrer to the one or more other users.

Abstract: A weather forecasting system has a data processing system that receives weather data from one or more sources and processes such data in conjunction with a weather forecasting algorithm in order to forecast weather for one or more geographic regions. In this regard, the weather data is input into a machine learning algorithm, which applies learned weights and relationships to the inputs in order to calculate at least one score indicating a probability that precipitation or other weather event will occur in the future within a certain time period (e.g., within the next 1 hour or some other unit of time) in one or more geographic regions. For each such geographic region, the weather forecasting logic may also predict the extent to which rain or other precipitation, lightning, or other weather event will occur during the time period.

Abstract: A method for authorizing an electronic device to perform an action includes detecting interaction data from an interaction between a hardware sensor and an identity-augmented tangible object; wherein data of the first set of interaction data is intrinsically dependent on physical characteristics of the identity-augmented tangible device; computing parametric descriptors from the interaction data; transmitting the parametric descriptors and supplementary data to a remote database system; generating, on the remote database system, identity data from a comparison of parametric descriptors with a known set of parametric descriptors; and authorizing, in response to both of the identity data and the supplementary data, the electronic device to perform a first action.