Abstract: A computer-implemented method that effectively replaces ‘programming code’ in conveying application or solution logic to the computer using a natural language-based design. Without taking any reference to alien symbols or keywords, NSL uses standard and familiar natural-language-like constructs (any natural language, not just English) using a computer-implemented method to technically convey complex operating, application, and solution logic to the machine agents (computers) in a user-friendly way. Using the same computer-implemented methodologies, it has the power to translate or reverse engineer all existing programming code into NSL. Fundamentally, NSL requires no ‘programming code’ expertise. Users can quickly and easily convey the logic directly to the computer or recruit available solution components with ease.

Abstract: A computer-implemented method that effectively replaces ‘programming code’ in conveying application or solution logic to the computer using a natural language-based design. Without taking any reference to alien symbols or keywords, NSL uses standard and familiar natural-language-like constructs (any natural language, not just English) using a computer-implemented method to technically convey complex operating, application, and solution logic to the machine agents (computers) in a user-friendly way. Using the same computer-implemented methodologies, it has the power to translate or reverse engineer all existing programming code into NSL. Fundamentally, NSL requires no ‘programming code’ expertise. Users can quickly and easily convey the logic directly to the computer or recruit available solution components with ease.

Abstract: An intelligent television system provides an operating system and an application framework for controlling a user interface to handle user input events from a handheld remote control. The remote control includes color keys that are configured for triggering different functions in different application panels displayed on the television.

Abstract: A change in the emotional state of a user of a device is detected, and in response to this change a reason for the change in user emotional state is determined. This determination is made based on both the current user emotional state and context data for the device or user. The device then adapts to the user based on the current emotional state and the reason for the change in user emotional state. This adaptation of the computing device refers to an alteration of the operation of the computing device with a goal of increasing the likelihood of the user being in a good emotional state (e.g., happy, relaxed) and reducing the likelihood of the user being in a bad emotional state (e.g., sad, angry).

Abstract: A system includes a processor to: receive a description of a current decision that includes selecting an option; repeatedly display the description; for each option, receive an indication of selection of scale text specifying a degree of intensity or intensity for achieving or avoiding a possible outcome of the option, and derive an overall motivation based on the at least one selection; identify a best option based on the overall motivations; display the best option; compare the overall motivation of the best option to a threshold; in response to being less than the threshold, display a warning and a prompt for the operator to further consider the current decision; compare the overall motivation of the best option to the others; and in response to not exceeding all other overall motivations, by at least a threshold of difference, present a proximity warning and the prompt.

Abstract: A non-transitory computer-readable recording medium storing a training data generation program for causing a computer to execute processing including: identifying, from among meta-analysis literatures stored in a memory, a plurality of meta-analysis literatures in which a first literature is cited; determining a degree of similarity between the plurality of identified meta-analysis literatures based on feature information of the plurality of identified meta-analysis literatures; and in response to the degree of similarity being equal to or higher than a threshold, generating training data for machine learning including the first literature.

Abstract: A method/system for managing experimental data, a computer readable storage medium, and a device are provided. The method includes: recording the managing experimental data, and preprocessing the experimental data, to obtain at least two preprocessed experimental arrays; selecting one element from each of two selected preprocessed experimental arrays according to an analysis requirement, and combining the elements to form a cyclic experimental database, the cyclic experimental database including several combination data; performing cyclic statistical analysis on the combination data in the cyclic experimental database, to obtain a cyclic statistical result corresponding to retrieved combination data.

Abstract: A production environment monitoring system notes when problems or issues arise in a computer-based production environment. A noted problem or issue can trigger an escalation policy that calls for notifying an individual identified in the escalation policy to ask the individual to resolve or mitigate the problem or issue. The notification sent to the individual identified in the escalation policy also includes information about one or more individuals that are knowledgeable about the problem or issue that triggered the escalation policy and that may be able to provide assistance in resolving or mitigating the problem or issue.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform receiving a sequence of actions entered into a GUI before an account action for a user account of a user during a user session initiated via a first user portal; dividing the sequence of actions into actions for real-time features and actions for periodic features; simultaneously (1) storing the actions for the periodic features in a distributed cloud storage system and (2) processing the actions for the real-time features into the real-time features; and simultaneously storing the periodic features and the real-time features in a database managed by real-time stream processing software.

Abstract: Some embodiments provide a method for configuring a machine-trained (MT) network that includes multiple configurable weights to train. The method propagates a set of inputs through the MT network to generate a set of output probability distributions. Each input has a corresponding expected output probability distribution. The method calculates a value of a continuously-differentiable loss function that includes a term approximating an extremum function of the difference between the expected output probability distributions and generated set of output probability distributions. The method trains the weights by back-propagating the calculated value of the continuously-differentiable loss function.

Abstract: A system includes a processor to: receive a description of a current decision that includes selecting an option; repeatedly display the description; for each option, receive an indication of selection of scale text specifying a degree of intensity or intensity for achieving or avoiding a possible outcome of the option, and derive an overall motivation based on the at least one selection; identify a best option based on the overall motivations; display the best option; compare the overall motivation of the best option to a threshold; in response to being less than the threshold, display a warning and a prompt for the operator to further consider the current decision; compare the overall motivation of the best option to the others; and in response to not exceeding all other overall motivations, by at least a threshold of difference, present a proximity warning and the prompt.

Abstract: Systems and methods are described herein for resolving advertisement placement conflicts. Specifically, a number of parameters may be entered into a system in order to distribute advertisements into advertisement slots. In many instances, a combination of these parameters causes a conflict in the system where all the parameters cannot be applied in order to place advertisements into advertisement slots. The conflict may be resolved by using an advertisement assignment model to determine which parameters may be relaxed in order to arrive at an optimal solution that violates a smallest number of parameters having the least priority. When such a solution is found, the advertisement assignment model may be modified and advertisements may be placed into advertisement slots based on the modified advertisement assignment model.

Abstract: A correction control method includes steps of rebuilding a fuzzy inference system, setting a maximum correction value and a minimum correction value, determining whether there is an output value to be outputted, deciding a intermediate correction value and determining whether a range of an interval between the maximum correction value and the intermediate correction value is enough to constitute the fuzzy interval of the membership function, allowing the correction unit to output the maximum correction value, the minimum correction value and the intermediate correction value, adjusting the fuzzy inference system, allowing the fuzzification unit to constitute the minimum correction value according to the output value, determining whether a range of an interval between the maximum correction value and the minimum correction value is enough to constitute the fuzzy interval, and notifying that functions of the fuzzy inference system are failed.

Abstract: Techniques are provided for building a dialog-state specific contextual language understanding system using subsumption logic. Information establishing conversational rules identifying the conversational dialog is received to present in respective dialog states. Each rule has a Boolean trigger expression of predicates for testing the conversational state together with logical connectives to identify when the rule is applicable. Subsumption logic is used to arrange the rules into a directed acyclic graph (DAG) where more specific rules are preferred to more general rules. During a conversation, the DAG is used to filter the triggered rules to only the most specific triggered rules from which a rule to run is selected. This structure makes it easier to build conversational systems because rules can be added or removed without having to change or reason over other rules. The rules also act as a constraint to help machine learned selection systems converge with less data.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a first assessment result related to a first qualification of a candidate. Next, the system filters a set of opportunities based on a first comparison of the first assessment result with qualifications for the opportunities to produce a first subset of opportunities. The system then selects a second qualification associated with some or all of the first subset of opportunities to assess for the candidate. The system also filters the first subset of opportunities based on a second comparison of a second assessment result related to the second qualification of the candidate with additional qualifications for the first subset of opportunities to produce a second subset of opportunities. Finally, the system outputs recommendations related to applying to the second subset of opportunities by the candidate.

Abstract: Embodiments include method, systems and computer program products for a path-sensitive contextual help system. In some embodiments, user actions are obtained from a user session of a user. A concrete user action trace is captured using the obtained user actions, wherein the concrete user action trace is a subset of user actions from the user session. An abstract user action trace is generated using the concrete user action trace. A help action corresponding to the abstract user action trace is identified and, in some embodiments, is presented to the user.

Abstract: A data accessing device to access a storage element that stores encrypted data is provided. The data accessing device includes a processing circuit, a storage controller, a decrypting circuit and a combinational logic circuit. The processing circuit generates an accessing address and decryption related information according to an accessing command. The storage controller receives the accessing address and accesses corresponding encrypted data accordingly. The decrypting circuit receives the decryption related information and a pre-stored key to generate a decrypting cipher accordingly. The combinational logic circuit receives the corresponding encrypted data and the decrypting cipher to perform a logic operation to generate decrypted data accordingly that enables the processing circuit to access the decrypted data.

Abstract: Functionality is disclosed for automated deployment of applications. A network-based deployment service provides functionality for deploying software components to physical or virtual hosts in a service provider network and/or to hosts in other types of networks external to the service provider network. A user of the deployment service creates an application revision that includes deployable content and an application specification defining how the application is to be deployed and one or more lifecycle events. The application revision is then uploaded to a storage service, source code repository, or other location. A deployment configuration is also created that defines the location of the application revision, a deployment group, and a schedule for the deployment. A deployment agent executing on hosts in the deployment group obtains the application revision from the specified location, deploys the deployable content according to the schedule, and performs the lifecycle events.

Abstract: A computer-implemented method includes obtaining, by one or more processing devices, a training sample dataset, wherein the training sample dataset comprises at least two pieces of sample data and a sample label corresponding to each piece of sample data; constructing, by the one or more processing devices, a first relational network of the at least two pieces of sample data, and representing the at least two pieces of sample data using nodes of the first relational network; obtaining, by the one or more processing devices, a vectorized representation of each node in the first relational network based on a predetermined network embedding learning model; and training, by the one or more processing devices, a classification model based on the training sample dataset, wherein the classification model associates the sample label with the vectorized representation of each node in the first relational network.

Abstract: Methods, apparatus, and processor-readable storage media for automatically purging data using a deep neural network are provided herein. An example computer-implemented method includes training a neural network model using multiple types of attribute data and job-related data associated with historical workflow data maintained within multiple data structures of an enterprise system; dynamically analyzing workflows derived from the enterprise system, wherein dynamically analyzing the workflows comprises determining the multiple types of attribute data for the workflows and processing job-related data associated with the workflows into multiple data structures within one or more databases; applying the neural network model to the determined attribute data; and removing at least a portion of the multiple data structures from the one or more databases based at least in part on the application of the neural network model to the determined attribute data.

Abstract: Context information in a computer system is collected. Dependent context data maintains a reference to parent context data so that system context can be reconstructed and analyzed.

Abstract: Methods and systems for characterizing two or more nucleic acids in a sample. The method can include the steps of providing a hybrid machine learning approach that enables rapid and automated deconvolution of DNA mixtures of multiple contributors. The input is analyzed by an expert system which is implemented in the form of a rule set. The rule set establishes requirements based on expectations on the biology and methods used. The methods and systems also include a machine learning algorithm that is either incorporated into the expert system, or utilizes the output of the expert system for analysis. The machine learning algorithm can be any of a variety of different algorithms or combinations of algorithms used to perform classification in a complex data environment.

Abstract: Automated system design for a programmable integrated circuit (IC) includes conducting, using computer hardware, a dialogue with a user, wherein the dialogue describes a user design for the programmable IC, extracting, using the computer hardware, a first plurality of features for the user design from the dialog, and generating, using the computer hardware, a design specification for the user design based on the first plurality of features. Using the computer hardware, a device configuration for the user design is generated based on the design specification. The device configuration is loadable within the programmable IC to implement the user design.

Abstract: Aspects automatically identify and minimize local populations of mosquitoes wherein processors are configured to assign different exposure risk values to different geographic locations as a function of determining different respective values of likelihood that each of the locations will experience a threshold exposure to mosquito activity, assign population risk values to the locations as a function of population data, filter a location from the plurality of locations to generate a filtered remainder set of the locations as a function of one or more one risk values of the exposure risk value and the population risk value failing to meet a minimum threshold value, rank the filtered remainder set of the geographic locations, and associate each of a plurality of mosquito activity abatement actions to each of the ranked filtered remainder set of the geographic locations.

Abstract: In one aspect, a computerized method for implementing automated screen display generation and configuration including the step of obtaining a set of content that is displayed on a computer screen. The method includes the step of determining a number of screens to display the set of content. The method includes the step of determining an optimized location for each content in the number of screens that display the set of content using one or more machine learning methods to determine optimized location for each content in the number of screens.

Abstract: A system, method, and computer program product are provided for automatically pruning rules in an AI-based network management system. In operation, a network configuration identifier is defined for a configuration of a communication network in an AI-based network management system. Log data is collected of the communication network, and the log data is associated with the network configuration identifier. Next, training data is created for a first AI-engine for the network configuration identifier, based on the log data associated with the network configuration identifier. The one or more rules are associated with the network configuration identifier. Additionally, at least one rule of the one or more rules are provided to a second AI-engine used by the AI-based network management system.

Abstract: A performance testing and analysis environment performs tests on programming code and identifies any performance regressions. Tests exhibiting performance regressions are rerun, and the initial regressions are confirmed as genuine regressions or not. Analysis of the code under test and the performance under the tests are analyzed. The root causes of the performance regressions are identified. The process is fully automated and is performed quickly.

Abstract: An information processing apparatus according to an exemplary embodiment of the present invention receives an available amount of a consumable material available for use in modeling by a control apparatus configured to model a three-dimensional object using the consumable material, and selects, in a case where a plurality of objects is designated as a modeling target to be modeled by the control apparatus and a setting for the modeling by the control apparatus is designated and a required amount of the consumable material required for the modeling of the plurality of objects by the control apparatus according to the setting is larger than the received available amount, one or more of the plurality of objects as a modeling target such that the required amount of the consumable material required for the modeling by the control apparatus according to the setting is within the available amount.

Abstract: In a computer-implemented method for facilitating creation of a reusable application, during development of the reusable application, a plurality of artifacts associated with source code of the reusable application is received, wherein an artifact of the plurality of artifacts includes information related to the development of the reusable application. The plurality of artifacts is maintained as metadata for the source code of the reusable application. An application module including the source code of the reusable application and the metadata is generated, wherein the application module is configured for use by a developer for facilitating creation of a new version of the reusable application, and wherein the metadata is accessible by the developer during the creation of the new version of the reusable application for accessing the information related to the development of the reusable application.

Abstract: An intelligent product requirement configurator is a tool for assisting the implementation process of application platforms by generating a recommended configuration data set describing recommended configuration settings for a selected application platform. The tool acts as a repository for capturing requirements such as banking market practice requirements, regulatory requirements, and bank specific requirements. The tool further converts the requirements into profile data and business rules that are used to configure the application platform.

Abstract: Systems and methods are described herein for resolving advertisement placement conflicts. Specifically, a number of parameters may be entered into a system in order to distribute advertisements into advertisement slots. In many instances, a combination of these parameters causes a conflict in the system where all the parameters cannot be applied in order to place advertisements into advertisement slots. The conflict may be resolved by using an advertisement assignment model to determine which parameters may be relaxed in order to arrive at an optimal solution that violates a smallest number of parameters having the least priority. When such a solution is found, the advertisement assignment model may be modified and advertisements may be placed into advertisement slots based on the modified advertisement assignment model.

Abstract: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights from the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance. Insights include those having multiple pipelined attributes and other insights include multiple insights identified as having some relationship for the included insights.

Abstract: A command request may be made to create a new entity in a data storage system. The new entity may be depend upon one or more base objects required to exist prior to creating the new entity. The command request may be processed in accordance with a selected policy affecting the required base objects. The selected policy may be one of a defined set of policies affecting actions taken with respect to the required base objects and new entity. For example, the policies may provide for automatically creating the required base objects and new entity; automatically selecting existing base objects used to create the new entity; generating a command list of recommend commands for creating the required base objects and the new entity; and generating a recommend list of existing base objects and a command for creating the new entity using at least one of the existing base objects.

Abstract: Methods for testing and rating ranking variables used in search engine algorithms are disclosed. The methods for testing and rating ranking variables used in search engine algorithms create an isolated and contamination-free testing environment in which to test each of one or more individual ranking variables.

Abstract: Techniques for providing a data confidence index are presented herein. In one embodiment, a method includes setting a default confidence index for a remote computing device, the confidence index indicating trustworthiness of data provided by the remote computing device, the remote computing device operating as part of a network of cooperating devices; applying a plurality of ordered rules for the remote computing device, respective rules comprising a rule pre-condition and a confidence index adjustment, respective rules considering one of a behavior of the remote computing device and a property of the remote computing device; and adjusting the confidence index for the remote computing device responsive to results of applying the plurality of ordered rules. A system and apparatus substantially perform steps of the disclosed method.

Abstract: Systems, methods, and computer-readable media for generating, by an adaptive wizard, a customized gamification system to a customer. The gamification system is a system of events and milestones that provides a means by which the customer can recognize and award desired behavior patterns in order to increase engagement with users. The adaptive wizard generates the gamification system based on customer input and/or observed user behavior on a customer website. The adaptive wizard receives the input and determines content of the gamification system. The adaptive wizard processes the inputs and develops the gamification system for implementation by the customer to assist in achieving customer enterprise goals.

Abstract: A method of attaining a linguistic goal output of a process using a linguistic goal oriented decision making system, comprising setting the output value to a linguistic goal, and establishing a set of descriptive rules using historical data, wherein each descriptive rule has at least one variable, a decision variable, and at least one linguistic output value. The method further comprises grouping the set of descriptive rules into subsets of descriptive rules according to the linguistic output value of each descriptive rule and establishing decision rules based on comparing the grouped subsets of descriptive rules, the one or more decision rules describing a modification of a decision variable associated with at least one of the descriptive rules to affect the process.

Abstract: Methods and apparatus are provided for integrating heterogeneous multi-channel data using ontologies.

Abstract: A system, apparatus, and methods are provided for supporting automated recall of a message (e.g., a chat message) from an originator's device, or at least media that accompanied the message. An original message may convey one or more media files that are temporarily stored on a system or apparatus that hosts the communication application used to create, send, and receive messages. The media files may be lost in transit because of failure of a system component, failure of a storage device, purging of the files before they are retrieved by a recipient, or for some other reason. When the recipient's device receives an error in response to an attempt to retrieve the media file(s), it automatically initiates a recall request that is returned to the originating device. If the message and media are still available on the device, an abbreviated version of the message is re-sent, with the media.

Abstract: A method of providing a task assistant is described. The task assistant is designed to receive input from a user through multimodal input including a plurality of speech input, typing input, and touch input, determine the meaning of the input, and determining whether there is a context based on prior interactions with the user. The method further to generate an interpreted input based on a combination of the input and the context, and providing a formatted query to an application. The method further to receive data from the application in response to the formatted query, and provide a response to the user through multimodal output including a plurality of: speech output, text output, non-speech audio output, haptic output, and visual non-text output. The method further to update the context based on the interpreted input.

Abstract: Embodiments of the present invention provide a method, system, and computer program product for debugging a computer environment. In an embodiment of the invention, an anomaly is detected in a computing environment of multiple different computing devices disposed in multiple different network domains. Thereafter, administrative network privileges to access the multiple different network domains are acquired and existing resources in the computing environment are identified. Additionally, a signature file is loaded into a memory of the computer, where the signature file denotes infrastructure requirements of the computing environment, and the existing resources and the infrastructure requirements denoted in the signature file are compared to determine whether a disparity exists between the existing resources and the infrastructure requirements.

Abstract: In one embodiment, a computer-implemented method is provided, comprising: creating at least a portion of an instant messaging application that is configured to cooperate with an apparatus, the instant messaging application, when executed, configured to cause a device to: display an instant messaging interface including a communicant message user interface element for receiving a text portion of a message and a send user interface element for sending the text portion of the message in response to a user selection thereof, and receive, from the apparatus and utilizing a communications agent on the device configured to receive incoming messages addressed to a communicant identifier associated with a user of the instant messaging application, a notification including a constraint that identifies a plurality of user interface elements includable in a form presentable via the instant messaging interface for constraining a generation of one or more data object requests in response to a selection on one or more of th

Abstract: A method for directing inquiries to available subject matter experts includes storing an expert database in memory and defining presence states to describe present attributes of each subject matter expert with respect to a number of resource elements. Inquiries are directed to the experts, and response histograms are populated based on whether a response was obtained in a given presence state. The response histograms describe or define a response probability for each subject matter expert, as a function of the corresponding present attributes for each of the resource elements.

Abstract: A discovery bundle component is applied in a virtual image deployed within a virtual environment, wherein the discovery bundle automatically discovers asset information about one or more application bundles applied to the virtual image. The discovery bundle component sends, to a discovery product service, the asset information wrapped with a trusted signed certificate for the discovery product service, wherein the discovery product service is located outside the virtual environment.

Abstract: Embodiments of the present invention provide a method, system, and computer program product for debugging a computer environment. In an embodiment of the invention, an anomaly is detected in a computing environment of multiple different computing devices disposed in multiple different network domains. Thereafter, administrative network privileges to access the multiple different network domains are acquired and existing resources in the computing environment are identified. Additionally, a signature file is loaded into a memory of the computer, where the signature file denotes infrastructure requirements of the computing environment, and the existing resources and the infrastructure requirements denoted in the signature file are compared to determine whether a disparity exists between the existing resources and the infrastructure requirements.

Abstract: Exemplary embodiments may provide a skill exchange platform to improve collaboration and skill unitization throughout an entity. The skill exchange platform may provide participants an application or widget that enables them to both submit and receive “Asks” from other users based on their expertise. As a part of the system, points may be used as a unifying currency. Participants can volunteer or utilize incentives enabled by a gaming infrastructure and point system. Points may be accumulated by participants by responding to Asks. These points may then be used for a variety of benefits. Embodiments may include a skill exchange game. The goal of the game may be earn points towards corporate rewards as well as recognition through responding to Asks. The game may have a set of rules as well as different modes.

Abstract: A method for automated test case augmentation includes receiving, at an automated test augmentation system, a design model and model coverage gap information from a model-based development tool, translating the model coverage gap information into machine-readable mathematical test objective expressions, developing a set of test objective operators by translating the machine-readable mathematical test objective expressions, localizing target operators for the identified coverage gaps within the design model, attaching the test objective operators to target operators of the design model to create a test model, augmenting the test model by propagating test objectives at the target operators to a test node operator of the design model, and executing, by a test generator, the augmented test model to obtain the test cases to cover the coverage gaps and the causes for the model coverage gaps. A system for implementing the model-based design and a non-transitory computer readable medium are also disclosed.

Abstract: Methods and systems for license plate recognition utilizing a trained neural network. In an example embodiment, a neural network can be subject to operations involving iteratively training and adapting the neural network for a particular task such as, for example, text recognition in the context of a license plate recognition application. The neural network can be trained to perform generic text recognition utilizing a plurality of training samples. The neural network can be applied to a cropped image of a license plate in order to recognize text and produce a license plate transcription with respect to the license plate. An example of such a neural network is a CNN (Convolutional Neural. Network).

Abstract: A method for identifying a source of a job referral, the method including identifying a URL that the job applicant uses to access a web page with functionality to enable the job applicant to apply for the first job, identifying a first job message record using the URL, obtaining an original job message record for an original job message using the first job message record, determining a first sender of the original job message from the original job message record, determining that a second job message was sent to the job applicant for a second job at the company by a second sender, wherein the second job message was sent to the job applicant before the first job message and wherein the second job message was sent to the job applicant within a look-back period, and identifying the second sender as the source of the referral for the first job.

Abstract: A database program includes loose triggers that are not coupled to specific entities at the time the database program is compiled. The database program provides a user interface that allows a user to couple selected entities to the loose triggers or decouple selected entities from loose triggers. The database program validates the entities that are selected by the user for coupling or decoupling and stores the coupled entities as part of the loose trigger definitions in a loose trigger metadata database.