Abstract: Embodiments of the present invention are directed to methods and apparatus in which a player plays one of a plurality of networked gaming devices. Game awards below a predefined level are tracked and stored on the network. If the game awards are less than a predefined criterion, a pay command is sent over the network to the player's gaming device, which may be used for a free game. Implementation in a single gaming device is also disclosed.

Abstract: The present disclosure relates to a technology for providing learning questions on the basis of one learning level in a plurality of games. The learning level of a learner whose learning level has not been set is set by providing the learner with a set number of evaluation questions. A next evaluation question for the learner is set based on learning question solving results of the learner for an evaluation question. Learning questions based on a learning level are provided in various games that are executed in a gaming device.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of physicality assessment assets of a first learning object to a second computing entity. The method further includes obtaining a first assessment response in response to the representation of the first set of physicality assessment assets. The method further includes determining an undesired performance aspect of the first assessment response. The method further includes updating at least one of the first learning object and a second learning object based on the undesired performance aspect to facilitate improved performance of a subsequent assessment response.

Abstract: The present disclosure relates to a video highlight extraction method and system, and a storage medium. The method includes: obtaining a to-be-processed online class video and a teacher-student interaction feature and dividing the to-be-processed online class video into a plurality of target videos; respectively analysis on pictures corresponding to all frames of a target video, to obtain a visual feature set of a student and a visual feature set of a teacher in the pictures corresponding to the frames; determining timeliness of student feedback; performing speech recognition on the speech segment corresponding to the student and the speech segment corresponding to the teacher and extracting a key word, to determine fluency of language of the teacher, fluency of language of the student, and correctness of teaching knowledge; and determining a highlight in the to-be-processed online class video according to priorities of the target videos.

Abstract: Systems and associated methods for selectively enabling and disabling a powered system include an interlock device and a control system. The interlock device may enable or disable operation of the powered system. The control system may disable operation of the powered system with the interlock device, receive at least one answer to at least one question from a user of the access device, and enable operation of the powered system with the interlock device based on the at least one answer meeting a predetermined criteria. In some cases, the control system enables or disables operation of the powered system based on a distance between an access device and the interlock device, based on a status of the powered system after enabling operation, or based on a communication status of the access device after enabling operation of the powered system.

Abstract: Generally, described herein are computer-implemented systems and methods for self-guided education in various aspects of health care. The described systems and methods effect behavior change through a functional relationship between the content of educational case packages comprising a plurality of displays, each of which has one or more completion conditions which must be completed by the user in accordance with a health care procedure to be practiced. The performance of the case by the user habituates behavior change through practice of a health care procedure.

Abstract: A non-transitory computer-readable storage medium storing computer-readable instructions which, when executed by a processor of a computing device, cause the computing device to carry out a method. The method comprises obtaining sensor data indicative of a parameter sensed by a sensor associated with an article of sports equipment; obtaining position data indicative of a spatial position of the sensor or of the article of sports equipment; jointly processing the sensor data and the position data to derive a hybrid metric; and outputting a signal conveying the hybrid metric on a network or storing the hybrid metric in a computer-readable memory. The sensor data and the position data may be time-aligned to a common time reference, so that the jointly processing is carried out on the time-aligned sensor data and position data. The hybrid metric measures properties that are not derivable from the sensor data alone or the position data alone.

Abstract: A method includes receiving a command to transform a first statement in a first conversational training set into training data for a second training set, where the first conversational training set trains a first machine learning model in a first knowledge area, and where the second conversational training set trains a second machine learning model in a second knowledge area. The method also includes analyzing language of the first statement using a third machine learning model, where the third machine learning model is trained to recognize patterns of language variation between the first and second knowledge areas. The method also includes, responsive to the analyzing, selecting an original segment of the first statement. The method also includes, responsive to the selecting, transforming the first statement into a second statement, for the second conversational training set, that includes a substitute segment that at least partially replaces the original segment.

Abstract: A haptic system can include a user device including one or more haptic actuators and one or more sensors. The haptic system can be configured to perform operations including controlling the haptic actuator(s) to produce a haptic output based on a haptic output profile associated with a desired action of a user of the haptic system; detecting, using the one or more sensors, one or more user response characteristics in response to the haptic output; determining, based at least in part on the one or more user response characteristics, data describing a user action of the user performed after the haptic actuator(s) produces the haptic output; comparing the data describing the user action with data indicative of the desired action to generate an effectiveness metric; and determining a subsequent haptic output profile for a subsequent haptic output based at least in part on the effectiveness metric.

Abstract: A method is provided, including: recording gameplay data from a first session of a video game, the first session defined for interactive gameplay of a user; training a machine learning model using the gameplay data, wherein the training causes the machine learning model to imitate the interactive gameplay of the user; after the training, determining a classification of the machine learning model by exposing the machine learning model to one or more scenarios of the video game, and evaluating actions of the machine learning model in response to the one or more scenarios; and, using the classification of the machine learning model to provide a coaching recommendation to the user.

Abstract: Methods, systems, and computer program products for generating computer source code products. According to one method, an engineer creating or modifying an implementation of computer source code selects design patterns from a catalog of pre-existing design patterns. The design patterns are known abstractions that solve specific problems of computer program design and implementation. The selected design patterns are then bound to elements within a representation of the implementation known as a model. The model is then converted into a representation using elemental design patterns, and this abstraction model is used to generate the computer source code in any programming language. The abstraction model is also suitable as input for an automated inference engine for validation or verification purposes prior to or after the generation of the computer source code.

Abstract: Disclosed are a method and apparatus for selecting answers to idiom fill-in-the-blank questions, a computer device, and a storage medium. The method includes: obtaining a question text of idiom fill-in-the-blank questions, the question text including a fill-in-the-blank text and n candidate idioms, and the fill-in-the-blank text including m fill-in-the-blanks to be filled in with the candidate idioms; obtaining an explanatory text of all the candidate idioms; obtaining, through an idiom selection fill-in-the-blank model, a confidence that each fill-in-the-blank is filled in with each candidate idiom; selecting m idioms from the n candidate idioms to form multiple groups of answers; calculating a sum of the confidences that the fill-in-the-blanks are filled in with the candidate idioms in each group of answers; and obtaining a group of answers with the highest confidence sum as answers to the idiom fill-in-the-blank questions.

Abstract: Methods and systems of displaying substring pairs where visual demarcations delineate adjacent substring pairs from each other. The method may comprise receiving a plurality of the primary substrings, a plurality of the secondary substrings, and a plurality of visual demarcations, displaying, on an electronic display, the primary substrings and the secondary substrings arranged into substring pairs, and one of the visual demarcations in each of the correspondence areas. Additional desired visual effects may be achieved through the use of specific demarcations, demarcation placements, and substring modifications.

Abstract: A method for generating presentation slides with distilled content including receiving one or more data files as source material for slide generation, obtaining content from the one or more data files for a slide of a slide presentation, identifying a layout template for the slide based on the content, and distilling the content into distilled content to generate a presentation visualization item based on the distilled content. The distilled content may include a subset of the content. The method may also include generating the slide based on the presentation visualization item and the layout template.

Abstract: A media segment of audio or video content can be identified by deriving data from media content and comparing the data to a reference database to identify the video segment. The speed and accuracy of the media identification process can be improved by advantageously partitioning the indexes in subdivisions where high value reference information is separated from the bulk information.

Abstract: Machine-learning based modelling may be utilized to automatically select a particular display variation of a user interface to be displayed to a user of a specially configured computing device, such as a cash handling device used in a retail establishment. To provide user-specific display variations of user interfaces, activity trackers generate activity data for the users interacting with user interfaces of the specially configured computing device. A machine-learning model is then executed to select an applicable display variation of a plurality of available display variations for the user, based at least in part on the generated activity data. Thereafter, when the specially configured computing device receives a request to display the user interface, the applicable display variation of the user interface is displayed for the user.

Abstract: Systems and processes are provided for analyzing a test taker's knowledge, skills, and cognitive function. The systems and processes include smart questions (i.e., SmartItems) programmed with coded variables, or for multiple choice varieties, variable sets of options to cover an entire skill set being tested. The systems and processes generate questions in real time during administration of the test, by formulating and displaying, to a test taker, random combinations of a question stem and randomly-selected question components. This smart question content is unpredictably and randomly presented, as representations of the skill to be tested. The systems and processes analyze the test taker's knowledge, skills, and cognitive function about the entire domain of the skill, rather than a single fact. The systems and processes provide security to test administration.

Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

Abstract: A method of determining a position of an object in a virtual environment and for assessing a performance in the movement of said object. Preferred embodiments provide an improved endoscope simulator and means for assessing performance in the use of an endoscope.

Abstract: Industrial vehicle monitoring for modification of vehicle operator behavior comprises storing data identifying an event associated with the operation of an industrial vehicle, the data having a performance parameter to evaluate against the event. Further, operation of the industrial vehicle is monitored for an event. When an occurrence of the event is detected, event data that characterizes an action of a vehicle operator is recorded into memory. The recorded event data is evaluated against the performance parameter to determine whether the vehicle operator demonstrated appropriate behavior for the detected event, and a behavior modification action is determined based on the evaluation of the recorded event data against the performance parameter. An output message is conveyed on the industrial vehicle to perform the behavior modification action.

Abstract: The present invention relates to a learning game system that comprises a plushy having an internal chamber and a control system that is fitted into the internal chamber. The control system comprises a microcontroller, one or more memory, an impact sensor, and a user interface. During gameplay, a person catching the ball is detected by way of the impact sensor. The person is presented with a question that can be from a variety of school subjects, trivia, or other types of questions. An answer is received from the person by way of the user interface. A determination can be made if the answer is correct or incorrect. The person is prompted to toss the ball to another game-playing person. Game content such as questions can be downloaded, interchanged, or otherwise changed to cover a variety of subject matter areas and be progressively challenging to gameplayers of all ages.

Abstract: Systems and methods are disclosed herein for modifying the spelling of a list of names based on a score associated with a first name. The systems and methods may receive a media asset, determine a first source of data corresponding to the media asset, and receive, from the first source of data, a list of names, each name in the list of names being associated with a respective copy of the media asset. The systems and methods may generate a reduced list of names, retrieve a criterion from storage, determine a set of scores corresponding to each name from the reduced list of names based on the criterion, select a first name from the reduced list of names based on the set of scores, and modify the spelling of a second name in the list of names based on the first name.

Abstract: A computer-implemented method is disclosed. The method includes: obtaining document data for a first web document; identifying one or more tradeable objects based on performing a contextual scan of webpage content of the first web document; generating supplementary display data associated with the first web document, the supplementary display data including one or more user interface elements for initiating data record access actions in connection with at least one data record associated with the one or more identified tradeable objects; and graphically presenting the supplementary display data with the webpage content of the first web document.

Abstract: A system for evaluating manufacturing feasibility of a graphical design is disclosed. The system includes a secret owner device and a memory, operatively connected to the secret owner device. The memory may be configured to store a three-dimensional form including a three-dimensional shape and a dimension set in three dimensions and at least a local geometric feature. The apparatus may also include a merge engine configured to generate at least a combined three-dimensional graphical design as a function of the three-dimensional graphical design and the at least a contributor graphical design. The apparatus also includes an interrogation engine communicatively connected to the merge engine.

Abstract: Systems and methods for self-configuring table automations. A system may include at least one processor configured to present a plurality of alternative automation packages for application to a table, wherein each package includes a plurality of automations, and wherein each automation is configured to cause an action in response to at least one condition detected in the table; identify a selection of a package from the plurality of packages; automatically configure a first condition in a particular automation in the selected package based on data in the table; display a second undefined condition of the particular automation, wherein the second undefined condition requires further configuration; receive an input for configuring the second undefined condition; configure the second undefined condition using the input to cause the second undefined condition to become a second defined condition; and apply the particular automation to the table.

Abstract: An information processing apparatus includes a processor configured to, for each confidential information which is information included in a document and having confidentiality, set a user to which a browsing permission is not granted for the confidential information, and in a case where the document for which an output request is made from the user includes the confidential information for which the browsing permission is granted to the user and the browsing permission is not granted to another user, notify the user that the browsing permission is not granted to the other user for the confidential information.

Abstract: Systems and methods may involve processing of entity data by nested machine learning models to produce one or more aggregate risk scores, which may be compared to one or more thresholds to determine when one or more predefined actions should be taken. The entity data may be collected for various entities related to an exam registration and delivery process, which may include a candidate, an exam, a test center, an exam registration event, a proctor, and an exam delivery event. Entity data for each entity may be separately processed by entity-specific machine learning models to generate intermediate entity risk scores. The intermediate entity risk scores may be input to an aggregate machine learning model, which may output an aggregate risk score. A resource management server may cause the predefined actions to be taken after comparing the aggregate risk score to the one or more thresholds.

Abstract: Each play of a base game increases the likelihood of winning a bonus award. A display provides a graphical indication of the change in likelihood of winning the bonus award. In one aspect, the bonus award comprises the opportunity to play a secondary game. In another aspect, winning the bonus award may be based on payback percentage or outcomes of the base game. In yet another aspect, the timing of the next bonus award can be configured, or otherwise based on one or more conditions.

Abstract: A server apparatus for providing a game using game media to a user over a network may include a storage unit, an identifier obtaining unit, and a game content output unit. The storage unit may store identifiers and game media in association with each other. The identifier obtaining unit may obtain, from a terminal apparatus, an identifier selected through a user operation. The game content output unit may obtain a game content associated with the identifier obtained by the identifier obtaining unit and may output the game content to the terminal apparatus. The game content may not be identifiable using the identifier.

Abstract: A method and system including an adaptive learning platform having a backend system and a frontend system. The backend system is configured to manage lessons for display on a user device. The backend system includes a creation module for creating new courses, the course module is configured to employ AI processing techniques to search for relevant content stored in a database of the backend component and recommend the relevant content to a user as course content (new course content) for a new course. The frontend system is configured to execute on the user device and includes a user interface for the user to access various modules of the backend system.

Abstract: A system includes a memory, an optical subsystem, an audio system, a plurality of sensors outputting sensor data, a communication circuitry, and a processor. The processor is configured to input to a baby-specific educational machine learning model, image data, audio signal data, sensor data, baby personal data associated with a baby, and a visual image and a sound presented to the baby based on a baby-specific educational plan; to receive an output from the baby-specific educational machine learning model where the output includes an indication that the baby understood or did not understand the visual image and the sound associated with the baby-specific educational plan, and a baby-specific educational recommendation based on the indication; and to execute based on the baby-specific educational recommendation, a modification of the baby-specific educational plan, or a continued execution of the baby-specific educational plan.

Abstract: An online education platform manages and integrates a number of education services for users of the platform, including job recall services. These job recall services include management and distribution of j ob recall materials that test whether job applicants have acquired desired knowledge or skills for a particular job opening or class of jobs. The job recall materials are uploaded to the education platform and mapped to one or more learning units. Each learning unit is associated with an educational course and includes a distinct concept in the associated course. Responsive to a user of the education platform completing the learning unit to which a job recall material is mapped, the job recall material is recommended to the user.

Abstract: A computer-implemented system, method, and computer program product are described that predicts a time in which a participant of a group of participants may speak in a group meeting. The prediction is based in part on latency between each participant in the group of participants and learned voice patterns of each respective participant. Once a prediction is determined, a cue to speak or remain silent is provided as one of a visual or aural cue to the participant to speak during the group meeting. Predicting a time in which the participant of a group of participants may speak includes training a lingual processing model iteratively for each respective participant to learn voice patterns of participants.

Abstract: The present invention relates to a messaging system configured to: receive a request to generate a message at a first client device; cause display of a message notification within an interface of a second client device, wherein the message was addressed to a recipient of the second client device; receive a request to un-send the message from the first client device; and remove the message notification from the interface at the second client device in response to the request to un-send the message, according to some example embodiments.

Abstract: A non-transitory computer-readable computer medium stores instructions for a patient attempting to quit smoking.

Abstract: A computer based interactive system and method of diagnosing test taking errors for educational and psychological processes on a computer while a learner is taking an exam over the internet, when the learner arrives at a wrong answer to an exam question.

Abstract: Embodiments are provided for ticket-agent matching and agent skillset development. In some embodiments, a system includes a processor that executes computer-executable components stored in memory. The computer-executable components can include a matching component that determines, using a ticket profile and a space of agent profiles, a ticket-agent pair including a ticket identifier of a service request and an agent identifier of a particular agent within a pool of agents. The computer-executable components also can include a rematching component that assigns a second agent identifier to the service request to develop a skillset of a second particular agent within the pool of agents, the second agent identifier being associated with an unsatisfactory skill score for a defined skill to resolve the service request.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes issuing a representation of a first set of profile assessment assets of a first learning object to a second computing entity. The method further includes determining a learner profile associated with the second computing entity based on a first assessment response in response to the representation of the first set of profile assessment assets. The method further includes selecting one of the first learning object, a second learning object, and a third learning object as an active learning object based on the learner profile.

Abstract: Novel tools and techniques are provided for implementing learning technologies, and, more particularly, to methods, systems, and apparatuses for implementing artificial intelligence (“AI”)-powered augmented reality learning devices. In various embodiments, a computing system might receive captured images of positions of a user's eyes correlated with particular portions of first content being displayed on a display device; might identify a first object(s) of a plurality of objects being displayed on the display device that correspond to the positions of the user's eyes as the first content is being displayed, based on analysis of the received captured images of the positions of the user's eyes; might send, to a content source, a request for additional content containing the identified first object(s); and based on a determination that second content containing the identified first object(s) is available, might retrieve and display the second content on the display surface of the display device.

Abstract: This application relates to a method of constructing a training program for improving symptoms of a mild cognitive impairment patient. In one aspect, the method includes arranging, on designated days, direct training algorithms regarding at least one of visualization, fusion, or semantic word fluency directly related to a cognitive function area and controlling the arranged direct training algorithms to be output to a user terminal according to the designated days, and receiving a result value from the user terminal. The method may also include calculating an achievement level for each direct training algorithm, based on the result value, and determining one of the direct training algorithms based on the calculated achievement level. The method may further include rearranging the direct training algorithms, together with the determined direct training algorithm based on both the calculated achievement level and a training algorithm matched to the determined direct training algorithm.

Abstract: Systems and methods are provided by which a machine learning model may be executed to determine the probability that a given user will respond correctly to a given assessment item of a digital assessment on their first attempt. The machine learning model may process feature data corresponding to the user and the assessment item in order to determine the probability. The feature data may be calculated periodically and/or in real time or near-real time according to a machine learning model definition based on assessment data corresponding to the user's activity and/or based on responses submitted by all users to the assessment item and/or to content related to the assessment item.

Abstract: A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement.

Abstract: A computer-implemented method of online voting and of validating said votes that enables votes to access digital ballots on an internet enabled computing device, such as a mobile phone, tablet, or computer, and submit his/her votes in a secure manner that prevents ballot tampering, only counts validated ballots, and informs voters of whether or not their votes were validated and subsequently included in election results.

Abstract: Systems and methods for biometrically identifying an individual via a screening system for screening a subject for a response to neurophysiological stimuli as an indication for COVID-19, wherein the screening system is configured to capture biometric data associated with the subject during screening of the subject. The systems and methods provide the subject a neurophysiological stimulus selected for clinical manifestations of COVID-19, updating biometric template as necessary for individuals, and then determining whether an individual is the subject based on the updated biometric template and a response exhibited by the subject to the neurophysiological stimulus.

Abstract: A system includes a database configured to store a matrix of knowledge units, a curriculum generation unit configured to generate a curriculum for the user based on the matrix of knowledge units stored in the database, a knowledge providing unit configured to provide the user with the at least one problem and to provide the user with contents on the knowledge unit associated with the user's response to the at least one problem, and a user knowledge analysis unit configured to determine the user's achievement for the at least one knowledge unit based on a feedback that the user provided in response to at least one other problem, and to reflect information on the determined achievement to the database.

Abstract: The electronic module including a metal base, a ceramic substrate, and a die-capacitor is disclosed. The ceramic substrate is mounted on the metal base via eutectic solder. The ceramic substrate includes a main substrate having a back surface facing the metal base and a front surface opposite to the back surface, and a back metal layer placed on the back surface of the main substrate and joined to the eutectic solder. The die-capacitor is mounted on the front surface of the ceramic substrate along one edge of the ceramic substrate. The back surface of the ceramic substrate is provided with an exposure region where the back metal layer is not provided. The exposure region includes a main region corresponding to an outer shape of the die-capacitor spreading along the front surface and an edge region extending from the main region to the one edge of the ceramic substrate.

Abstract: A context-aware adaptive data processing application is described. One or more computing servers establish connections with multiple user terminals to provide an application to the user terminals. The provided application is executable at the user terminals via web browser or a dedication application installed at a user terminal, for example. The provided application is context-aware to dynamically adapt to a user's changing circumstances.

Abstract: Data is received that specifies a term generated by user input in a graphical user interface. Thereafter, the term is looked up in a dictionary in which there are multiple classes for terms. The term can be classified based on a first class having a top ranked effective count for the term within the dictionary when a ratio of the first class relative to a second class having a second ranked effective count for the term in the dictionary is above a pre-defined threshold. In addition, the term is classified using a machine learning model when the ratio of the first class relative to the second class is below the pre-defined threshold. Data can be provided which characterizes the classifying. Related apparatus, systems, techniques and articles are also described.

Abstract: Systems and methods provide micro-credential accreditation. The systems and methods analyze, using one or more prediction models, received text submissions received from applicants via interaction with an applicant device. The prediction model(s) fit one or more micro-credentials to the received text submission, which may collectively or independently qualify the applicant for one or more accreditation credits. By processing the received text submission, the systems and methods allow for consistent and standard output of micro-credentials by the prediction model(s). Furthermore, the systems and methods provide for monitoring the prediction model output(s) to ensure ethical fairness across varying demographic groups of applicants.

Abstract: In many embodiments, a system comprising one or more processor and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: determining a set of questions associated with a campaign by extracting text from one or more advertisements; generating vector embeddings of one or more online activities of a user; receiving a search query from a graphical user interface of a computing device of the user; determining a second question from the set of questions to present to the user based on respective relevance probabilities; determining a confidence score associated with the second question; and when the confidence score associated with the second question exceeds a second predetermined threshold, presenting the second question to the user via the graphical user interface. Other embodiments of related methods and systems are also provided.