Abstract: A consent management system may receive a request to modify consent data associated with a patient. The system may obtain patient capacity information associated with the patient and may determine whether to allow the patient to modify the consent data based on the obtained patient capacity information. The patient capacity information may indicate patient cognitive capacity, patient emotional capacity and/or the like. A response to the consent modification request may be generated based on the determining. For example, based on a determination that the obtained patient capacity information indicates that patient lacks the capacity to modify the consent data, the response may indicate a rejection of the request (e.g., may indicate that the consent data may not be modified). Based on a determination that the obtained patient capacity information indicates that patient possesses the capacity to modify the consent data, the response may indicate an approval of the request.

Abstract: In an example, the present invention provides a meta data processing apparatus for processing sensor inputs and providing feedback to a user for an on-line course. The invention provides for storing the information on a public block chain using a plurality of servers.

Abstract: An adaptive feedback timing system and method includes receiving, by a performance observation system, monitoring data associated with electronically monitoring a lesson by a variable feedback teaching device. Adaptive feedback timing also includes receiving, by the performance observation system, error detection data associated with the variable feedback teaching device automatically detecting an error made by a student during the lesson. After receiving the error detection data, a feedback pattern is automatically selected based on a performance history criterion. Feedback data is then communicated to the variable feedback teaching device for presentation to the student according to the automatically selected feedback pattern.

Abstract: A system with access to regularly updated information regarding an entity can generate information regarding the performance of that entity. For example, values of various key performance indicators (KPIs) can be determined. One or more of the values can be compared to a corresponding threshold or range. Based on the results of the comparisons, an alert can be generated and sent to a user associated with the entity, a user interface (UI) that presents information to the user about the entity can include information regarding the KPIs, or both. The system may have access to data regarding a number of similar entities. Using the data for the similar entities, one or more benchmarks for the KPIs of the entity can be determined. The KPIs can be compared to the benchmarks and the results shown in a UI, an alert, or both.

Abstract: Techniques for interacting with users in a discussion environment are disclosed. Upon identifying a question in the discussion environment, a system determines: (a) whether a stored answer has already been associated with the question, (b) whether an answer can be generated by the system using existing information accessible to the system, or (c) whether to contact an expert to answer the question. The system updates the knowledge base by storing the questions and answers, along with user feedback to the questions and answers. Based on the user feedback, the system determines whether to modify existing answers to user-generated questions or to seek answers from additional human experts.

Abstract: In various embodiments, an entity may provide a WebView where a transaction between an entity and a data subject may be performed. As described herein, the transaction may involve the collection or processing of personal data associated with the data subject by the entity as part of a processing activity undertaken by the entity that the data subject is consenting to as part of the transaction. Additionally, the entity may provide a native application where the transactions between the entity and a data subject may be performed. In some embodiments, the system may be configured to share consent data between the WebView and the native application so data subjects experience a seamless transition while using either the WebView or the native application, and the data subjects are not required to go through a consent workflow for each of the WebView and the native application.

Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use an attention-based mechanism that emphasis or de-emphasizes each data type (e.g., image, word, character) in the multimodal message based on each datatypes relevance. The output of the attention mechanism can be used to update a recurrent network to identify one or more words in the caption as being a named entity.

Abstract: A method executed by a computing entity includes generating a virtual reality environment utilizing a group of object representations by rendering a representation of a first set of object representations and a second set of object representations to produce first portrayal 3-D video frames of a first piece of information for the virtual reality environment. The method further includes determining whether a second piece of information has been selected based on a second cue. When the second piece of information has been selected the method further includes rendering another representation of the second set of object representations and the first set of object representations to produce second portrayal 3-D video frames of the second piece of information for the virtual reality environment.

Abstract: A setting method of in-memory computing simulator is presented. It involves an in-memory computing device performing various test combinations of neural network models and datasets, recording the corresponding first estimation indices. A processing device then uses these test combinations to execute a simulator with adjustable settings and records the corresponding second estimation indices. The processing device calculates a correlation sum according to the first estimation indices and second estimation indices, and performs an optimal algorithm to search an optimal parameter in a setting space to maximize the correlation sum.

Abstract: Systems, device configurations, and processes for a server to receive, from a user interface (UI) on a client, a request to generate a list from a selection of: an objective, vocabulary item, and/or grammar point mapped to a range of competency scores, and an audience. The server then selects data records storing data for the objective, vocabulary item or grammar point. The server then renders, for transmission and display on the client, a user interface control including a list of data for the objective, grammar point, and/or vocabulary item.

Abstract: A system and process for dynamic security monitoring of test taking. The system combines historical information about the test taker or relevant conditions, and includes sensors which objectively monitor test taker's actions, inactions, and involuntary response to the test given before and during the test, and at a specific test location. The information collected from the sensors is compared to a plurality of predetermined individual risk factors, which indicate a possibility of test fraud by the individual test taker to create a test event risk profile. The individual risk profile is combined with non-individual specific risk factors to create a holistic test event security profile. Security resources are then dynamically assigned to or removed from the test event based on the unique test event security profile.

Abstract: The present invention relates to a method and system for evaluating and enhancing or improving the creativity and intelligence of a user. The creativity and intelligence of the user are evaluated by generating and evaluating mathematical representations of user answers to creativity and intelligence prompts. The mathematical representations may include positions, orientations, and scales of interactive visualization inputs and the answers may be evaluated based on the fluency, originality, elaboration, and flexibility of the answers to the prompts. The creativity and intelligence of the user are enhanced through generating user learning groups of users with similar creativity levels, generating interactive assignments, generating user workspaces for the user learning groups, verifying completed interactive assignments, and assessing the completed interactive assignments.

Abstract: A data collection, display, and report generation platform has a first input interface configured to present a learning module comprising a series of questions and answers on a plurality of successive question/answer screens comprising a plurality of radio buttons, at least one of the radio buttons configured to accept both a first input action and a subsequent second input action, each providing a different visual indication. The first and second input action each indicate a different confidence level of a learner's answer. A display dashboard displays a plurality of data visualizations of metrics of misinformation and struggle of plurality of learners based on a plurality of answers collected through the first input interface, and comprises one or more bar graph displays, one or more heat map displays, and one or more sorting tools configured to alter the one or more bar graph displays or one or more heat map displays.

Abstract: Web-based opinion survey method, apparatus, and computer-readable media operable to cause propositional function responses to be provided to a survey server from a client device. The propositional functions are P(x), where P and x are the predicate and subject. Each P(x) is evaluated in the client device for subjects, each with a different x. Preferably, the client device displays the subjects within a Web Single Page Application (SPA) running on the client device. Preferably, the SPA displays a nonnumerical scale, the granularity of which is directly proportional to the number of pixels spanned by the scale. For each P(x), the client device displays labeled markers along the scale, to provide an indication of a level of agreement with the expressed P(x). For each P(x) subject, the client expresses an opinion on a position on the scale, whereby a pixel position corresponds to a rating for the selected subject.

Abstract: Identifying material with which students are struggling can guide educators' decisions on which modifications to the instructional experience will be most impactful to the learning experience. Educators make a finite selection of the nearly infinite number of possible combinations of instructional content, delivery approaches, instructional order, test questions, approaches for accountability, rubrics, and the like. Educators and administrators with thousands of students are incapable of processing the quantities of available data unaided. In some embodiments, a system enables users to view quantized metric data from a population of, for example, students. In some embodiments, the system displays a category-filtered presentation table of a single metric data source.

Abstract: A method and system for virtual environment-based interfaces applied to selected objects from video directs a system's focus of attention to an image within a first video stream and identifies an object in the image by applying a trained neural network. In response to a communication from a user comprising language and/or images describing a virtual environment, a second trained neural network is applied to generate a second video stream that embodies the identified object within a virtual environment that is in accordance with the user-described virtual environment. The second video stream is then delivered to the user. The system's focus of attention and/or generation of the virtual environment may be informed by user preferences that are inferred from user behaviors.

Abstract: Embodiments of the present disclosure may include a method for providing an encounter via a virtual assistant with artificial intelligence, the method including detecting, by one or more processors, an encounter request from a user.

Abstract: An information processing method includes: obtaining first image data indicating an image of at least one portion of a face of a target person from a camera connected to or built into a first computer; obtaining cerebral blood flow information indicating a state of cerebral blood flow of the target person from a detector that is connected to or built into the first computer and that detects the cerebral blood flow information; and displaying, on a display connected to or built into a second computer connected to the first computer through a remote network, an output image including a first image based on the first image data and a second image based on the cerebral blood flow information. The first image is a moving image including the at least one portion of the face, and the second image indicates changes over time in the cerebral blood flow information.

Abstract: A method for generating a series of questions from a presentation that includes receiving information materials for a presentation session, and converting the information materials into a text based data element. The method further includes comparing the text based data elements to a knowledge base directed to topics of interest to score the text based data elements for priority, and transforming text based data elements having a score above a threshold value into plurality of quiz metadata objects. The quiz metadata objects include context from the topics of interest. The method further includes generating quiz questions from the plurality of quiz metadata objects using the context and a set of templates of question types.

Abstract: Good health is one of the paramount essentials for any human being. A method and system for assessing and improving wellness of a person using body gestures have been provided. The system is configured to address fitness, wellness and physical movement related problems for both the abled and the differently abled society. The disclosure provides an intelligent and adaptive system that will comprehend the gestures and postures of the person to assess his capability of undertaking wellness activities. The person's movement capabilities and the environment are learnt by the system to track the gestures for the activities. Based on his gestures, the extent of activity achievement is calculated. The system also has the feature of provisioning dynamic activities to the person based on prior attempts and levels of achievements. Additionally, the system also providing the fitness routine in an AR environment by human-to-object mapping through object detection and augmentation.

Abstract: The present invention solves difficulties in constructing a dialogue corpus, ensures the accuracy of a system utterance, and evaluates a user utterance in a dialogue technology for language learning and a knowledge-grounded dialogue technology, in which a system and method is capable of helping a learner in language learning by constructing a language learning dialogue corpus using passages and exercises commonly used in language education and learning sites, training a dialogue model and a dialogue evaluation model with the language learning dialogue corpus, and allowing a user and a system to have a dialogue on the basis of a given passage. It is expected that it will be possible to implement a dialogue system for language learning that is capable of performing evaluation and easily expanding a domain (expansion of learning content).

Abstract: This disclosure includes systems and techniques that verify an educational quality of online videos, employing a platform that enables experts to endorse and/or recommend videos that are more readily accessible to end users. Certain aspects include a computing device for a service provider that receives a query from a user for video content. The computing device forwards the query to a hosting service, and in response to the query, the computing device receives, from the hosting service, a list of video content items it hosts. The computing device identifies, for each video content item within the list of video content items, an endorsement value associated with one or more experts. In some aspects, the computing device generates an aggregated list of video content items from a plurality of lists of video content items based on endorsement values. The computing device provides recommendations to the user using the endorsement values.

Abstract: A system for proctoring online exams includes a client-side computing system and a visual analytics system. The client-side computing system includes a camera configured to obtain video data corresponding to a user while taking an exam and one or more input devices configured to obtain interaction data, wherein the interaction data includes mouse movements of the user while taking the exam. The visual analytics system is configured to obtain the video data and the interaction data from the client-side computing system, analyze the exam data to detect abnormal behavior by the user based at least in part on mouse movement data, and generate one or more visualizations of the analyzed exam data to be used in determining whether or not the user has cheated during the exam.

Abstract: Embodiments of a system and method are described for generating a finance attribute. In one embodiment, the systems and methods retrieve raw tradeline data from a plurality of credit bureaus, retrieve industry code data related to each of the plurality of credit bureaus, determine one or more tradeline leveling characteristics that meet at least one pre-determined threshold, and generate a finance attribute using the selected leveling characteristics.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting actions from large discrete action sets. One of the methods includes receiving a particular observation representing a particular state of an environment; and selecting an action from a discrete set of actions to be performed by an agent interacting with the environment, comprising: processing the particular observation using an actor policy network to generate an ideal point; determining, from the points that represent actions in the set, the k nearest points to the ideal point; for each nearest point of the k nearest points: processing the nearest point and the particular observation using a Q network to generate a respective Q value for the action represented by the nearest point; and selecting the action to be performed by the agent from the k actions represented by the k nearest points based on the Q values.

Abstract: Various systems and methods for engagement dissemination. A face detector detects a face in video data. A context filterer determines a student is on-platform and a section type. An appearance monitor selects an emotional and a behavioral classifiers. Emotional and behavioral components are classified based on the detected face. A context-performance monitor selects an emotional and a behavioral classifiers specific to the section type, Emotional and behavioral components are classified based on the log data. A fuser combines the emotional components into an emotional state of the student based on confidence values of the emotional components. The fuser combines the behavioral components a behavioral state of the student based on confidence values of the behavioral components. The user determine an engagement level of the student based on the emotional state and the behavioral state of the student.

Abstract: A method for execution by a computing entity for creating a learning tool regarding a topic includes obtaining a first assessment response for a first set of knowledge assessment assets of a first learning object of learning objects. 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 first assessment response.

Abstract: A contextual-based method and system for identifying and revealing objects from video directs a focus of attention to images or sequences of images responsive to a command, interrogative, or inferred preference of a user. A probability is assigned to an object that is inferred to be represented in the images or sequence of images. The probability is generated by application of a computer-implemented neural network. The probability is then updated based upon a context within which the representation of the object is inferred to be situated. The context may be inferred from one or more inferences related to one or more archetypical objects that are associated with the context. In accordance with the updated probability, a communication may be delivered that references attributes of the object and/or the user may direct a command to the representation of the object.

Abstract: A method and system for incentivized neural network training and assurance processes provides incentives to object miners to identify objects in video streams for the purposes of enhancing the training of computer-implemented neural networks on the identified objects and/or augmenting the results of automatic object identification by trained neural networks. An object mining user interface and process is provided to object miners that provides incentives for identifying objects in video streams and technical capabilities for designating identified objects within multiple multi-dimensional regions of pixels. Incentives may be token-based and in accordance with end user interactions within a visual user interface with representations of the miner-identified objects within a video stream.

Abstract: Systems and methods are disclosed for tuning a generative artificial intelligence (AI) model based on a knowledge base. Instead of manually generating questions relevant to the knowledge base, providing those questions to the generative AI model, and manually reviewing the answers generated by the generative AI model in order to tune the generative AI model over many iterations, a natural language processing model may be configured to leverage the knowledge base to automatically generate questions and answers based on the knowledge base. In this manner, the natural language processing model is able to generate tuning data that may be used to automatically tune the generative AI model. The systems and methods also disclose automatic tuning of the generative AI model, including testing and feedback that may be used to improve tuning of the generative AI model.

Abstract: An electronic device and method are disclosed. The electronic device includes a display, a communication module configured to perform wireless connection with a stylus pen, a processor operably coupled to the display and the communication module, and a memory storing programming instructions. The processor implements the method, including: receiving, via the communication module, a gesture input from the stylus pen while the stylus pen is spaced apart from the display, determining that a gesture identification error has occurs based on the received the gesture input, and controlling the display to display a visual guide related to the gesture identification error.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing personalized avatars for virtual companionship are disclosed. One of the methods includes capturing one or more current online activities of a user of an online education platform providing learning services to the user; receiving sensor data from one or more electronic devices of the user; detecting an event by analyzing a combination of the one or more captured online activities of the user and the received sensor data; determining one or more avatars and one or more special effects associated with the one or more avatars based on the detected event and one or more pre-determined rules mapping avatars and special effects to events; generating multimedia content comprising the one or more avatars and the one or more special effects; and streaming the generated multimedia content to a multimedia display device of the user.

Abstract: Systems and methods for improved management of artifact information of at least one first artifact document comprising a plurality of first fragments of artifact information and of at least one second artifact document comprising a plurality of second fragments of artifact information, especially comprising comparing and merging artifact information.

Abstract: A dynamic reasoning system may include a symbolic reasoning engine that iteratively calls a dynamic rule generator to answer an input query. The symbolic reasoning engine may determine a primary goal and/or secondary goals to generate proofs for the answer. The symbolic reasoning engine may call a rules component to provide rules to prove a current input goal. The rules component may use a static rule knowledge base and/or the dynamic rule generator to retrieve and rank rules relevant to the current input goal. The dynamic rule generator may generate new rules that lead to the current input goal. The dynamic rule generator may include a statistical model that generates unstructured or structured probabilistic rules based on context related to the input query. The symbolic reasoning engine may return a list of rules with confidence for explaining the answer to the input goal.

Abstract: An experience rating and skill discovery system (ERSDS) and a method for determining credibility of experience ratings provided by one or more reviewers and discovering skills of opportunity seekers based on a relationship between the reviewers and the opportunity seekers are provided. A skill profile module of the ERSDS reads profile data from a user profile list and generates a skills profile list. An invitation module transmits invitations to reviewer devices for providing the experience ratings.

Abstract: A Barcode System with Re-publishable Content or Tasks consists of a data server with User Data Management module and 2D Barcodes Management module, mobile communication devices with 2D barcode scanners, user ID recognition module and task reader, and 2D barcodes whose destination URLs are quizzes or games based on the users' skill levels. The Barcode gives certain users permission to select from the tasks received by scanning the barcode and republish them to other users' ebooks. There are also some settings in the barcode to control skill subscription, and valid dates etc. Once the user scanned the 2D barcodes, and finished the tasks, the results will be uploaded to the data server to re-evaluate the user's skill level and assign the next sets of tasks.

Abstract: The complexity of implementing machine learning models in software systems can be reduced using an abstraction system. The abstraction system functions as an intermediary between a machine learning service and a client process. The abstraction system provides a unified API by which the client process can submit client requests targeting a machine learning model and also abstracts the complexity of configuring model requests in the appropriate form for a particular machine learning service and model. The abstraction system also provides a standard mechanism for delivering results to the client process in an actionable format and for tracking outcomes of any actions that the results trigger. The abstraction system therefore greatly simplifies the process of employing machine learning models within a software system.

Abstract: Disclosed is a platform that manages worker users in a temporary staffing environment via an artificial machine learning model. The temporary staffing platform matches available workers to available shifts/gigs. Additional features include generating provisional or near-miss matches and informing workers how to turn those near-misses into full matches, plotting a gig-career path to develop additional skills, gamify development, and automatically generate resumes. The platform generates a set of skill tags associated with each shift/gig performed by the user. Designing of resume text files by the artificial machine learning model includes procedurally generated descriptions of experience the a user has based on the recording of each shift/gig performed by the user and the skill tags associated with each recorded shift/gig, wherein a format of the resume text file is formulated by the artificial machine learning model evaluating a mix of skill tags and employers amassed by the user.

Abstract: Speech analysis is performed by receiving estimated glyphs corresponding to an estimate made by speech-to-text software of what has been spoken out loud by a user; comparing the estimated glyphs with reference glyphs representing a text from which the user has attempted to read; and providing feedback relating to the user's speech based on the comparison of the estimated glyphs with the reference glyphs.

Abstract: Method, apparatus and computer program for providing a personalized study plan to a learner through cognitive and behavioral diagnosis of the learner. A learner who uses a data input device such as a smart pen and a stylus pen by using data obtained from the data input device. The method, apparatus and computer program relate to technology for obtaining input data based on information inputted by a user for at least one question with the data input device, creating test behavior data on the user from the obtained input data, analyzing cognition and behavior of the user based on at least one of metadata on the at least one question and the created test behavior data, and providing a personalized study plan to the user through an algorithm using machine learning based on the cognition and behavior analysis.

Abstract: Disclosed are systems and methods that efficiently and reliably allows school district(s) and municipalities as well as third parties provide incentives to students' accounts, and those incentive awards can be converted to funds for additional education expenses. In one aspect, the method includes reconciling a plurality of transactions transferring funds to a student account from a municipal account upon a corresponding student accomplishing at least one of a plurality of goals. The goals are each based upon completion of an action stored in a municipal database. The method includes, upon reconciling the transactions, determining that a remaining amount in the municipal account is less than a predetermined threshold and automatically generating and transmitting an alert message to a dashboard user interface of the municipal account for display on a municipal workstation comprising an indicator that the remaining amount in the municipal account is less than the predetermined threshold.

Abstract: An image processing apparatus capable of improving operability of a question preparer. The image processing apparatus including a memory device that stores instructions, and a processor that executes the instructions to: generate a question sheet image by controlling a reading unit to read a question sheet in which question sentences and question numbers are written, generate an answer sheet image by controlling the reading unit to read an answer sheet that includes answer fields, question numbers corresponding to the answer fields, and marks showing marking results, detect an answer field including a wrong answer mark from the answer sheet image, obtain a question number corresponding to the detected answer field from the answer sheet image, obtain a question sentence corresponding to the obtained question number from the question sheet image, and generate a review image including the obtained question sentence and a new answer field.

Abstract: Provided are systems and methods of a chatbot that can response on behalf of a first user during a three-way chat communication including multiple users and the chatbot. In one example, the method may include receiving a chat message transmitted from a first user device to a second user device, determining, via a machine learning model, an intent of the received chat message, detecting a suggested response based on the determined intent and external data, determining a confidence value for the suggested response based on a source of the suggested response, and outputting the suggested response when the confidence value is above a predetermined threshold via a chatbot of the chat application that is displayed within a user interface of the chat application on the second user 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 selecting one of the first learning object, a second learning object, and a third learning object as an active learning object based on the first assessment response.

Abstract: A computer-implemented method comprising: outputting questions to a user via one or more user devices, and receiving back responses to some of the questions from the user via one or more user devices; over time, controlling the outputting of the questions so as to output the questions under circumstances of different values for each of one or more items of metadata, wherein the one or more items of metadata comprise one or more physical conditions of the user; monitoring whether or not the user responds when the question is output with the different metadata values; training the machine learning algorithm to learn a value of each of the items of metadata which optimizes a reward function, and based thereon selecting a circumstance when the user is exhibiting a particular physical condition to output subsequent questions.

Abstract: The multi-agent simulation system includes a plurality of agent simulators provided for each of the plurality of agents and a center controller. The plurality of agent simulators are programmed to simulate a state of each of the plurality of agents while causing the plurality of agents to interact with each other by exchanging messages. The center controller is programmed to control a speed ratio of a flow of time in the target world to a flow of time in a real world. Each of the plurality of agent simulators calculates an index value corresponding to a remainder time rate. The remainder time rate is a rate of a remainder time to an update time interval for updating a state of a target agent to be simulated. The center controller controls the speed ratio based on the index value calculated by each of the plurality of agent simulators.

Abstract: A computing system retrieves ball-by-ball data for a plurality of sporting events. The computing system generates a trained neural network based on ball-by-ball data supplemented with ball-by-ball data with ball-by-ball match context features and personalized embeddings based on a batsman and a bowler for each delivery. The computing system receives a target batsman and a target bowler for a pitch to be delivered in a target event. The computing system identifies target ball-by-ball data for a window of pitches preceding the to be delivered pitch. The computing system retrieves historical ball-by-ball data for each of the target batsman and the target bowler. The computing system generates personalized embeddings for both the target batsman and the target bowler based on the historical ball-by-ball data. The computing system predicts a shot type for the pitch to be delivered based on the target ball-by-ball data and the personalized embeddings.

Abstract: A computer-implemented method, computer program product and computing system for: defining a training routine for a specific attack of a computing platform; and generating a simulation of the specific attack by executing the training routine within a controlled test environment.

Abstract: A neurological profile associated with introversion/extroversion levels, simultaneous visual element processing capability, and/or dynamism processing capability, etc., is determined to select market categories and stimulus material targeted to the particular neurological profile. The neurological profile is determined using information such as user input, user activity, social and environmental factors, genetic and developmental factors, and/or neuro-response data. The neurological profile can be matched with corresponding neurological profile templates to select market categories and stimulus material.

Abstract: In certain implementations, creation of an educational test may be facilitated based on prior performance with individual test questions. A user input indicating a subject matter for a test, one or more question categories related to the subject matter, and a questionee group for which the test is intended may be received. A plurality of questions may be obtained based on the user input. For each question of the plurality of questions, a question performance metric value associated with the question (that is calculated based on prior performance of one or more questionees with the question) may be obtained. A test performance metric value associated with the test may be calculated based on the question performance metric values associated with at least some questions of the plurality of questions. The at least some questions and the test performance metric value may be provided for presentation on a user interface.