Abstract: A perturbation filtering system that employs a separate Filter AI to learn and filter injected noise from perturbed data fed to an existing AI System for continued operation in an adversarial situation. The Filter AI may be connected to the input data of the Supported AI so that all input data go through the Filter AI before reaching the Supported AI. Alternatively, Filter AI may be connected to the blocked data output of an AI Firewall so that all blocked data from the AI Firewall go through the Filter AI and if the filtering is successful, enters the AI Firewall. Alternatively, Filter AI may be connected to the AI Firewall input, or Filter AI may be connected to the blocked data output of the AI Firewall.

Abstract: Systems and methods for a natural language survey system are provided. The natural language survey system may harness generative artificial intelligence (“AI”) and machine learning to enhance survey question generation, survey participance and completed survey analysis and research. The natural language survey system may include a dynamic interactive platform. The dynamic interactive platform may enable a researcher to create a survey using natural language. The dynamic interactive platform may enable a researcher to directly identify survey goals instead of creating a plurality of goal-oriented specific questions. The dynamic interactive platform may enable a plurality of participants to participate in the survey. The dynamic interactive platform may provide reports and insights to the researcher upon completion of the survey by the participants.

Abstract: The invention relates to a communication system and a method for providing a virtual meeting of a first user (U1, U2, U3, U4) and a second user (U1, U2, U3, U4), comprising a first communication device (12, 14, 16, 18, 24, 26, 28, 32, 34) with a first display device (12a, 14a, 16a, 18a, 24a, 26a, 28a, 32a) associated with the first user (U1, U2, U3, U4), and a second communication device (12, 14, 16, 18, 24, 26, 28, 32, 34) with a second display device (12a, 14a, 16a, 18a, 24a, 26a, 28a, 32a) associated with the second user (U1, U2, U3, U4).

Abstract: There is provided a computer implemented method for the automated analysis or use of data, comprising the steps of: (a) storing in a non-transitory computer-readable medium a structured, machine-readable representation of data that conforms to a machine-readable language; in which the structured, machine-readable representation of data includes a plurality of tenets defining rules, the plurality of tenets including at least one constraint tenet, the at least one constraint tenet preventing a bad action; wherein the plurality of tenets comprise different sets of tenets; (b) using the different sets of tenets in different contexts, e.g. for different types of chatbots, or for different end-users.

Abstract: An arrangement for determining external damage to hair is given. A device comprising: a reading unit adapted to obtain optical characteristics of hair; and a processing unit adapted to receive the optical characteristics from the reading unit and to determine surface properties of the hair from the optical characteristics, wherein the processing unit implements a pattern recognition algorithm and is adapted to assign, by employing the pattern recognition algorithm, the surface properties to a predetermined damage including at least one damage type and an associated damage level and to output the damage.

Abstract: The present disclosure relates to systems, methods, and devices for controlling charging of vehicles, to avoid charging during charge-adverse time periods or during charge restriction events. This can advantageously reduce cost to vehicles owners, and or provide access to reward incentives. Further, power distribution entities (utility providers) advantageously have increased control over power distribution to avoid over-burdening of power distribution infrastructure. Further, systems and methods for determining or inferring whether a vehicle is connected to a charge station are described, which can be used to inform automatic restriction of vehicle charging.

Abstract: A network state tracking system tracks the state of a network and recommends an action when the state of the network changes. The network state tracking system detects one or more nodes on the network and generates one or more snapshots of the network. The snapshots are generated by obtaining first and second status data from the nodes and detecting whether a change in the network has occurred based on the status data. The snapshots are generated based on the first and second status data when a change in the network is detected. The snapshots are then used to train a machine learning model to recommend an action to take when a change in the network occurs.

Abstract: Embodiments of the present disclosure generally relate to a network-based real-time enterprise travel management system that can facilitate planning, booking, scheduling, and managing travel, while also facilitating expense budgeting and reporting. Embodiments of the present disclosure can provide systems and methods for generating and managing a predictive itinerary associated with travel and/or an event, as well as a centralized marketplace for accessing various services and events.

Abstract: A method includes receiving a spoken utterance that includes a plurality of words, and generating, using a neural network-based utterance classifier comprising a stack of multiple Long-Short Term Memory (LSTM) layers, a respective textual representation for each word of the of the plurality of words of the spoken utterance. The neural network-based utterance classifier trained on negative training examples of spoken utterances not directed toward an automated assistant server. The method further including determining, using the respective textual representation generated for each word of the plurality of words of the spoken utterance, that the spoken utterance is one of directed toward the automated assistant server or not directed toward the automated assistant server, and when the spoken utterance is directed toward the automated assistant server, generating instructions that cause the automated assistant server to generate a response to the spoken utterance.

Abstract: A method of processing multimedia data, a device, and a medium, which relates to a field of an artificial intelligence technology, in particular to fields of knowledge graph and deep learning. The method of processing the multimedia data includes: recognizing the multimedia data so as to obtain at least one key information of the multimedia data; querying a predetermined knowledge base according to the at least one key information, so as to determine a multimedia name associated with the at least one key information and an association degree between the multimedia name and the at least one key information; and determining, in the multimedia name, a name of the multimedia data based on a similarity between alternative multimedia data for the multimedia name and the multimedia data, in response to the association degree being less than a first threshold value.

Abstract: A sequence of models accumulates r-squared values for an increasing number of variables in order to quantify the importance of each variable to the prediction of a targeted yield or parametric response.

Abstract: A device may receive user data identifying vitals of users when receiving treatments and dosages of the treatments, and may process the user data, with a divergence model, to determine divergence data identifying divergences between the users. The device may process the divergence data, with a clustering model, to group the users into clusters of users, and may train a first neural network model, with the user data, to generate a trained first neural network model. The device may train a second neural network model, with the user data, to generate a trained second neural network model, and may generate a treatment model based on the trained first and second neural network models. The device may process new user data identifying a new user, with the treatment model, to determine a recommended treatment for the new user, and may perform one or more actions based on the recommended treatment.

Abstract: Described embodiments provide systems and methods for enhancing user engagement with micro applications. A computing device can include one or more processors and memory. The computing device can receive an indication of an action to be completed with use of a micro application. The computing device can be in communication with a client device and one or more computing systems of record to execute the micro application. The computing device can values for one or more attributes of the micro application. The computing device can generate, based on the identified values, a score for the micro application. The computing device can provide the score to the client device for display within a user interface. The user interface can be configured to initiate the action with use of the micro application.

Abstract: In some implementations, a system enables an administrator to customize a set of rules to dynamically adjust the configuration and output of an application provided to users. A configuration interface for setting rules that dynamically adjust output of an application is provided. Data indicating one or more rules are received through the configuration interface. Activity data indicating user interaction with the application or sensor data for at least some of a plurality of users of the application are then received from multiple client devices. A determination relating to the activity data satisfying at least one condition or trigger is then made. Instructions to adjust output of the application according to one or more system actions of the one or more rules are then communicated to client devices associated with the users in the first subset of the plurality of users.

Abstract: A device and method for recommending a custom function to the user in an electronic device. The electronic device may obtain information of a user gesture that repeatedly occurs based on interaction of the user detected by at least one sensor and determine one or more customized functions to be suggested to the user, among functions of the electronic device including a plurality of accessibility functions, in consideration of the information of the user gesture. The electronic device may execute a target customized function selected by the user from among the one or more customized functions.

Abstract: A method of answering queries using one or more families of large language models (h-LLMs) including receiving a user prompt via an application programming interface (API) at an input broker from a user interface, generating a plurality of derived prompts from the user prompt at the input broker, transmitting the plurality of derived prompts to one or more h-LLMs via a cloud service API, each h-LLM of the one or more h-LLMs being in a cloud container environment, receiving a plurality of h-LLM results at an output broker, processing the plurality of LLM results at the output broker to generate a result, and transmitting the result to the user interface via the API.

Abstract: Provided is a control support apparatus, comprising: an equipment abnormality estimation section for estimating an abnormality of equipment based on measurement data by measuring the equipment; a simulation section for simulating a future state of the equipment when controlling the equipment by each of a plurality of candidate control methods according to an abnormality estimation result of the equipment; and a simulation abnormality estimation section for estimating a future abnormality of the equipment based on a future state of the equipment for each of the plurality of candidate control methods.

Abstract: There is provided a computer implemented method for the automated analysis or use of data, comprising the steps of: (a) storing in a non-transitory computer-readable medium a structured, machine-readable representation of data that conforms to a machine-readable language; in which the structured, machine-readable representation of data includes a plurality of tenets defining rules, the plurality of tenets including at least one constraint tenet, the at least one constraint tenet preventing a bad action; wherein the plurality of tenets comprise different sets of tenets; (b) using the different sets of tenets in different contexts, e.g. for different types of chatbots, or for different end-users.

Abstract: Building and using a smart contract in order to resolve the isolation between database users and service operators for hyper-protect database as a service (DBaaS). The use of the smart contract in the hyper-protect DBaaS environment allows the service operator to perform operations on sensitive and secure data in the database owned by a user without necessarily revealing the content of the sensitive and secure data.

Abstract: A feedback based public safety method is provided. The method is implemented by a computing device and comprising receiving, from an external device of an individual, identification data of the individual associated with the external device, accessing from one or more databases, by the computing device of the user, ratings data specific to the individual, the ratings data is based on historical interactions of the individual, comparing the ratings data with one or more of a plurality of threshold values, determining, based on the comparing, whether the ratings data satisfies one or more of the plurality of threshold values, and initiating one or more of a plurality of actions sets responsive to the ratings data satisfying the one or more of the plurality of threshold values.

Abstract: A system and method for generating and applying meta-models in simulated environments, in which an agent simulation is selected, one or more agent goals are received, and agents are created which are individual instances of the agent simulation with each agent having at least one of the agent goals, wherein the agents are used in the execution of an environment simulation which dynamically changes based on the collective behavior of the agents. The agents operate in the environment simulation using meta-models which describe how the agents interact with other agent and how the agents interact within the simulation.

Abstract: A system and method for generating a multi-label classifier of textual data is presented. The method includes training a plurality of single-label classifiers, wherein each of the plurality of single-label classifiers is trained to classify textual data to a single predefined revenue-based label; and training the multi-label classifier using labeled data output by the plurality of single-label classifiers, wherein the multi-label classifier is trained to classify textual data to a vector including revenue-based labels and their respective classification scores.

Abstract: An earpiece in embodiments of the present invention may have one or more of the following features: (a) an earpiece housing, (b) at least one speaker, (c) a plurality of sensors disposed within the earpiece housing, and (d) a processor disposed within the earpiece housing and operatively connected to the plurality of sensors and the at least one speaker, wherein the processor is configured to use an artificial intelligence framework to evaluate sensor input from the plurality of sensors to provide advice to the user.

Abstract: Techniques are provided herein. The techniques can include obtaining current context data and determining a contextually-determined action based on the obtained context data and a reasoning model. The reasoning model may have been determined based on one or more sets of training data. The techniques may cause performance of the contextually-determined action and, potentially, receiving an indication that performing the contextually-determined action in the current context resulted in an anomaly. The techniques include determining a portion of the reasoning model that caused the determination of the contextually-determined action based on the obtained context data and causing removal of the portion of the model that caused the determination of the contextually-determined action, to produce a corrected reasoning model. Subsequently, second context data is obtained, a second action is determined based on that data and the corrected reasoning model, and the second contextually-determined action can be performed.

Abstract: Systems and methods are provided for creating and managing a data integration workspace. The workspace may comprise one or more views of data (or datasets) stored in or accessible by the system. Models may be generated and updated based on the plurality of datasets and presented via a graphical user interface. Feedback received via a graphical user interface presenting a model may be used to annotate an underlying dataset associated with the model. Responsive to a modification of the underlying dataset or the rules for using the underlying dataset to generate the model, other related datasets and/or models may be automatically updated accordingly. Templates associated with one or more types of users may be defined. Each template may comprise one or more specific models related to a specific type of user.

Abstract: According to at least one embodiment, a method, a computer system, and a computer program product for handling an unreliable data sink is provided. The present invention may include reading, continuously, via a stream processor, a batch of data entering the stream processor via a reliable input stream, the stream processor comprising a daisy chain of sink nodes, wherein a first sink node is a primary sink node and a subsequent plurality of sink nodes in the daisy chain are fallback sink nodes; outputting processed data to a non-streaming target system; upon completion of the processed data to the non-streaming target system, invoking an asynchronous callback function listing successful and failed record IDs of the processed data; and passing the failed records to a first fallback sink within the daisy chain, while the primary sink node concurrently continues submitting new batches of data to the non-streaming target system.

Abstract: A building system that operates to receive building data from one or more building systems of the building, wherein at least a portion of the building data is associated with control of the one or more environmental conditions of the building and generate, based on the building data, a plurality of building health scores of the building, wherein an overall building health score is based on a combination of the plurality of building health scores. The building system operates to receive user feedback regarding the plurality of building health scores via one or more user devices, determine whether the user feedback confirms or denies an accuracy of the plurality of health scores, and generate a user interface and cause the user interface to display an indication of whether the user feedback confirms the accuracy of the plurality of building health scores.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generalization of a quantum imaginary time evolution process and simulation by tensor networks are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise a universal component that generalizes a quantum imaginary time evolution process to provide a quantum imaginary time evolution ansatz process. The computer executable components can further comprise a simulation component that applies the quantum imaginary time evolution ansatz process to one or more general multi-body quantum systems.

Abstract: The present invention tracks provenance (people, place, time, permissions, machine characterization and identification) for an off-chain digital asset, provides data verifiability and enforces least privileged access within a single organization or across multiple organizations via a combination of Blockchain and communication agents to enable data assured operations in a normal operating environment and Logistics Under Attack (LUA) environment. The present invention creates data assurance for a digital asset across networks and within environments as it tracks provenance of the digital asset at rest or in motion allowing a data file to move directly from the originator to a customer at the point of use or point of origin to point of use and all points in between in a prescribed or random flow.

Abstract: Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.

Abstract: This disclosure relates generally to the field of program slicing, and, more particularly, to a method and system for function call and variable access based relaxed backward slicing. The method discloses a slicing criterion which focuses only on functions called from an entry function. The slicing criteria uses control and data flow information to slice the given entry function with respect to functions called from the body of the entry function and eventually remove all functions not called directly or indirectly from the entry function. The variables modified by calls in the entry function are considered through side-effect while identifying control and data dependence chain within body of entry function. The proposed technique identifies partitions of functions based on the variables accessible in and functions called from the entry function. Thus, unrelated sets of functions with respect to the entry function are computed and divided into different partitions.

Abstract: A virtual reality application adaptively generates a virtual reality experience intended to improve a user's mood. A plurality of digital assets is stored together with associated scores. A score for a digital asset represents a predicted amount of mood improvement occurring in a cohort of users having similar profiles to a target user in response to virtual reality experiences including the digital asset. A customized virtual reality experience is generated for the target user based at least in part of the user profile data on the scores. The user's change in mood is detected through survey and/or biometric data. Scores for the digital assets may then be updated in order to further learn their respective effects on the cohort of users.

Abstract: There is provided a computer implemented method for the automated analysis or use of data, comprising the steps of: (a) storing in a non-transitory computer-readable medium a structured, machine-readable representation of data that conforms to a machine-readable language; in which the structured, machine-readable representation of data includes a plurality of tenets defining rules, the plurality of tenets including at least one constraint tenet, the at least one constraint tenet preventing a bad action; wherein the plurality of tenets comprise different sets of tenets; (b) using the different sets of tenets in different contexts, e.g. for different types of chatbots, or for different end-users.

Abstract: The present disclosure relates to recording and tracking a local content enrichment submission via a local content enrichment platform that leverages distributed ledger technology. The system can comprise a memory to store computer executable instructions. Also, the system can comprise one or more processors, operatively coupled to the memory, that execute the computer executable instructions to implement a blockchain layer configured to record a local content enrichment submission to a distributed ledger and track a status of the local content enrichment submission via transactions with the distributed ledger. The local content enrichment submission includes data characterizing a proposal of an entity to comply with local content regulations of a region.

Abstract: A network device comprises processing circuitry configured to: receive a plurality of data chunks from at least one source; form a composite data chunk from at least first and second data chunks of the plurality of data chunks; process the composite data chunk to identify a match between a first pattern of characters within the composite data chunk and a stored pattern of characters; and validate or invalidate the match based on metadata of the composite data chunk.

Abstract: A system includes processing hardware, a user interface (UI), and a system memory storing a software code. The processing hardware executes the software code to receive from a first user, via the UI, project data identifying a project including multiple tasks, determine, using the project data, a node-based graph of the project including the tasks, receive from a first user or a second user via the UI, task action data producing a modification to the node-based graph, and identify, based on the modification to the node-based graph, one of a conflict or a potential future conflict among at least two nodes of the node-based graph. The software code further identifies a conflict avoidance strategy for resolving the conflict or preventing the potential future conflict, and displays, via the UI, the conflict avoidance strategy to the first user or the second user, or performs the conflict avoidance strategy.

Abstract: The subject technology determines a level of expertise associated with a user of a messaging system, the level of expertise based at least in part on user activity in a particular product category. The subject technology, based at least in part on the determined level of expertise, selects media content corresponding to a particular product. The subject technology causes display, at a client device, the selected media content related to the particular product.

Abstract: Methods and systems are described herein to recommend media assets to a user based on user location. A media guidance application may identify, using control circuitry, a user location. The media guidance application may generate a list of a plurality of media assets that match a user profile. The media guidance application may determine whether subject matter of a first media asset of the plurality of media assets is inconsistent with the user location. The media guidance application may remove the first media asset from the list in response to determining that the subject matter of the first media asset is inconsistent with the user location.

Abstract: A method for monitoring an electrical installation comprises: while the installation is in operation, measuring electrical currents that flow through the installation and temperature values at predefined locations in the installation; using a numerical model acquired beforehand, computing a numerical index representative of thermal properties of the installation, from differences between the measured temperature values and corresponding temperature values estimated by means of said model from the measured current values; and detecting a thermal anomaly when the computed numerical index differs from a reference value.

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generated synthetic data may be checked for similarity against the training data, and if similarity conditions are met, it may be modified (e.g., resampled), removed, and/or replaced.

Abstract: The present disclosure is directed to generating animated images for presentation by a dynamic keyboard interface. In particular, the methods and systems of the present disclosure can: receive data describing advertisement content, and data describing a first context in which to present the advertisement content; generate data describing a first animated image including at least a portion of the advertisement content; determine a second context in which to present the advertisement content; generate data describing a second animated image including at least a portion of the advertisement content; and communicate, to one or more user devices on which one or more applications are executed, data indicating a plurality of different animated images for presentation by a dynamic keyboard interface in association with the one or more applications, the plurality of different animated images comprising the first animated image and the second animated image.

Abstract: A behavioral sensor for creating consumable events can include: a feature extractor coupled to receive an event stream of events performed by a circuit, wherein the feature extractor identifies features of a particular event of the event stream and associates the particular event with a time; and a classifier coupled to receive the features of the particular event from the feature extractor, wherein the classifier classifies the particular event into a classified event associated with the time using predefined categories based on the received features of the particular event; whereby the classified event and subsequent classified events extracted from the event stream within a time frame are appended in a time series forming the consumable events.

Abstract: A system to infer place data is disclosed that receives location data collected on a user's mobile electronic device, recognizes when, where and for how long the user makes stops, generates possible places visited, and predicts the likelihood of a user to visit those places.

Abstract: Techniques for using finite state machines (FSMs) to implement workflows in a data processing system comprising at least one data store storing data objects and a workflow management system (WMS). The WMS is configured to perform: determining a current value of an attribute of a first data object by accessing the current value in the at least one data store; identifying, using the current value and metadata specifying relationships among at least some of the data objects, an actor authorized to perform a workflow task for the first data object; generating a GUI through which the actor can provide the input that the workflow task is to be performed; and in response to receiving, from the actor and through the GUI, input specifying that the workflow task is to be performed: performing the workflow task; and updating the current workflow state of the first FSM to a second workflow state.

Abstract: Techniques for personalizing an AI automated conversational system are provided. In one aspect, a method for personalizing an automated conversational system includes: making predictions of a familiarity of a user with concepts needed to understand a standard output utterance based on the familiarity of an aggregate of users and a background knowledge model of the concepts and related concepts, wherein the standard output utterance assumes that the concepts are known; and giving, by the automated conversational system, an output utterance that is tailored to the user given the predictions. For instance, the automated conversational system can give the standard output utterance to the user when it is predicted that the user is familiar with the concepts, or a nonstandard output utterance when it is it is predicted that the user is unfamiliar with at least one of the concepts.

Abstract: A type estimation model generation system is a system that generates a type estimation model used for type estimation of estimating one of a plurality of types to which a user belongs, the system including: a learning data acquiring unit configured to acquire learning time series information that is information of a time series about a plurality of used musical pieces and learning type information representing types to which users who have used the plurality of musical pieces belong that are learning data used for machine learning; and a model generating unit configured to generate the type estimation model by performing machine learning using information based on the learning time series information as an input for the type estimation model in units of musical pieces in order of the time series and information based on the learning type information as an output of the type estimation model.

Abstract: A method for feeding electric power into an electric supply network using a wind park having wind power installations is provided. An expected power is determined for a predetermined feed-in period, where the expected power indicates a power value or temporal profile of power expected to be available to the park as power from wind in the predetermined feed-in period. An expected accuracy is determined and is a measure of how accurately the power reaches the expected power in the feed-in period. To determine the expected power, at least one expected wind variable representative of the expected wind speed is determined using a weather forecast, and the expected wind variable is additionally determined or verified, proceeding from the weather forecast, using a correction rule based on local weather data and/or operating data of the park. The expected power is determined on the basis of the expected wind variable.

Abstract: Systems and methods for estimating a long-term effect in the presence of unobserved confounding are provided. For example, a long-term effect of a change in user interface of a media playback application may be estimated. An experimental dataset and an observational dataset may be compiled using data from a plurality of computing devices. The observational dataset may include unobserved confounding. Using the experimental dataset, a short-term effect may be determined. Using the short-term effect and samples from the observational dataset, an instrumental variable may be computed that may be used in instrumental variable regression to estimate the long-term effect.

Abstract: A method may include, receiving, at a server device and from a requesting computing device associated with a requesting user, a request for a data item. The data item configured may be configured as a data structure and include an encrypted data payload; metadata identifying a source of the payload and when the data payload was captured; and a token identifying an owner of the data item and access rights to the data item. The method may include parsing the token to identify the owner of the data item; transmitting the request for the data item to a computing device associated with the owner; receiving a response from the computing device. The response may indicate the requesting user may access the data item, and in response, transmit a decryption key to the requesting computing device for the encrypted data payload. The method may include updating the token.

Abstract: The disclosed method for implementing a digital assistant in a multi-application network includes: receiving an input command from a computing device; analyzing the input command; determining based on the analysis of the input command, a digital request data object associated with the input command; resolving the input command into a data string; determining, based on the digital request data object and the data string, intent data; and generating based on the intent data, a first set of operation recommendations comprising a first operation recommendation. The methods also include determining an application programming interface (API) associated with the first application; connecting the API to the first application; and executing the first operation recommendation to generate a computing operation result; and rendering the computing operation on a single graphical interface comprising a consolidation of a plurality of graphical interfaces associated with the first set of computing operation recommendations.