Abstract: A method includes providing a neural network with metrics obtained from an execution of an application in a test environment to determine rule-related weights, scaling rule results with the rule-related weights to determine scaled rule results. The method also includes re-training the neural network with the rule results of the application, an indication that the executed application is selected for deployment in the production environment, and rule results of other applications in the test environment in response to a determination that the scaled rule results fail a threshold but that the application is selected for deployment in a production environment. The method also includes providing the re-trained neural network with the rule results to generate updated rule-related weights and scaling the rule results by the updated rule-related weights to determine updated scaled rule results.

Abstract: An autonomous agent operating method, system, and computer program product, including launching a first autonomous agent for a task with an initial update interval and adjusting the initial update interval for a second autonomous agent based on a second task for the second autonomous agent being similar to the task over time in relation to a trust level of a human user in a performance of the first autonomous agent.

Abstract: There is provided mechanisms for providing information about peer communication devices to a network node. A method is performed by a first peer communication device. The method comprises exchanging, with a second peer communication device over a device-to-device connection, any timestamped identity information and location information about other peer communication devices as previously exchanged with at least one peer communication dev ice other than the second peer communication dev ice. The method comprises adding to the timestamped identity information and location information, timestamped identity information and location information about the second peer communication device as obtained from the second peer communication dev ice. The method comprises forwarding the timestamped identity information and location information to a network node upon network access to the network node.

Abstract: An intention detection mechanism detects a target user accessing an operational context and accesses sensor data collected by a plurality of sensors encoding signals describing one or more characteristics of the target user and surroundings of the target user. The intention detection mechanism converts the accessed sensor data into a multi-channel sensor data time series, where each channel represents a characteristic of the target user. The intention detection mechanism compares the sensor data time series to a multi-channel intentionality template to determine whether the sensor data time series contains the multi-channel intentionality template. The multi-channel intentionality template describes characteristics indicative of an intent of a target user accessing the operational context. If the sensor data time series contains the multi-channel intentionality template, the intention detection mechanism communicates a signal confirming that the target user intended to access to the operational context.

Abstract: The disclosed technology involves autonomously identifying goals and sub-goals from a user utterance and generating responses to the user based on the goals and sub-goals.

Abstract: A method for operating a system of the iron and steel industry for producing a metal product with participation of a severing or forming device. The actual value of an indicator be calculated over a length section of the metal product for the metal product to be produced. The indicator represents the resistance of the metal product to severing or forming processes. The calculated actual value pIst for the indicator p is then compared to a predefined threshold value. The severing or forming also only actually takes place when the actual value of the indicator of the metal product is less than the threshold value. If a comparison should show that the actual value of the indicator is greater than the threshold value, before the severing or forming of the metal product, a local processing of the metal product is performed in the corresponding length section.

Abstract: A data processing system includes: a processor; a memory containing programming instructions for execution by the processor; and a network interface for communicating with an Artificial Intelligence (AI) engine. The programming instructions include an application for generating written content, the application having a function to generate and submit a structured query regarding the written content to the AI engine to generate feedback on an assessed quality of the written content, the structured query structured to prompt for feedback in a variety of specified categories for the written content. The application further includes a user interface to display the feedback on the written content and provide an option to a user to implement the feedback to revise the written content.

Abstract: A computer-implemented method/system/instructions of automatic margin line proposal includes receiving a 3D digital model of at least a portion of a jaw, the 3D digital model including a digital preparation tooth; determining, using a first trained neural network, an inner representation of the 3D digital model; and determining, using a second trained neural network, a margin line proposal from a base margin line and the inner representation of the 3D digital model.

Abstract: A method for monitoring a running state of a distributed system, an electronic device, and a storage medium are provided. The method comprises: acquiring a first calling key-value pair sent by a first component in a distributed system (101); and determining the current running state of the first component according to a first keyword value, and historical calling data corresponding to a first key code value in a preset database (102).

Abstract: Disclosed embodiments include a computer readable medium that includes instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method includes: receiving from a user an identification of different text segments; receiving from the user an indication of a type of document to generate based upon the plurality of different text segments; analyzing the plurality of different text segments; identifying concepts conveyed by the plurality of different text segments; determining an ordering for the identified concepts to be used in generating an output text; generating the output text based on the determined ordering for the identified concepts, wherein the generated output text conveys each of the identified concepts and includes one or more text elements not included in any of the plurality of different text segments; and causing the generated output text to be shown on a display.

Abstract: Expert systems and methods determine the status of an entity in relation to one or more legal provisions. The one or more legal provisions are defined by one or more rules, which are evaluated using input data from a user which comprises attribute data related to the entity. The status of the entity is determined using the one or more rules and input data and is returned to the user.

Abstract: An information processing apparatus includes a controller configured to acquire, when a suspension of operation occurs in an autonomous vehicle, positional information, vehicle information, a vehicle internal image, and a vehicle external image of the autonomous vehicle, and determine, in a case in which a suspension of operation occurs in a plurality of autonomous vehicles, an order of priority for a rescue team to go to the plurality of vehicles, based on the positional information, the vehicle information, the vehicle internal image, and the vehicle external image.

Abstract: The present disclosure is directed to analyzing received sets of computer data. Methods and apparatus consistent with the present disclosure may forecast that a received set of computer data does not include malware after allowing instructions included in that set of computer data to execute for an amount of time that does not exceed an allocated amount of time. Methods consistent with the present disclosure may instrument a set of received program code and allow instructions in that received set of program code to execute as instrumentation code collects information about the set of program code. This collected information may be compared with sets of known good data when determining whether a received set of program code is likely not to include malware. This collected information may be associated with “behaviors” performed by the received set of program code that may be identified using sets of contextual data.

Abstract: The system and method of the present disclosure uses the artificial intelligence in the model driven framework to bring productivity benefits in the model driven application development. It comprises an easy to use user interface to share context-specific questions to a user and to capture their responses. The system performs its user interactions based on the user's responses and the output from the recommendation module which are based on application models, user interaction history and the system usage pattern. The system interprets user inputs as one or more actions to be executed with the help of usage patterns in the model database and executes them and performs error identification and recovery when required. The results of execution or error recovery along with recommendations for subsequent actions are communicated back to the user through recommendation module.

Abstract: In accordance with some embodiments, systems, apparatus, interfaces, methods, and articles of manufacture are provided for ascertaining aspects of a presentation and/or of an audience member. A presentation remote can be used to obtain information about the presentation and provide it to the audience member. In some embodiments, a presentation remote may determine if an earlier meeting is running late. If so, the system may alert current attendees.

Abstract: A machine learning (ML) model is used to identify successful outcomes in computer games based on aggregated game metadata including activity, mechanics, actors, statistics, and zones or locations. A strategy includes how a player over time used a character (actor) to employ one or more mechanics (weapons, vehicles) to execute various activities in various zones or locations in a computer game, with strategies being graded for success. Good strategies are then surfaced to subsequent players by, e.g., advising a player to seek a better location in a game, employ a different mechanic based on the game zone the player's character is in such as employ a different car or car configurations, employ a plane, a particular weapon, etc.

Abstract: Various aspects of the present disclosure involve computing environments that provide third-party access-control support. For instance, an access-control computing system can access a secure identity repository having role history data from various contributor computing systems. The access-control computing system can compare an identified set of roles with a set of roles described by role history data for a target entity. The access-control computing system can determine, from the comparison, whether the target entity poses a security risk based on inconsistencies between the sets of roles, durations associated with the roles, or both. The access-control computing system can provide a client computing system with a dynamic access-control data structure that is generated based on the comparison. The dynamic access-control data structure allows the client computing system to output the security assessment to an end user or to otherwise facilitate further security measures with respect to the target entity.

Abstract: According to one embodiment, an information processing apparatus includes: a difference calculator configured to calculate, based on a plurality of data items each including an objective variable and at least one explanatory variable, a plurality of differences between the objective variable and prediction values of the objective variable predicted from the explanatory variable; a candidate generator configured to generate at least one division condition candidate which divides the explanatory variable into a plurality of sections; and a division condition selector configured to select a first division condition from the at least one division condition candidate, based on the differences calculated by the difference calculator.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for distributing digital data. In some embodiments, a server receives a request to distribute digital data to be consumed by a plurality of users. The request indicates that the digital data is to be distributed based on a plurality of parameters and a plurality of resources. The digital data is associated with a digital file. The server identifies an opportunity to distribute the digital data based on a first parameter and a volume of installs of the digital file. Moreover, the server causes the digital data to be distributed such that the digital data is available to be output to the second set of devices using a set of resources based on a limit on resources for the opportunity and the first parameter.

Abstract: A system to create new automation routines includes a processor to: Over time, store a group of actions taken by a group of agents within applications. From the stored group of actions, identify a repeating pattern of actions in a subset of the applications, and construct a binary vector, each position within the binary vector storing a 1 for an occurrence of any action within any application of the subset, and a 0 otherwise. From the binary vector and the repeating pattern, extract a sentence including at least one action within at least one application. Based on the repeating pattern, an application type, or a business goal, create a constraint. If the sentence meets the constraint, accept the sentence and add it to a pool of accepted sentences. From the pool of accepted sentences, identify a pattern of occurrences of the accepted sentence, and create a new automation routine.

Abstract: An architecture for assessing and identifying fraudulent contact with client contact systems, such as IVR, includes threshold and machine learning scoring and filtering of calls based on these criteria. The criteria may include behavioral, situational and reputational scoring.

Abstract: A method and system for detecting relevant potential participating entities across different databases.

Abstract: A method (900) and system (150) for delivering media content to users is disclosed. A request for a playback URL in relation to a content title is received from an electronic device (104) associated with a user (102). At least a network Autonomous System Number (ASN), an IP address and a content ID are extracted from the request. A location of the user (102) is determined based on the network ASN and the IP address. Relevant Content Delivery Networks (CDNs) are identified based on the location and the content ID. An optimal CDN is selected based on at least one performance statistic and at least one predefined routing policy. The playback URL is provided to the electronic device (104) in response to the request for the playback URL. The playback URL is configured to facilitate display of content associated with the content title on the electronic device (104).

Abstract: Systems and methods managing, by an orchestrator, a plurality of agents to generate a response to an input. The orchestrator employs one or more multimodal models such as a large language models to process or deconstruct the prompt into a series of instructions for different agents. Each agent employs one or more machine-learning models to process disparate inputs or different portions of an input associated with the prompt. The system generates, by the orchestrator, a natural language summary of the structured and unstructured data records. The system formulates output and transmits the natural language summary of the data records.

Abstract: Devices and systems for environmental state estimation and decision-making, including an agent device with a plurality of internal sensors and a microprocessor with an agent program, configured to send and receive electronic communications to and from a plurality of external sensors and other agent devices. The agent device predicts the state of its environment at a time and location according to an internal model of the local environment, selectively samples the state of its environment at the time and location by receiving observations about objects and/or action in said environment, determines any environmental state prediction errors, determines the source or sources for any environmental state prediction errors; and updates its internal model. The agent device may initiate action based on its observations and/or predictions.

Abstract: This invention predicts results for a media clip posted to a social media influencer channel by maintaining a database of results data for media clips where an influencer channel includes media clips that include unstructured data, and structured data, and then provide to a first machine learning model a first set of channel data, extracting a first set of features, predicting a value for the first target variable, providing to a second machine learning model a second set of channel data including a second selection of structured data, and the predicted value of the first target variable, extracting a second set of features, and predicting a value for the second target variable.

Abstract: A system, method, and apparatus for implementing workflows across multiple differing systems and devices is provided herein. During operation a workflow for a first camera is automatically suggested, or a new workflow generated for the first camera, based upon a workflow being created for a second camera having a similar field of view as the first camera. In particular, a workstation (or server) will receive an indication that a workflow was created for a camera. The workstation (or server) then determines if any other cameras have similar field of views. New workflows will then be suggested (or implemented) for the cameras having similar field of views. The suggested/implemented workflows will have a similar trigger and a similar action.

Abstract: A system and method to provide computer support for a meeting of invitees comprises accessing one or more sensory data streams providing digitized sensory data responsive to an activity of one or more of the invitees during the meeting, the one or more sensory data streams including at least one audio stream. The method also comprises subjecting the at least one audio stream to phonetic and situational computer modeling to recognize a sequence of words in the audio stream and to assign each word to an invitee, subjecting the sequence of words to semantic computer modeling to recognize a sequence of directives in the sequence of words, and releasing one or more output data streams based on the sequence of directives, the one or more output data streams including one or more notifications.

Abstract: Systems and methods of the present disclosure provide processes for determining how much to adjust machine-learning parameter values in a direction of a gradient for gradient-descent steps in training processes for machine-learning models. Current parameter values of a machine-learning model are vector components that define an initial estimate for a local extremum of a cost function used to measure how well the machine-learning model performs. The initial estimate and the gradient of the cost function for the initial estimate are used to define an auxiliary function. A root estimate is determined for the auxiliary function of the gradient. The parameters are adjusted in the direction of the gradient by an amount specified by the root estimate.

Abstract: An object of the present invention is to provide an information provision system and an information provision method by which a user is able to easily acquire desired knowledge data. In an information provision system 1, a suggestion server 400 stores question text strings associated with response contents in advance, receives an input text string input by a user 10 by using a user terminal 100, performs morphological analysis for the input text string and each of the question text strings, calculates a score indicating to what extent each of the question text strings is related to the input text string based on results of the morphological analysis for the question text strings and a result of the morphological analysis for the input text string, and causes the user terminal 100 to display at least one of the question text strings. The score of the at least one of the question text strings satisfies a predetermined condition.

Abstract: In an embodiment, operations include receiving first information associated with a first person and a first request of the first person to one or more institutions. A set of attributes of the first person is extracted and used to construct a causal model. The causal model represents causal relationships amongst attributes of the set of attributes. For the first person, a utility function associated with each of a plurality of AI models associated with the one or more institutions is determined. The utility function is determined based on the causal model, a first set of empathy criteria associated with the first person, and a second set of empathy criteria associated with each of the one or more institutions. For the utility function, optimin-point information is determined to reconcile a plurality of decisions taken by the plurality of AI models for the first request. The reconciled decision is rendered.

Abstract: Classifying wafers using Collaborative Learning. An initial wafer classification is determined by a rule-based model. A predicted wafer classification is determined by a machine learning model. Multiple users can manually review the classifications to confirm or modify, or to add user classifications. All of the classifications are input to the machine learning model to continuously update its scheme for detection and classification.

Abstract: In one embodiment, a system includes a wafer-handling system of a semiconductor-manufacturing system. The wafer-handling system is configured to hold one or more wafers for processing. The system also includes one or more processing components configured to physically treat the one or more wafers; a controller configured to operate the processing components; and a text bot in communication with the semiconductor-manufacturing system and configured to respond to a user inquiry.

Abstract: A data processing device that processes measurement data for power storage elements, said device comprising: a storage unit that stores a determination model trained so as to output a score corresponding to whether, upon the input of measurement data measured for each of the power storage elements or for each power storage element group formed by grouping a plurality of the power storage elements, measurement data from a non-conforming power storage element is included in said measurement data; and an identification unit that inputs acquired measurement data into the determination model, and identifies measurement data from a non-conforming power storage element on the basis of the outputted score.

Abstract: Methods, systems, and computer-readable media for multi-domain, multi-modal data segmentation, and automatically generating and refining hypotheses. The method receives data from a plurality of data sources; synthesizing the receive data; identifying trigger event data based on the synthesized data; generating an episode based on a segmentation of the synthesized data and trigger event data; and identifying at least one set of observational features associated with the episode based on the synthesized data and a relevancy metric. The method also includes iteratively generating a hypothesis based on the observational features using machine learning, predicting an outcome based on the hypothesis using machine learning, generating an outcome measure, and validating the hypothesis based on the outcome measure.

Abstract: A method and a system for providing actionable smart monitoring of error messages generated during repave microservice operations in order to reduce the number of human interventions required are provided. The method includes: receiving reports that relate to system failures; analyzing each report to determine features that relate to the system failures; clustering the features into a set of feature groups; determining a corresponding report as a representative error indicator for each respective feature group; and generating, for each respective feature group, a cluster representative message that identifies the corresponding report. The cluster representative messages are then displayable on a user interface to facilitate efficient user action to address system failures and errors.

Abstract: A method for ascertaining an emotional goal includes receiving, via an emotionally responsive computerized system having a user interface communicatively coupled to a networked user device including a processor device, user-input concerning a purpose of a user's interaction with a software interface. It can include registering input indicating a target person to whom the purpose of the user's interaction pertains and prompting the user to provide a root motivator comprising a root emotion or a root reason for the interaction. Some variations include generating a user-perceptible output and a set of user interface elements dependent on the root motivator along with obtaining the user's specific emotional goal with respect to the target person on the basis of user-inputs in response to a presentation of a sequence of user interface elements, to provide the user, via the software interface, a recommendation regarding a fulfillment of the specific emotional goal.

Abstract: A device may receive log data from application logs associated with applications, service logs associated with services, and server logs associated with server devices. The device may store the log data. The device may perform natural language processing on the log data to convert the log data into event data identifying events associated with categories. The device may process the event data, with a first machine learning model, to identify patterns in the event data and to generate an alert based on the patterns. The device may process the event data, with a second machine learning model, to generate a correlation matrix for the event data and to predict an event based on the correlation matrix. The device may process the event data, with a third machine learning model, to classify the event data based on the categories and to generate a recommendation based on classifying the event data.

Abstract: A processor may transcribe an electronic representation of a dialogue. The processor may identify one or more question-answer pairs from the electronic representation. The processor may generate based upon the one or more identified question-answer pairs a summary of the dialogue. The processor may display the summary of the dialogue to a user.

Abstract: A system and method for resolving contradictory device profiling data. The method includes: determining a set of non-contradicting values and a set of contradicting values in device profiling data related to a device based on a plurality of conflict rules; merging values of the set of non-contradicting values in device profiling data into at least one first value; selecting at least one second value from the set of contradicting values, wherein selecting one of the at least one second value from each set of contradicting values further includes generating a certainty score corresponding to each value of the set of contradicting values, wherein each certainty score indicates a likelihood that the corresponding value is accurate, wherein the at least one second value is selected based on the certainty scores; and creating a device profile based on the at least one first value and the at least one second value.

Abstract: In accordance with one or more embodiments of the invention, a method is provided for re-tiering files and folders located in a cloud-based file system without crawling all the files and folders in the cloud-based file system. The method utilizes the meta-data for the files and folders to determine, based upon provided rules, which tier a file or folder should be assigned to. By utilizing the meta-data, the use of expensive cloud resources may be minimized when there is a need for re-tiering the files and folders into appropriate cloud tiers.

Abstract: A method for network flow metadata processing at a network packet broker is described herein. The method includes, receiving, as input at a network packet broker, network traffic flow data, aggregating the network traffic flow data over a predefined time period to generate Internet protocol (IP) flow feature vectors containing metadata parameters associated with one or more particular endpoint devices, and providing the IP flow feature vectors to a machine learning element in the network packet broker. The method further includes identifying, by the machine learning element, anomalies existing in the metadata parameters included in the IP flow feature vectors, and automatically configuring one or more filter elements in the network packet broker in response to detecting the identified anomalies of the IP flow feature vectors.

Abstract: There are provided systems and methods for reducing account churn rate through intelligent collaborative filtering. A user may utilize an online account with the service provider to perform various actions and generate account usage data, such as usage of various service subcategories of the service provider or different subcategorizations for the user. Based on the current user's usage of services and other subcategorizations of the user, the user may be compared to other past users that have left the service provider utilizing collaborative filtering for matching users and user vectorization. For example, a matrix of the past users may be made based on the number of matching user that fall into the same categorizations. Each row of the matrix may be vectorized and compared to current user. If this comparison indicates potential attrition of the account, a remediation action may be taken.

Abstract: A building management system (BMS) includes one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations including using the operating data to evaluate one or more fault detection rules to determine whether at least one of the plurality of building devices is experiencing a fault condition, in response to determining that at least one of the plurality of building devices is experiencing the fault condition, determining an amount of carbon emissions generated due to the fault condition based on a fault emissions model associated with the fault condition and initiating an automated response based on the amount of carbon emissions associated with the fault condition.

Abstract: Aspects described herein may allow displaying of augmented reality content items associated with selected vehicle models, as well as price or budget information associated with the displayed vehicle to facilitate the user to make purchasing or financing decisions. For example, a computing device may detect a plurality of physical anchors attached to a vehicle husk and determine location information for each of the plurality of physical anchors. The computing device may receive one or more augmented reality (AR) content items corresponding to one or more vehicle features for the selected vehicle model and display via an AR interface, the one or more AR content items positioned relative to the vehicle husk based on the location of each of the plurality of physical anchors, as well as a price associated with the selected vehicle model having the one or more vehicle features.

Abstract: Systems and methods of reconfiguring machine learning models are disclosed. A method includes receiving, by a server computer, external data and determining, by the server computer, a machine learning model from a plurality of machine learning models, based on the external data. The plurality of machine learning models are in standby mode. The server computer configures an AI engine with the machine learning model. The method also includes receiving, by the server computer, a prediction request from a client computer, processing the prediction request with the AI engine to form a prediction response, and sending the prediction response to the client computer.

Abstract: Methods and systems are described herein for updating cybersecurity enforcement rules in real-time over disparate computer networks. A rule enforcement system may receive a real-time data stream. The real-time data stream may include real-time communications requiring cybersecurity verification. Real-time data communications are processed through a first rule repository. In response to determining that rule updates to rules within the first rule repository are available, a second rule repository is retrieved and brought online. Previously received real-time communication data is processed with the first rule repository and new real-time communication data is routed to the second rule repository. When previously received real-time communication data has been processed, the first rule repository is disabled.

Abstract: Pure machine learning classification approaches can result in a “black box” solution where it is impossible to understand why a classifier reached a decision. This disclosure describes generating new classification rules leveraging machine learning techniques. New rules may have to meet evaluation criteria. Legibility of those rules can be improved for understanding. A machine learning classifier can be created that is used to identify possible candidate classification rules (e.g. from a group of decision trees such as a random forest classifier). Classification rules generated with the assistance of machine learning may allow for identification of transaction fraud or other classifications that a human analyst would be unable to identify. A selection process can identify which possible candidate rules are effective. The legibility of those rules can then be improved so that they can be more easily understood by humans.

Abstract: An item recommendation control platform is disclosed. The item recommendation control platform presents an administrative user one or more user interfaces at which recommendation rules may be defined. Each of the recommendation rules may be associated with one or more nodes within a retail website, such as an item detail page or an item category page. The recommendation rules may be selected, defined, and prioritized, such that one or more item recommendation rules may be reflected within a given item recommendation presented on a retail website. The item recommendation rules can include one or more filters, the filters controlling which items may be recommended to a given user based, for example, on item availability or shipping availability.

Abstract: An interface is rendered on a user-operated device. Selections are made with respect to a first set of options by the user operating the interface. A list of potential food dishes for further selection by the user is presented within the interface based on the selections. A food dish selection is received from the user through the interface. A recipe for the selected food dish is generated and presented within the interface based on the food dish selection and a list of ingredients needed for the recipe are generated as a shopping list for the user to obtain at a store. In an embodiment, a navigation route to obtain the ingredients within the store is provided to the user when the user is at the store, allowing the user to traverse the route within the store and obtain each of the ingredients.