Abstract: The invention is direct towards generating an expert template. The expert template is associated with an expert who can help guide a user. A user is associated with user goal data and a user goal. A user goal is an objective that the user wants to complete. A user is matched with an expert that matches the expert's field of expertise with the user's goals. An expert may provide input to the user regarding guidance and goals.

Abstract: Techniques, methods, systems, and devices for diagnostic assessment of a respondent are described. The techniques for diagnostic assessment may use a classification model to characterize multiple dimensions of the respondent. The classification model may characterize the respondent as having an attribute (e.g., unobserved variable) that is measured by one or more outcomes (e.g., observed variables). The outcomes may be based on responses received from the respondent to items on an assessment. The classification model may also characterize one or more item parameters associated with the items of the assessment.

Abstract: A method is provided for output validation of data processing systems, performed by one or more processors. The method comprises performing a data comparison between a first data table and a second data table to determine a data differentiating table, wherein the first data table is based on an output of a first data pipeline, and wherein the second data table is based on an output of a second data pipeline; performing a schema comparison between the first data table and the second data table to determine a schema differentiating table; generating a first output validation score based on the data differentiating table; generating a second output validation score based on the schema differentiating table; and generating a summary comprising both the first and second output validation scores.

Abstract: An event subscription notification method, including: creating a subscription resource, the subscription resource including an event notification rule; determining whether subscribed data meets the event notification rule; and when the subscribed data meets the event notification rule, generating an event notification.

Abstract: A disclosed system for transport asset monitoring, for example monitoring truck trailer unloading progress at large retail locations, includes an artificial intelligence (AI) solution for managing operations at a facility. The AI solution analyzes current load percentage and other data to predict availability for moving the transport asset and ability to accept a new incoming transport asset. Predictions of availability can reduce response times, resulting in higher utilization rates for assets, thereby improving efficiency. An exemplary system includes a sensor configured to sense operation progress parameter data for a transport asset; and logic to receive the operation progress parameter data from the sensor; determine, using the AI solution and based at least on the operation progress parameter data, a predicted milestone parameter; and report the predicted milestone parameter to a remote node.

Abstract: Examples disclosed herein relate to generation of document editors having functions specified by role policies. Examples include acquisition of a request to provide a target user a document editor for a target document type and a determination, in response to the request, of which of a plurality of role policies is associated with the target user based on a role assigned to the target user in an enterprise, wherein each of the role policies is associated with a different role for the enterprise and specifies a different plurality of document editor functions permitted to be included in a document editor for the target document type for a user assigned to the associated role.

Abstract: A computer system is configured to receiving a data set from a data provider and automatically save the data set in a quarantine database where copying, moving, and sharing of the data set are restricted until the data set is released by a data provider. The data set is parsed to find and mark portions with potentially sensitive information. At least those parts are reviewed by a data governor, who can confirm, add, edit, or remove markers. Those parts can be visually indicated to the data governor, along with a preview of, metadata about, and analysis of the data set. After reviewing at least the automatically marked portions, the data governor can release the data set to a non-quarantine database where another user can use the data set. The user is restricted from accessing the quarantine database.

Abstract: A human-powered vehicle component includes an input device, to which first information related to at least one of a human-powered vehicle, a rider of the human-powered vehicle, and environment of the human-powered vehicle is input. The human-powered vehicle component further comprises an electric actuator and an artificial intelligence processor configured to generate second information for controlling the electric actuator in accordance with the first information input to the input device.

Abstract: Techniques are provided for improving computers as tools for assisting in negotiations. Specifically, techniques are provided for using a trained machine learning system to predict the likelihood that a party to a negotiation intends to comply with terms that are under consideration. In some negotiations, each party of a negotiation may use the techniques described herein to determine terms to offer the other party. In such situations, both parties may be both terms-receiving parties and terms-offering parties. By using a trained machine learning system to predict the intent of a party, the possibility of human bias significantly reduced, allowing proposed terms to be based more on objective facts and predictive indicators rather than the prejudices of the agents that have been delegated the responsibility of proposing terms.

Abstract: An expert interface component can automatically connect a system user with a system support expert. A user interface module can present a threat-tracking graphical user interface and a query interface component integrated into the threat-tracking graphical user interface to a system user belonging to a client team to review a potential cyber threat and receive a query for assistance. The query interface component can allow the system user to digitally grab a visual data container displaying information and containing a data object. The query interface component can collect the visual data container from the threat-tracking graphical user interface into a collection window of the query interface component. A communication module provides an incident ticket containing the query and the visual data container to a system support expert at a remote platform.

Abstract: Database management includes processing a database object in accordance with a processing request, determining a mode of processing from the processing request, and, responsive to determining that the mode of processing satisfies an application condition, changing content of the processing in accordance with a rule associated with the application condition using a processor.

Abstract: An artificial intelligence calculation semiconductor device is provided. The artificial intelligence calculation semiconductor device comprising: a control unit; and a MAC (Multiply and Accumulator) calculator which executes a homomorphic encryption calculation through the control unit, wherein the MAC calculator includes an NTT (Numeric Theoretic Transform)/INTT (Inverse NTT) circuit which generates cipher texts by performing a homomorphic multiplication calculation through transformation or inverse transformation of data, a cipher text multiplier which executes a multiplication calculation between the cipher texts, a cipher text adder/subtractor which executes addition and/or subtraction calculations between the cipher texts, and a rotator which performs a cyclic shift of a slot of the cipher texts.

Abstract: Techniques are described herein that are capable of providing a recommendation of an admin change (i.e., an admin change recommendation) in an enterprise. A type of intended admin change that an administrator is to perform with regard to an enterprise is determined. The type is cross-referenced with information indicating admin changes made by administrator(s) in environment(s) of enterprise(s) and values of metrics resulting therefrom to identify subsets of the information to which the type corresponds. A causal relationship is inferred between admin change(s) made after an admin change of the type and an increase in value(s) of metric(s) that are indicated by information in the subsets. A recommended admin change is recommended to be performed by the administrator based at least in part on a causal relationship between the recommended admin change and an increase in at least one of the value(s) of at least one of the respective metric(s).

Abstract: The present disclosure generally relates to interview training and providing interview feedback. An exemplary method comprises: at an electronic device that is in communication with a display and one or more input devices: receiving, via the one or more input devices, media data corresponding to a user's responses to a plurality of prompts; analyzing the media data; and while displaying, on the display, a media representation of the media data, displaying a plurality of analysis representations overlaid on the media representation, wherein each of the plurality of analysis representations is associated with an analysis of content located at a given time in the media representation and is displayed in coordination with the given time in the media representation.

Abstract: Database systems and related customization methods are provided. One exemplary method of modifying a database to support a new functionality involves receiving user input indicative of the new functionality from a client device coupled to a network, identifying existing customizations associated with a user of the client device in the database, determining a plurality of different solutions for implementing the new functionality based at least in part on the existing customizations associated with the user, providing a graphical user interface display at the client device including graphical indicia of the plurality of different solutions for implementing the new functionality, and in response to receiving indication of a selected solution of the plurality of different solutions from the client device, automatically instantiating a new customization corresponding to the selected solution in the database.

Abstract: Embodiments of apparatus, systems, and methods are described for creating and managing an abstract, API-based infrastructure base model. The API-based model can abstract infrastructure assets, such as infrastructure components or connections between components, into a metadata model using standardized syntax and interfaces, for defining and building an infrastructure. Using a modeling document, connections and components of an infrastructure can be abstracted into an API-based model having semantics that covers them all. Connections and infrastructure components can be made available for selection, arrangement, and grouping to build complex infrastructure models without requiring complex API coding by the user. Other infrastructure models having different API definitions can be by abstracted to standardize the assets for building new APIs. The APIs can be further modified and exported to another or the same implementation project.

Abstract: A method and an invoice analytics system (IAS) for analyzing an entity's business service transactional invoice data (BSTID) and performing invoice analytics (IA) in real time and/or at weekly, monthly intervals are provided. The IAS extracts contract line item (CLI) data from contracts and stores the CLI data in a CLI database. The IAS transforms the CLI data into a quick view format and generates a contract quick view interface that displays the CLI data. The IAS extracts and segments invoice line item (ILI) data from aggregated BSTID, stores the ILI data in an ILI database, and reconciles the invoices in accordance with the contracts by identifying and rectifying errors and off-contract business service items. The IAS performs IA on the ILI data for computing cost savings and generates an interactive, dynamic, and searchable IA report including graphical data representations of purchase patterns, outliers, variations, and predictive analytics.

Abstract: Disclosed is a system for managing corporate information, including at least one database configured to store a set of corporate information, a set of corporate templates, and a set of interconnected corporate records, a record bank module coupled to the database and configured to receive record generation requests and create records, a corporate logic module connected to the record bank module setting out a set of logic rules relating to a set of corporate governance compliance requirements, and a clerk module coupled to the database and the record bank module and configured to file created records with third parties. Also disclosed are a method of maintaining a corporate document collection and a method of ongoing monitoring of corporate compliance requirements and the generation and submission of documents to meet those compliance requirements.

Abstract: An n-steps-ahead value of time-series data is estimated by a prediction model configured to output a sum of discounted m-th order differences of adjacent time steps at each time step, wherein an m-th order difference at a corresponding time step is discounted by using a discount factor such that an m-th order difference discount increases as a time step of the m-th order difference increases.

Abstract: Technology is described for surfacing contextually related resources to a player of a video game by way of a surfacing platform. In a method embodiment, an operation processes a query from a player of a video game that is related to completing an objective. The method includes operations for processing game data of the player for determining a current state and processing game data of other players that have completed the objective. The method further includes operations for identifying successful attempts of completing the objective by other players and the resources used in doing so. The method selects a resource that is usable by the player to complete the objective based on those resources by the other players in the successful attempts and presents the resource to the player for immediate use.

Abstract: A device configured to receive a request for processing a digital document that identifies a target data structure. The device is further configured to obtain the digital document and to process the digital document to identify objects within the digital document. The device is further configured to input the digital document into a machine learning model that is configured to output contextual metadata for the digital document based on the digital document. The contextual metadata describes attributes of the identified objects within the digital document. The device is further configured to populate a first subset of entries in the target data structure with identifiers for the objects identified within the digital document and to populate a second subset of entries in the target data structure with the contextual metadata. The device is further configured to send the populated target data structure to the network device.

Abstract: A computer program predictor is described which has a processor configured to access a program attribute predictor; and a memory storing a search component configured to search a space of possible programs, to find a program which, given an input data instance and an output data instance, will compute the output data instance from the input data instance, the search being guided by attributes predicted by the attribute predictor given the input data instance and the output data instance.

Abstract: Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.

Abstract: A risk management method, system, and non-transitory computer readable medium, include a data analyzing circuit configured to analyze user data, site data, and equipment data to map prior behavior types to an event on a site, a relationship determining circuit configured to determine a relationship between the mapped data and the event based on behaviors exhibited by the user and an impact on a performance factor and a risk factor, and a reinforcement learning circuit configured to use reinforcement learning to learn the performance factor to the risk factor ratio to optimize an overall site productivity.

Abstract: The disclosed computer-implemented method for preventing social engineering attacks using distributed fact checking may include (i) capturing one or more words or tones received by a party to a communication, (ii) extracting speech features associated with the words or tones to identify one or more alleged facts in the communication, (iii) generating one or more queries to verify the alleged facts in the communication, (iv) determining, utilizing distributed fact checking, whether the alleged facts are true based on the queries, and (v) performing a security action that generates an alert to protect against a potential social engineering attack on the receiving party when at least one of the alleged facts are determined to be false. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: This document relates to training of machine learning models. One example method involves providing a machine learning model having one or more mapping layers. The one or more mapping layers can include at least a first mapping layer configured to map components of pretraining examples into first representations in a space. The example method also includes performing a pretraining stage on the one or more mapping layers using the pretraining examples. The pretraining stage can include adding noise to the first representations of the components of the pretraining examples to obtain noise-adjusted first representations. The pretraining stage can also include performing a self-supervised learning process to pretrain the one or more mapping layers using at least the first representations of the training data items and the noise-adjusted first representations of the training data items.

Abstract: Techniques for optimizing and deploying convolutional neural network (CNN) machine learning models for inference using integrated graphics processing units are described. A model compilation system optimizes CNN models using optimized vision-specific operators as well as both graph-level tuning and tensor-level tuning to explore the optimization space for achieving heightened performance. The model compilation system may also implement a heuristic-based two-stage technique for falling back certain operators of CNN models to use CPUs when needed or otherwise beneficial.

Abstract: A system may receive a cluster prediction requirement. The system may determine a first node conglomerate by sorting a first dataset into a first plurality of nodes. The system may determine a plurality of attributes by sorting a second dataset associated with the cluster prediction requirement. The system may determine a second node conglomerate for each of the plurality of attributes. A node confidence score may be assigned to each of the second plurality of nodes. The system may determine a node graph based on a comparison between the first node conglomerate and the second node conglomerate. The node graph may be iteratively modified based on a node optimization threshold value to generate a harmonized node graph. The node optimization threshold value may be based on a map confidence score allotted to the node graph.

Abstract: Techniques are provided for assessing uniqueness of information using string-based collection frequency techniques. One method comprises obtaining multiple collections of documents from at least one data source; determining a collection frequency for a given character string based on a number of the collections comprising the given character string relative to a total number of the collections; assigning a uniqueness rating to the given character string based at least in part on a comparison of the collection frequency of the given character string to a collection frequency of one or more additional character strings in one or more of the plurality of collections; and performing an automated action using the given character string based on the assigned uniqueness rating. The automated action may comprise protecting the given character string and/or identifying the given character string as important information satisfying one or more importance criteria.

Abstract: A system and a method for media streaming from multiple sources are disclosed. A content requesting client device accesses a server to receive a list of available sources that may include multiple Content Delivery Networks (CDNs) and independent servers. Based on a pre-set criteria, such as the source delivery performance and cost, the client device partitions the content into parts, allocates a source to each part, and simultaneously receives media streams of the content parts from the allocated sources. The server may be a Video-on-Demand (VOD) server, and the content may be a single file of a video data, such as a movie. The delivery performance of the used sources is measured during the streaming for updating the partition or the allocation. The updated measured performance may be stored locally at the client device, or at a server for use by other clients. The client actions may be implemented as a client-side script.

Abstract: A system (100) and a method for analyzing a physiological condition of a user. The system (100) comprises one or more sensors (102a, 102b) to measure one or more parameters including temperature and relative humidity from the user's skin and/or a corresponding temperature and relative humidity from the user's environment via an air gap. A signal representative of the measured parameters is generated. The system (100) also includes at least one transceiver (108) communicably connectable to the sensing unit (102) via one or more communication interfaces, wherein the transceiver (108) is configurable to analyze one or more received signals to initiate one or more events based on the analyzed parameters of the user. The system (100) further includes a processing unit (110) to receive one or more signals from the transceiver (108) and uses artificial intelligence and machine learning techniques to alert users of an impending physiological condition.

Abstract: A computing device comprising a display screen, the computing device being configured to decompose a media recording into a plurality of media recording salient events, apply each of the media recording salient events to a reinforcement model, display on the display screen (i) a mapping of the plurality of media recording salient events and (ii) for at least one of the plurality of media recording salient events, at least one selectable next best action, the computing device further configured to replace at least one of the plurality of media recording salient events with at least one selectable next best action to create a derivative media recording including at least one replacement media recording action.

Abstract: A decision making method configured to facilitate a decision process wherein the method of the present invention provides the ability for a user to progress through the decision making process in incremental layers. The present invention in its preferred embodiment is embodied in software application that is operable via a graphical interface presented to a user on a conventional computing device or as a software application on a mobile computing device. The method of the present invention includes the presentation of an inquiry wherein the inquiry answer is utilized to establish the scenario parameters for the desired outcome or objective. The present invention provides a repository of answers and of resources wherein the answers and resource selections provided are selected by a user in each incremental layer of the decision making process. The present invention provides categorization of each layer scenario and present answers and resources based on the categorization.

Abstract: Provided are techniques for data search with automated selection of one or more AI inference models and inference label indexing. Metadata for a data object that is stored in a data source is retrieved. The metadata is matched to filtering criteria. The filtering criteria is used to identify an Artificial Intelligence (AI) inference model. The data object is sent to an inference engine for the AI inference model. An inference result is received from the inference engine. The inference result is stored in a database to associate the inference result with the data object. Then, in response to receiving a search request with one or more terms, the one or more terms are matched to the inference result in the database. and the data object and the inference result are returned.

Abstract: Disclosed, in one general aspect, is a computer-based method and apparatus for extracting predictive information from a collection of stored, machine-readable electronic documents. The method includes accessing at least a subset of the electronic documents each including different machine-readable predictive information about one or more future facts occurring after a publication time for that document. The method also includes extracting the predictive information about the one or more future facts from the accessed documents, and deriving one or more predicted query information items based on the predictive information extracted in the step of extracting.

Abstract: Various embodiments are provided herein for systems and methods for real-time, or near real-time, multi-dimensional ranking of experts. In at least one embodiment, receiving one or more evaluation datasets; for each given evaluation dataset, associating the evaluation dataset with: (i) at least one evaluation data category, (ii) at least one taxonomy category, and (iii) at least one expert of the plurality of experts; subsequently, receiving one or more search filter criteria for ranking at least a subset of the plurality of experts; generating a ranking of the at least subset of the plurality of experts, wherein the ranking is based on the search filter criteria, and is further generated based on the associations determined for each evaluation dataset; and displaying, on a user interface, at least a portion of the plurality of rankings as the multi-dimensional ranking of the plurality of experts.

Abstract: A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.

Abstract: A system to manage power consumption from a grid includes a building switchgear; an independent system organization (ISO) meter coupled to the building switchgear, the ISO meter including a telemetry unit to communicate with an ISO; and an energy storage system (ESS) coupled to the building switchgear, wherein the ESS selectively provides power in response to a customer power demand to prevent a customer grid power consumption from spiking and peaking at grid imbalance highest cost on peak times.

Abstract: Techniques for data evaluation are provided. A plurality of data records is received, and a first comparison vector is generated by comparing a first and a second data record of the plurality of data records, where the first comparison vector indicates differences between the first and second data records. A machine learning model is trained based at least in part on the first comparison vector. The plurality of data records is evaluated using the machine learning model, and at least two of the plurality of data records are linked based on the evaluation.

Abstract: A method of generating recommendations for a collective profile, the collective profile being linked to a first profile and a second profile. The method may include authenticating a login request from an end user device in association with the collective profile based on credentials associated with the first profile, identifying a query from among a plurality of queries and transmit the query to the end user device, receiving a response to the query, determining that the response is not inconsistent with one or more earlier responses received in association with the second profile and, in response, refining at least one attribute or goal in the collective profile based on the response to generate and store a refined collective profile, and determining whether the refined collective profile results in a new recommendation and, if so, outputting the new recommendation.

Abstract: A server can receive a plurality of records at a databases such that each record is associated with a phone call and includes at least one request generated based on a transcript of the phone call. The server can generate a training dataset based on the plurality of records. The server can further train a binary classification model using the training dataset. Next, the server can receive a live transcript of a phone call in progress. The server can generate at least one live request based on the live transcript using a natural language processing module of the server. The server can provide the at least one live request to the binary classification model as input to generate a prediction. Lastly, the server can transmit the prediction to an entity receiving the phone call in progress. The prediction can cause a transfer of the call to a chatbot.

Abstract: A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.

Abstract: An Artificial Intelligence (AI) ergonomic assessment and positioning system that analyzes remote workspace data, identifies objects that are improperly positioned, oriented, and/or have undesirable settings, and automatically adjusts, moves, sets, and/or provides automatic guidance for the adjustment, movement, and/or setting of target objects in the remote workspace.

Abstract: In some implementations, a subscriber to an online content management system can share content items that are external to the subscriber's content library. A computing device can include managed content items associated with the subscriber's content library. The computing device can include unmanaged content items that are stored externally to the subscriber's content library. The subscriber can provide input associated with an unmanaged content item to generate a link (e.g., URL, file path, location reference, etc.) for the unmanaged content item. When generating the link, the unmanaged content item can be uploaded to the online content management system and stored separately from the subscriber's content library. The generated link can be shared with recipient user (e.g., subscriber or non-subscriber). The generated link can be used by the recipient to access the unmanaged content item uploaded to and stored by the online content management system.

Abstract: Embodiments of the present disclosure provide improved identification and handling of root causes for data event(s). Some embodiments improve the accuracy of determinations of a root cause or likely order of root causes of a data event affecting any number of system(s), and cause transmission of data associated with such root cause(s) for use in triaging such data event(s) and/or facilitating efficient servicing to resolve the data event. Some embodiments utilize modified centrality algorithm(s) to efficiently and accurately identify a likely root cause of a data event in a computing environment. Some embodiments generate and/or output notifications that indicate the particular computing system(s) identified as a root cause of a data event, and/or the particular computing system(s) identified not as a root cause but affected by a data event of the root cause computing system.

Abstract: A binary relational database model is described whereby application-layer object structures are easily inferred from database query templates. The object structures take the form of acyclic hypergraphs, which are induced from primal graphs representing query templates. Database applications may iterate through the collection of returned object structures, accessing the data in each structure. The returned object structures are not based on a fixed object model, thereby permitting rich structures with greater applicability than traditional ORM systems. A relationship between non-primitive entities may be directly expressed without the need for alternative join tables. Development and maintenance costs are thus substantially reduced, and data is more efficiently stored and manipulated for database applications.

Abstract: A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The client device accesses an acceleration server to receive a list of available tunnel devices. The requested content is partitioned into slices, and the client device sends a request for the slices to the available tunnel devices. The tunnel devices in turn fetch the slices from the data server, and send the slices to the client device, where the content is reconstructed from the received slices. A client device may also serve as a tunnel device, serving as an intermediate device to other client devices. Similarly, a tunnel device may also serve as a client device for fetching content from a data server. The selection of tunnel devices to be used by a client device may be in the acceleration server, in the client device, or in both.

Abstract: The technology relates to a refuse collection system including: a camera configured to capture image data; a sensor configured to capture spatial data; and a processing module in communication with the camera and the sensor, the processing module configured to: process the image data to assist in identifying an object; and process the spatial data in a region associated with the object in order to determine one or more characteristics associated therewith, wherein in response to confirming that the object is a bin based on the one or more characteristics associated with the object, the processing module is configured to provide information to assist in retrieving the bin with a bin-collecting device.

Abstract: A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.

Abstract: Security Information and Event Management tools, log management tools, log analysis tools, and other event data management tools are enhanced. Enhancements harvest entity extraction rules from queries, query results, and other examples involving the extraction of field values from large amounts of data, and help perform entity extraction efficiently. Entity extraction operations locate IP addresses, usernames, and other field values that are embedded in logs or data streams, for example, and populate object properties with extracted values. Previously used extraction rules are applied in new contexts with different users, different data sources, or both. An entity extraction rules database serves as a model that contains rules specifying parsing mechanisms. Parsing mechanisms may include regular expressions, separation character definitions, and may process particular file formats or object notation formats or markup language formats.