Abstract: A method of latent intent clustering is provided. The method comprises encoding identified features in a number of electronic user reports in a database. A binary matrix is created, wherein each row of the binary matric represents a different report and each column represents a different available feature. A 1 is placed in each cell of the matrix that matches a feature present in a user report. Cosine similarities are calculated for the user reports, and a similarity matrix is created, wherein each row and column of the binary matrix represents a different report, and wherein the cosine similarities of the reports are placed in corresponding cells of the matrix. The reports are clustered according to the cosine similarities. Features common to reports in each cluster are identified, and an intent of each report cluster is labeled according to the common features.

Abstract: Disclosed is an approach to autonomously abort a lower priority transaction that is blocking a higher priority transaction, where the lower priority transaction is holding a lock on a resource for which there is contention. Some approaches also provide an efficient way to implement identification of a blocker transaction, which drastically reduces the response time to abort the blocker transaction.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for a source independent query language. One of the methods includes receiving, by a computer system, a statement to perform operations on data stored in a data storing application, the data including fields. The method includes identifying a query language based on the data store. The method includes transforming the received statement into a query language specific statement. The method includes identifying at least one operation of the operations that is not supported by the query language specific statement. The method includes obtaining a function to replace the unsupported operation. The method includes applying the function to the query language specific statement. The method also includes providing the query language specific statement to the data storing application for processing.

Abstract: Name caching can be used external to a distributed file system (DFS), such as a network file system (NFS), to reduce the complexity of facilitating a file operation at the DFS. A system that can use the name caching and request the file operation of the DFS can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise, in response to a lookup operation or a file operation performed by a DFS, storing, using the processor, a name cache entry for each directory element accessed during the lookup operation or the file operation. The operations further can comprise sending, to the DFS, a single request that comprises a compound command comprising requests for a set of lookup operations and for a file operation.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer-readable media that more accurately determine matches between data identifiers based on data identifier reconstruction. For example, the disclosed systems determine a cognate dataset which can include a data identifier associated with a source individual along with data identifiers of individuals related to the source individual. From the cognate dataset, the disclosed systems can reconstruct a data identifier for a precursor entity of the source individual. In some embodiments, the disclosed systems can determine a data link between a target individual and the source individual by determining a data link between the reconstructed data identifier and the target individual and by modifying the data link based on a relationship between the precursor entity and the source individual.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support generative artificial intelligence (AI)-assisted analytics of structured data sets. For example, a system may receive a prompt that includes information associated with a structured data set which includes at least some numerical data. The system may provide the prompt as input to an agent orchestrator to select one or more generative AI agents to perform analytics tasks corresponding to the information. The agent orchestrator includes a trained AI classifier configured to select the one or more generative AI agents from a plurality of generative AI agents. The system may execute an ensemble model to generate a response to the prompt based on the structured data set. The ensemble model includes the one or more generative AI agents. The system may output a graphical user interface (GUI) that includes one or more elements based on the response.

Abstract: Methods and systems are described herein for novel uses and/or improvements to artificial intelligence applications for data-sparse environments. As one example, methods and systems are described herein for overcoming the problem of determining an appropriate digital asset to recommend to a user in real-time based on training data that may be shared between multiple intents (e.g., as would be found in responses to textual, verbal, and/or other real-time communications). In particular, the methods and systems overcome this technical problem by using an artificial intelligence trained to identify specific verbiage of a user to display digital assets corresponding to a user's intent thereby increasing productivity, organization, and collaboration, and reducing frustration.

Abstract: Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.

Abstract: A device for providing tourism information and a method thereof are proposed. The method of operating an electronic device configured to provide the tourism information about a cultural heritage includes obtaining user information, providing first tourism information corresponding to the user information from a pre-stored tourism database, and providing second tourism information on the basis of the user information, wherein the second tourism information is information related to the first tourism information.

Abstract: Embodiments of the present disclosure relate to an information presentation method and an apparatus, a device, and a medium. The method includes the steps described below. Collection information of at least one collection is acquired. The collection information includes title information of each collection and attribute information of multiple entities in the each collection. Attribute information of each entity matches the title information of the each collection. All or part of the collection information of the at least one collection is presented.

Abstract: A user interface of an online system is generated based on search for relevant items that match ingredients of a recipe. After receiving, from a device associated with a user of the online system, a query for an ingredient of a recipe, the online system identifies, based on one or more attributes in the query, a set of candidate items for the ingredient. The online system generates a recipe relevance score for each candidate item by applying a weighted sum of scores, ranks the identified candidate items based on their recipe relevance scores, and selects one or more items for presentation to the user. The online system then generates a user interface of the device with a recipe page including the ingredient of the recipe and the one or more items that match the ingredient of the recipe.

Abstract: Techniques are described for automatically converting a standard operating procedure (SOP) into a simulatable non-ambiguous single state machine (SSM) architecture in which a given input (transition condition) necessarily and unambiguously moves the system from a first state to a predictable second state. By converting a written SOP into a simulatable non-ambiguous SSM architecture, the techniques described herein reduce the possibility of errors and improve the safety, efficiency, and operational performance of the system. The described techniques also allow the architecture, and indeed the entire system, to be simulated.

Abstract: A data creation device that is a training data creation device for creating training data which is used for deep learning of an object detection program for detecting whether or not an object is included in an image, includes: an acquisition unit that acquires an anchor that is information on a frame specifying an area for each cell for detecting presence or absence of the object from the image; and a creation unit that associates area information of the object with image data to create the training data that includes a plurality of image data in which the area information is included. The creation unit determines a frame of the area information, based on a position of the anchor.

Abstract: A computer-implemented method of providing targeted content to a user includes generating a query index from a data corpus, the query index including a plurality of market segment-based queries, wherein each market segment-based query of the plurality of queries is configured to provide targeted content on a browser user interface of a user determined to be within a corresponding market segment.

Abstract: Systems and methods for an active-active mirrored artificial intelligence architecture are disclosed. In some implementations, the system identifies, for an inference request from a user, at least two geographically separate compute clusters configured to handle the inference request, each compute cluster storing a version of an artificial intelligence model for processing the inference request. The system determines, from the inference request, a data consistency requirement mapping the inference request to one or more data consistency types. The system determines, for each compute cluster, a composite metric based on, among other things, a consistency freshness score of the compute cluster. The system routes the inference request to a selected compute cluster having a lowest composite metric subject to a constraint that the consistency freshness score for the compute cluster satisfies the data consistency requirement for the inference request.

Abstract: Embodiments disclosed herein provide a computer-implemented method including operations of executing a first query against a nodal graph resulting in retrieval of a state node, wherein the state node includes state information in the nodal graph, wherein the first query is comprised of a first trigger that represents a predetermined condition, determining whether the first trigger forms a portion of a first rule stored in the nodal graph, wherein the first rule is comprised of the first trigger and a list of one or more actions to be taken when the predetermined condition of the first trigger appears in the nodal graph, responsive to determining that the first trigger forms the portion of the first rule, executing a second query against the nodal graph resulting in retrieval of the first rule, and executing the first rule based on context extracted from the state node.

Abstract: An integrated digital-analog archiving system can automatically initiate a migration process to move electronic documents to a media library. For each electronic document, the system may retrieve the electronic document from a digital data storage medium, extract metadata from the electronic document, determine size, orientation, and format of the electronic document, generate indicators for indicating the start and end of the electronic document to be stored on an analog data storage medium, generate an analog document identifier for identifying the electronic document on the analog data storage medium, generate a scaled image of the electronic document based on the size, orientation, and format of the electronic document, generate a text string based at least in part on the extracted metadata, and render the indicators, the analog document identifier, the scaled image of the electronic document, and the text string on the analog data storage medium.

Abstract: A system for providing localized information using wireless communication features a computing device that interacts with a wireless signal generator in a navigable space. The device receives a location identifier and processes user-entered data linked to that location. It then generates a structured display that organizes multiple data signals, each categorized and arranged in a specific display order. Additionally, the system records contextual data elements and associates them with the structured display and location identifier, creating a comprehensive localized data record. This enables users to access relevant, context-aware information efficiently based on their location and input, enhancing navigation and situational awareness.

Abstract: The method includes: A first device obtains an auxiliary device of the first device; the first device divides to-be-backed up data into N data sets, where N is a quantity of backup devices, and the backup devices include the first device and the auxiliary device of the first device; the first device sends backup information to the auxiliary device, where the backup information includes a data set allocated to the auxiliary device, and the backup information indicates the auxiliary device to send the received data set to a preset cloud platform; and the first device sends a data set allocated to the first device to the preset cloud platform.

Abstract: A method of automated database element processing includes training a wide machine learning model with historical feature vector inputs to generate a wide ranked element output. The method includes training a deep machine learning model with the historical feature vector inputs to generate a deep ranked element output. The method includes generating a set of inputs specific to an individual entity, obtaining a set of current article database elements, and creating a feature vector input according to the set of inputs and the set of current article database elements. The method includes processing the feature vector input with the wide machine learning model to generate a wide ranked element list, processing the feature vector input with the deep machine learning model to generate a deep ranked element list, and merging database elements of the wide and deep ranked element lists to generate a ranked element recommendation output.