Abstract: A method automatically distributes aeronautical information. A source dataset for the aeronautical information is identified. The source dataset is in a common data format and has changes. A destination dataset for the aeronautical information is identified. The destination dataset is in the common data format. An overlap is determined between the source dataset and the destination dataset. The changes are present in the overlap between the source dataset and the destination dataset. A destination change dataset is generated in a destination format specific to the destination dataset. The destination change dataset comprises the changes present in the overlap. The destination change dataset in the destination format is sent to a destination database storing the destination dataset in the destination format.

Abstract: A system may use a large language model (“LLM”) to generate a data pipeline. The system can receive a natural language query and a selection of a plurality of data sets for generating a data pipeline and generate a prompt comprising at least: the natural language query, indications of the plurality of data sets, an indication of a format of a first computer language, and an indication of available data transformations. The system can transmit the prompt to an LLM and receive, from the LLM, a response to the prompt in the format of the first computer language. The system can parse the response in the first computer language to identify at least an indication of one or more recommended data transformations. The system can generate, based on the indication of the one or more recommended data transformations, the data pipeline using a second computer language.

Abstract: Materialized views may be optimally selected for materialized view creation or refresh. Materialized views for creation or refresh may be identified. A subset of the materialized may be determined according to an optimization technique that selects the subset of the materialized views according to a maximized performance benefit for maintaining the subset of materialized views based on a workload of the database system caused by a set of previously received queries. Individual ones of the subset of materialized views to create or refresh may be selected and performed according to a performance benefit-based order of the subset of the materialized views.

Abstract: Embodiments of the present disclosure include systems and methods for providing sparsity for neural network models based on sparsity attributes. A first neural network model definition is received. The first neural network model definition specifies a neural network model comprising a set of tensors and a set of sparsity attribute values for elements of a tensor in the set of tensors. The set of sparsity attribute values for the tensor are propagated to elements of a subset of the set of tensors to form a second neural network model definition. The neural network model is generated based on the second neural network model definition.

Abstract: A method for generating high-quality seismic data includes receiving a first dataset. The method also includes selecting a first processing technique based upon the first dataset. The method also includes producing first processed data from the first dataset using the first processing technique. The method also includes selecting a second processing technique based upon the first dataset. The second processing technique is different than the first processing technique. The method also includes producing second processed data from the first dataset using the second processing technique. The method also includes training a machine learning model to transform the first processed data into the second processed data.

Abstract: An amount of expiration time extension for one or more objects associated with a first archive of a first snapshot of a source storage is determined based at least in part on a second data management policy associated with a second archive and one or more dynamically determined metrics. The first archive that includes the one or more objects is caused to be stored to a remote storage. At least a portion of content of the first archive is referenced by data chunks stored in a first chunk object of the remote storage and the first archive is associated with a first data management policy. Based on the determined amount of expiration time extension, an expiration time for the one or more objects associated with the first archive is stored in an archive metadata of the one or more objects associated with the first archive.

Abstract: A computer-implemented method for artificial intelligence (AI)-assisted mapping of electronic data interchange (EDI) data to an alternative format is provided. The method comprises receiving a message implementation guideline (MIG) specifying a first data format for an electronic document for use within an EDI environment and generating a map from the MIG, the map comprising mapping rules for transforming messages formatted according to the MIG to a second data format. Generating the map comprises identifying, from the MIG, rules text of interest; generating a prompt to a large language model (LLM), the prompt including the rules text and requesting that the large language model convert the rules text to respective mapping logic; inputting the prompt to the LLM; receiving the respective mapping logic from the LLM; and adding an AI-generated mapping rule to the map, the mapping rule comprising the respective mapping logic.

Abstract: A system includes a plurality of antennas that receive wireless data. A first memory component stores a first plurality of resource blocks and associated resource elements for the received data associated with a first antenna of the plurality of antennas in a first row of the first memory component. The first memory component stores the first plurality of resource blocks for a second antenna of the plurality of antennas in a second row of the first memory component. A conversion unit receives the stored first plurality of resource blocks from the first memory component and formats the stored first plurality of resource blocks and associated resource elements to arrange a first resource block of the first plurality of resource blocks from the first and the second antennas in a same row to form a formatted data. A second memory component is configured to store the formatted data.

Abstract: Systems and methods described herein relate to techniques for performing a pivot aggregation on a set of data using intermediate maps and intermediate pages. The intermediate maps and the intermediate pages reduce the computational complexity of pivot aggregations into a series of operations that are less computationally complex and may be performed in parallel. The techniques described herein improve efficiency in database technology by reducing computational complexity of pivot aggregations.

Abstract: In one embodiment, a first entry in a first database is modified to include data from a highest-ranked one of one or more available data tables that correspond to the first entry. Each of one or more characters fields of the modified first entry are converted into a respective one or more first-entry tokens, and each of one or more character fields of each of a plurality of second entries in a second database is converted into a respective one or more second-entry tokens. The first-entry tokens are compared to the second-entry tokens, and, in response to the comparison, it is determined whether the first entry matches one of the second entries. In response to determining that the first entry matches one of the second entries, the first entry and the matching second entry are associated with one another in one or both the first and second databases.

Abstract: A database manager is disclosed that retrieves database records having binary encoded data from a database and instantiating objects in an in-memory database. Binary encoding compresses data, allowing many subrecords to be stored a single blob field of a database record. Retrieving chunks from storage reduces transfer time by reducing the size of data and the number of operations needed to retrieve all the subrecords. The database manager receives database access requests from a database application. Changes made to the database objects and committed by the application are written back to the persistent database as versioned delta records. In a subsequent session, loading the database from storage includes first loading the most recent snapshot record, then applying changes to the data stored in delta records. The changes stored in the delta records are applied to the data in the snapshot record in the order in which they were made.

Abstract: Database systems and methods are provided for initiating an action at a database system by an instance of a native application at a client device coupled to the database system over a network. One method involves a service associated with a field service application at a client device monitoring a location of the client device to determine the location satisfies update criteria including a field of a data record associated with a service appointment when the location is within a threshold distance of a value for the field of the data record corresponding to an address for the service appointment. The service automatically provides an indication to automatically update a status field of the data record associated with the service appointment at the database system in accordance with a configuration associated with the instance of the field service application when the location of the client device satisfies the update criteria.

Abstract: A system and method for navigating digital media assets including a navigation system configured to receive a search query in response to a user input and process the search query by applying the search query to a search index of digital media asset conventional and time-based metadata and determining search results of titles of and start points in time within digital media assets that satisfy the search query. The navigation system may then display the search results to the user through the user interface. The search results may be displayed in a hierarchical format, wherein the title of the digital media asset is displayed and upon selecting the title of the digital media asset, the start points in time within that digital media asset are displayed or played as a video to the user through the user interface.

Abstract: An information processing device executes learning a generative model that generates data belonging to a designated class on the basis of a noise vector and the designated class by executing a learning algorithm of a conditional generative adversarial network, learning a classification model that classifies input data based on whether the input data is in the designated class, and determining whether a property is satisfied when the classification model classifies an output of the generative model by executing a formal verification algorithm. The property indicates that the generative model does not generate data classified into a class different from a first class designated for the generative model, within a range of a certain norm of a noise vector input to the generative model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting entity names. One method includes receiving texts and deriving a plurality of name-context pairs from the texts. The method further includes calculating a context consistency measure for each name-context pair and storing context-entity name data representing the name-context pairs. Another method includes identifying an entity name and one or more context terms from a query and generating candidate names for the entity name. The method further includes determining a score for each of the candidate names, selecting a number of top scoring candidate names, and using the selected candidate names to respond to the query.

Abstract: The present disclosure relates to a method for establishing an ESG database including: parsing an ESG document subject to structuring; screening whether the parsed ESG document includes items corresponding to at least one of the pre-stored plurality of ESG management items; specifying a selection status for items in the ESG document based on whether an item corresponding to the ESG management item is included in the document; activating or deactivating input fields for final input field values for the pre-stored plurality of ESG management items according to the designation result of the selection status; and generating structured data by obtaining the content of items corresponding to ESG management items determined to be included in the document, and an ESG service providing system performing the same.

Abstract: The present teaching relates to entity extraction and disambiguation. In one example, an entity name extracted from a data source associated with a user is obtained. One or more entity types associated with the entity name are determined. One or more entity candidates are identified with respect to each of the one or more entity types. An entity candidate is selected with respect to one of the one or more entity types to be an individual associated with the entity name.

Abstract: A digital targeting system is configured to access data to determine users that satisfy content factors, such as pre-validation criteria, based on user information stored in a database having restrictions on sharing of user data, such as government regulations on sharing of the user information. The digital targeting system may then generate a pre-validated user ID list indicating those users that match the content factors. Users on the pre-validated user ID list may then be matched to users in other databases, such as a digital ID database, to identify digital IDs for the users that are usable by a digital display entity.

Abstract: In an embodiment, a method of technology visualization requests, by an input module, input from a user specifying a technology that is to be visualized. A control module accesses a visualization database to retrieve values and other information pertaining to the technology. The input module requests input from the user specifying values or information not contained in the visualization database. The control module selects three dimensions to serve as three axes for a three dimensional visualization. The control module converts values from the visualization database or user input into a format for plotting in a coordinate system of the three axes. A visualization module generates a three dimensional visualization pertaining to the technology, criterion, and criterion information.

Abstract: Techniques are described herein for using an artificial intelligence (AI) model to support tasks for different program codes. For example, a computer system can determine a request of an application that is executing on a device. The application can include program codes that each provide content functions and present content at a user interface for the application. The request may be associated with contextual data and user data and may indicate content entities for a first program code. The computer system can input the content entities, the contextual data, and the user data into an AI model that is trained on historical data associated with the content functions. The AI model can output a relevance score or an embedding vector for the content entities that can be used in performing the first content function and presenting the content entities on the user interface.