Abstract: Systems and immersive methods for constructing a personalized and user-assembled meta search engine are provided for aggregation and organization of image, video and digital rights data that allow a user to curate a broadcast of selected tiles that can be published and legered into a blockchain. The meta-search engine combines multiple API components to operate collectively as the initial search algorithm. The system and method include a data collection element, a brand commercial placement for sponsorship element, a stake and mining rewards against placed media element and a user interface that allows publishing of a unique curated media stream as a first-time-ever non-fungible token (NFT) broadcast. Also included are artificial intelligence, virtual reality, connected alternative metaverses and an assembly of broadcasts into video on demand channels.

Abstract: The present disclosure relates to a system and method for managing the storage of files in a storage medium of a computing device. The method may comprise detecting a file to be stored in the storage medium. The method may also comprise determining a file assignment mode and a granularity, wherein the granularity includes at least two file system blocks occupying consecutive physical addresses of the storage medium. The method may further comprise allocating one or more storage regions for storing the file based at least on the file assignment mode and the granularity, and storing the file into the allocated one or more storage regions.

Abstract: Systems and methods for implementing extensible attributes in ETL are disclosed. In some examples, attributes configured at a source file may be extracted from the source file. The extracted attributes can be mapped to a target column of a data warehouse table, and then a dynamic ETL script may be generated. The dynamic script may be executed to move data associated with the attributes to an appropriate new column of the data warehouse.

Abstract: The present disclosure relates to systems and methods for backing up a distributed database provided as a database instance across servers within a first geographic region. In one example, such a system may include at least one processor configured to: generate and transmit a command to duplicate the distributed database in object databases on first region servers; generate and transmit a command to duplicate the object databases on servers in at least a second geographic region independent from servers in the first region; and, when an error is detected with at least one server within the first region: generate and transmit a command to initiate a new distributed database on second region servers, generate and transmit a command to populate the new distributed database using the object databases on second region servers, and generate and transmit a command to re-route traffic from the distributed database to the new distributed database.

Abstract: Systems and methods are described for generating record clusters. The methods comprise receiving a plurality of records from data sources and providing at least a subset of the records to a scoring model that determines scores for various pairings of the records, a score for a given pair of the records representing a probability that the given pair of records contain data elements about the same entity. The method further comprises generating a graph data structure that includes a plurality of nodes, individual nodes representing a different record from the records. The method also comprises assigning a different unique identifier to individual clusters of the final clusters and responding to a request for data regarding a given entity by providing aggregated data elements from those records of the records associated with a cluster of the final clusters having an identifier that represents the given entity.

Abstract: Systems and methods are disclosed to implement an indexing engine that maintains an index in an index store for a storage object in a data store. In embodiments, the index store may be implemented using an in-memory storage cluster separate from the data store. The storage object may have multiple indexes, which may have different filtering or sorting criteria for the data. In embodiments, updates to the storage object are received as an update stream by the indexing engine. Based on configurable indexing rules, the indexing engine applies the updates to the appropriate indexes. To service a query to the data store, a query engine first retrieves a set of keys satisfying the query from the index store, and then data corresponding to the keys from the data store or another index. In embodiments, the index may be refreshed via touch updates of selected data in the storage object.

Abstract: A categorization system can include a computing device that is configured to obtain a plurality of data items over a threshold analysis period from an incoming data database in response to a threshold analysis interval elapsing. The computing device can also be configured to select a categorization model from a model database. The computing device can also be configured to, for each data item of the plurality of data items, apply the categorization model to the data item to identify at least one topic associated with the corresponding data item. The computing device can also be configured to generate a categorization visualization indicating a frequency of data items corresponding to each topic. The computing device can also be configured to transmit the categorization visualization to at least one of: (i) a user interface of an analyst device and (ii) a categorized database.

Abstract: A data intake and query system receives a message including raw machine via an internet protocol (IP) such as the hypertext transfer protocol (HTTP). The message includes a distinct payload portion and a distinct custom field portion. The payload portion includes raw machine data, while the custom field portion includes values for fields. An event that includes the raw machine data and the values is generated from the payload portion and the values are extracted from the custom field portion. The event is then stored such that the values are associated with the event.

Abstract: The present technology can detect potential labeling conflicts made during different labeling tasks when those tasks are checked in to ensure that a map database is free from conflicts that might interrupt publishing of a map. The present technology can determine whether a first labeled version of map portion is based on a most recent version for the map portion that is stored in the map database, and when it is determined that it is not, and there is an intervening version, the present technology can identify differences between the intervening version of the map portion and the first version of the map portion and identify differences between the second version of the map portion and the first version of the map portion. Based on the identified differences, the present technology can determine whether any of those differences are conflicting.

Abstract: A system may iteratively scan a portion of a document, extract first data from the portion of the document, and determine, using a trained model, whether the first data corresponds to one or more document types based on one or more confidence thresholds. The system may repeat this process, increasing the portion of the document scanned by a predetermined amount each iteration, until the first data corresponds to the one or more document types based on the one or more confidence thresholds. Responsive to determining the first data corresponds to the one or more document types based on the one or more confidence thresholds, the system may cause a graphical user interface (GUI) of a user device to display a notification indicating a document type match.

Abstract: A method may include determining that input text data includes a first keyword from a first set of keywords. The method also includes determining a similarity between the input text data and a first stored text string that has previously been identified as a false positive match for the first keyword, and based on the similarity, generating a first false positive score corresponding to the input text data. Further, the method includes determining a number of keywords, from a second set of keywords, that are included in the input text data, and based on the number of keywords, generating a second false positive score corresponding to the input text data. The method also includes calculating a final false positive score corresponding to the input text data based on the first false positive score and the second false positive score.

Abstract: A method for identifying subpopulations may include receiving interaction data associated with interactions from a population of individuals. The interaction data may include a plurality of features. A first subpopulation may be identified based on at least one feature of interaction data of each individual. A second subpopulation may include all individuals other than the first subpopulation. The first subpopulation may be clustered into a first plurality of clusters based on the features. A first subset of features may be determined based on the first clusters. The first subpopulation may be clustered into a second plurality of clusters based on the first subset of features. A range for each feature of a second subset of features may be determined based on the second clusters. A subset of the second subpopulation may be determined based on interaction data for each individual and the range for each feature of the second subset of features.

Abstract: A system, method, and computer program product provide a search engine which may use time series of data relevant to a search query to generate relevant results that may be used for predictions of events related to the query. Embodiments determine the underlying driving factors that most influenced the search query topic. In one aspect, the predictive ability of time series may be used to determine the driving factors. In another aspect, the system and method may employ a neural network to run a prediction model for determining conditional distribution of future values of the search query topic. The information may be displayed in a user interface where the driving factors and other information may be user edited to observe the effects source data has on the search query topic.

Abstract: Methods and apparatus for generating waveforms for application in a quantum computing device. In one aspect, a system comprises a batch generator that receives experiment data sets defining respective experiments, each experiment data set comprising a set of waveforms defined by respective waveform data; determines unique waveforms; generates a corresponding set of respective waveform data that includes the respective waveform data for each unique waveform; generates, for each of the experiments, a waveform list that references the respective waveform data in the set of respective waveform data that corresponds to the waveforms in the set; and batch instructions that are executable by waveform generator hardware and that cause the waveform generator hardware to process each waveform list by selecting each referenced waveform data in the waveform list; and generate, in response to the selected waveform data, a waveform that is suitable for application in a quantum computing device.

Abstract: Managing database queries using a deconstructed cloud database including receiving, by a communications manager of the deconstructed cloud database, a state specification from a client computing system; converting, by a query optimizer of the deconstructed cloud database, the state specification into a query plan comprising a database query targeting an offloaded execution engine; retrieving, by a dispatcher of the deconstructed cloud database, query results from the offloaded execution engine using the database query; and presenting, by the communications manager, the query results to the client computing system.

Abstract: A data classification system includes a proxy and a processor. The proxy is configured to intercept transactions that are conducted over a network between clients and a data store. The processor is configured to construct, based on the intercepted transactions, a classification map including a classification of at least some of the data that is stored in the data store into predefined classes.

Abstract: Systems and methods of the present invention provide for: generating a GUI comprising survey questions associated with degree factors and associated rating GUI components indicating application of the factor to a user; receiving the factor rating for each survey question; identifying a high factor rating exceeding a threshold; selecting a degree identifier sharing a common high factor rating between the first response and a response stored in the database; generating a candidate degree list including the degree identifier; generating a second GUI including the candidate degree list; and transmitting the second GUI to a client device.

Abstract: A method and system for controlling processing by a data server. An example method includes a computing system receiving from a client entity a request for information, and, responsive to receiving from the client entity the request, the computing system (i) determining, based on the client entity from which the computing system received the request, a processing time limit for the data server to apply in processing a query for the information and (ii) generating and sending to the data server the query, including in the query an indication of the determined processing time limit. The data server could thus receive and process the query and impose the specified processing time limit on the processing of the received query.

Abstract: A computer-implemented method may include: providing an extension for a web browser, the extension having a user interface configured to occupy a portion of a user interface associated with the web browser; intercepting content fetched by the web browser for a web page being a company page, a social media page, or a professional page; processing the fetched content for the web page to extract information including: a company name, a candidate name, a job title, and/or an industry name; querying a database for contextual information based on the extracted information, the contextual information being a summary of information obtained from one or more sources other than the web page; and presenting, via the user interface, the contextual information including: company information based on the company name, candidate information based on the candidate name, job title information based on the job title, and/or industry information based on the industry name.

Abstract: A distributed database may comprise a plurality of nodes maintaining a collection of data items indexed by key values. Upon receiving a request to store a data item, a node of the database may be selected based on the node's suitability for storing the data item. The distributed database may generate a key to identify the data item, such that the generated key identifies the data item and comprises information indicative of the selected node. The distributed database may provide the generated key to an application programming interface client in response to the request.