Abstract: A batch process operates on structured data in multiple tables, including a first and a second source table, and a first and a second processing table. An additional key is added within each natural key to at least the second source and processing table for identifying a sequence of rows for updating.

Abstract: A data recording and annotation system includes data recording device for generating a data record. After the data recording device receives a request to review the one or more data records, the data recorder provides the one or more data records to the requester. After the data recorder receives an approval or annotation made about the data record, the data recorder generates a revised data record including information from the data record and from the approval or annotation. Then the revised data record is stored on the data recording device. The data records may be accessed at either the data generating device itself, or through a remote connection.

Abstract: A computer-implemented method for regulating delivery frequency of outbound communications. The method includes receiving message context data comprising one or more of a user identifier, a client identifier, a campaign identifier, a channel identifier, a label identifier, and a trigger identifier. A counter-field identifier is determined that encodes the channel identifier, label identifier, trigger identifier, campaign identifier, and a temporal-interval indicator. A counter field identified by the counter-field identifier is created. A value stored in the counter field is incremented through an atomic operation. The value is compared with a limit stored in a rule set. An allow signal is output when the value does not exceed the limit and a suppress signal is output when the value exceeds the limit. An engagement-counter record is updated to the in-memory database.

Abstract: Provided are systems and methods that rely on machine learning to recommend employment opportunities. In one example, a method may include identifying, via execution of a first machine learning model, income data and spending data of a user, identifying, via execution of a second machine learning model, skill attributes of the user, determining, via execution of a third machine learning model, a recommended job for the user, where the determining comprises inputting the outputs from the first and second machine learning models into the third machine learning model, and displaying, via a user interface, a description of the recommended job.

Abstract: A computer-implemented method including receiving a query from a user related to legal information. The method also can include performing an initial retrieval of document chunks from a corpus of legal documents. The method additionally can include applying a cross-encoder model to generate relevance scores for the document chunks. The method further can include filtering the document chunks based on a quality threshold. The method additionally can include calculating a combined score for each remaining document chunk of the document chunks based on a respective relevance score of the relevance scores, temporal relevance score, and a document type importance score. The method also can include selecting a subset of top-scoring document chunks based on the combined score. The method additionally can include generating a response to the query based on the subset of the top-scoring document chunks.

Abstract: A system and method include receiving a plurality of elements in a data array to be sorted, assigning the elements a sequential index value, computing an amount of additional memory needed to sort the elements, creating a Linked-Array Tournament Tree (LATT), storing the LATT in the allocated amount of additional memory, initializing the LATT, initializing a number of iterations, initializing a next sorted index position in the data array, determining from the LATT, the index value of a champion element from all the winners of the pairwise comparisons, swapping the champion element with an element at the next sorted index position in the data array, updating the LATT responsive to the swapping, updating the next sorted index position, repeating a plurality of times, and outputting the data array having the elements in a sorted order.

Abstract: Monitoring devices, such as air particle counters, having mesh network capabilities are described for implementation in environmental monitoring within a facility. The air particle counters run samples at various facility locations based on a standard operating procedure (SOP). Each air particle counter can opportunistically connect with one or more other air particle counters using mesh networking. Data from samples run by and any new or updated SOP received at the air particle counters can be distributed via database replication across the other air particle counters using the mesh networking such that each air particle counter has a copy of the sample data and a current SOP within its database. A dashboard user interface displaying a hierarchical representation of the SOP and an associated compliance status with the SOP can be generated and updated based on data received from the air particle counters to facilitate SOP management.

Abstract: A data processing service receives a request from a user. The request specifies a task for generating embedding vectors to represent a target dataset using a target embedding model. The service applies an automatic pipeline to the target dataset, which pre-processes the target dataset to generate batches of the target dataset. Each batch includes a plurality of data chunks in the target dataset. The automatic pipeline assigns computing resources to each batch of the target dataset; and applies, by the assigned computing resources, the target embedding model to each batch to generate the embedding vectors. Each embedding vector represents a data chunk of the target dataset in a latent space and is incrementally updated based on an update to a corresponding data chunk represented by the embedding vector. The configuration stores the generated one or more embedding vectors in a vector database.

Abstract: An apparatus includes at least one processing device configured to monitor input-output operations for a storage system, the storage system including a memory maintaining a log structured merge tree cache for a log structured merge tree and one or more bloom filters, each of the one or more bloom filters being associated with one or more segments of the log structured merge tree. The at least one processing device is also configured to determine, based at least in part on the monitored input-output operations, whether one or more bloom filter size adaptation trigger conditions have been met. The at least one processing device is further configured, responsive to determining that at least one of the one or more bloom filter size adaptation trigger conditions has been met, to adjust one or more parameters controlling a size of at least one of the one or more bloom filters.

Abstract: Revising data management indices by defining a plurality of data entity buckets, assigning bucket hash values to each data record according to the plurality of data entity buckets, generating a record index including data record bucket membership data, determining a combined record score for each data record according to the bucket membership data, revising data record relationship indices of a data management system according to the combined record score of a data record, and responding to a user query according to the record index including the revised record relationships.

Abstract: An embodiment includes analyzing a first digital image using a first trained neural network that classifies the first image as having a first context based on a plurality of characteristics of the first image. The embodiment generates a data structure that associates first and second elements depicted in the first image based on an affinity detected between the first and second elements in the first context. The embodiment executes a querying process that searches for information requested by a user, and detects that a search result from the querying process conveys a second context that is different from the first context. The embodiment identifies a third element in the data structure having an affinity with the first element in the second context. The embodiment renders a machine-generated image that is generated using a second trained neural network and depicts the first element and the third element in the second context.

Abstract: A method may include, in response to a change in an operating parameter of a processing unit, modifying a signal pathway to a processing circuit component of the processing unit, and communicating with the processing circuit component via the signal pathway.

Abstract: A method and related system for presenting generated queries is disclosed. The method includes selecting a first context based on a set of inputs comprising a first query and determining a match between the first context and a stored context. The method also includes generating a second query based on the set of inputs with a first language model in response to the match, identifying an indicated portion of the second query using a second language model, and generating an issue indicator of the second query based on the indicated portion, where the first language model is configured with a schema of a target database and a first query set. The method may also include sending the data to the client device, wherein the data causes the client device to visually present a representation of the indicated portion concurrently with a representation of the issue indicator.

Abstract: A method and related systems for increasing relevant content transmission may include storing first content representation in a first server and second content representations in a second server, generate a query representation based on a query, retrieving an intermediate representations by concurrently using the first server to retrieve a first representation subset based on the first content representations and using the second server to retrieve a second representation subset based on the second content representations. The method also includes using a graph neural network to re-rank similarities to select a ranked graph subset, determining an input context that includes selected content including data from the first server and the second server based on an association between the selected content and the ranked graph subset, and generating a language model response by transmitting, to an API of a language model, an input comprising the query and the input context.

Abstract: Systems and methods are directed to a compression scheme for stable universally unique identities in a collaborative editing environment. A client receives edits to a document and immediately creates a local short identity for an element of each edit, whereby the local short identity represents an offset from a base unique identity associated with the client from which a unique identifier assigned to the element is derivable. The local short identity information including the local short identity for each element is transmitted to a server. Subsequently, global short identity information is received from the server from which one or more global short identities that each map to a local short identity of a client of a plurality of clients collaborating on the document can be determined by the client. Each global short identity is a compact identity that is universally unique to the plurality of clients including the client.

Abstract: Methods and memory devices are provided in which at least one parser of a memory device converts graph input data into an edge list and a vertex list for a graph database. A merge sorter of the memory device sorts the vertex list to generate a sequential list of vertices. The edge list is converted into a translated list of edges using identifiers (IDs) of the sequential list of vertices. The merge sorter sorts the translated list of edges to generate a sequential list of edges. The graph database is generated using the sequential list of edges.

Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data storage system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more recommendations, notifications, or alerts associated with usage of the data storage system may be generated.

Abstract: Techniques are disclosed for digitizing a framework for clinical development. In one example, A computing device comprising a memory configured to store a regulatory database, and one or more processors may be configured to perform the techniques. The one or more processors may retrieve, from the regulatory database, a template based on a governance process, receive, via a user interface, input from a user, parameterize the template based on the governance process with the user input to create a parameterized template, and store the parameterized template in a database.

Abstract: An example system for parsing and transforming input data that includes processing circuitry and memory, the memory configured to store the input data. The processing circuitry is configured to determine a first delimiter in the input data. The processing circuitry is configured to determine a plurality of second delimiter hypotheses and parse the input data according to the first delimiter and the plurality of second delimiter hypotheses to generate a plurality of tables that are each associated with a respective one of the plurality of second delimiter hypotheses. The processing circuitry is configured to determine a respective consistency score for each of the plurality of tables and select a table from among the plurality of tables based on the respective consistency score associated with the table. The processing circuitry is configured to format the input data based on the selected table to generate formatted data and output the formatted data.

Abstract: A method for processor-implemented method includes receiving an integrated circuit (IC) troubleshooting query for an IC. The IC troubleshooting query is received from a user. The method also includes performing natural language processing and machine learning to cluster the IC troubleshooting query into one of a number of semantically similar troubleshooting categories. The method further includes retrieving resolution data from an expert system library, based on a mapping between categories of user solutions and a topic of the IC troubleshooting query. The method also includes generating a recommendation in response to the IC troubleshooting query, based on the resolution data. The method outputs the recommendation to the user.