Abstract: Computing systems methods, and non-transitory storage media are provided for receiving a first representation of an unstructured data entity. The first representation includes an indication of a detection. The unstructured data entity is part of a corpus. Next, second representations of the unstructured data entity are received and resolved according to a consensus. Next, any discrepancies between the first representation and the resolved second representations are determined. The any discrepancies include any difference in an existence or an absence of the detection, in a relative position of the detection, or in a type or a classification of the detection. Next, feedback regarding the any discrepancy is received. Next, the first representation is selectively modified, or selectively prompted to be modified, based on the any discrepancy and the feedback.

Abstract: A method and apparatus for semanticization is provided. The method includes: ascertaining a target coordinate of a to-be-semanticized location; ascertaining, through a pre-built regional spatial index tree, a target region to which the target coordinate of the to-be-semanticized location belongs; and ascertaining semantic information of the to-be-semanticized location based on semantic information of the target region.

Abstract: Bitmask encoding-based personalized style generation is described. A personalization system presents different instances of digital content in a user interface and prompts a user to indicate interest or disinterest in an individual digital content items. Based on the input indicating interest or disinterest, a bitmask encoding is generated and returned to the personalization system. The personalization system queries a database to identify respective instances of digital content that correspond to each binary value included in the bitmask encoding, which is then used to generate a prompt that causes a machine learning system to generate a personalized style for the user from which the favorable or unfavorable indications were received. The machine learning system generates a personalized style for an individual and identifies different instances of digital content of interest to the individual, and the personalized style is used to generate a user interface for the individual.

Abstract: An overlay system is provided that includes a storage element and processing circuitry. The storage element stores an executable graph-based model that includes various executable nodes that communicate with each other by way of messages. The executable graph-based model further includes a message node for each message associated with the overlay system. Each message node is associated with one or more analytics overlay nodes that execute a corresponding set of analytics operations on composition of the corresponding message node to generate one or more analytic insights. The composition includes data and transactional information associated with the corresponding message node. A publisher overlay node associated with the one or more analytics overlay nodes may generate and publish an analytics outcome based on an output of the execution of the set of analytics operations. The analytics outcome is indicative of performance of the overlay system.

Abstract: Systems and methods are disclosed for a resource efficient partial bootstrap of one or more databases. Instead of the typical requirement of deleting all data from a destination database and performing a full bootstrap when deletions in data at a data source occurs, implementations herein disclose a resource efficient partial bootstrap process to identify deletions in data at the data source and update the destination database accordingly without requiring a full bootstrap. To perform partial bootstrapping, a system compares the set of data keys from a source index at the data source with the set of data keys from a destination index at the destination database to identify a difference between the two sets of data keys. The system then deletes the data keys in the destination index that do not appear in the source index (as identified in the difference between the two sets of data keys).

Abstract: A replicated block storage service provides durable and high performance network-attached storage replicated in two or more zones of a single region, and remains available despite a single zone failure. A probe file is generated to determine a health state of a replicated disk. When a disk is degraded, a lease is created indicating which replica is trusted and providing visibility to backend jobs to facilitate reconciliation of data between the first replica and the second replica. Moreover, degraded file markers are generated for use by the backend jobs in quickly identifying the data to be copied.

Abstract: Systems, methods, and apparatuses for query-specific ranking of search results are described herein. A first query may be received from a user device. A set of candidate results associated with the first query may be determined. The set of candidate results may be ranked based on inputting the set of candidate results in a machine learning model. The machine learning model may be trained using data indicating previously selected candidate results output in response to the first query and previously selected candidate results output in response to a second query. The second query may comprise the first query. Output, via the user device, of an indication of the ranked candidate results may be caused.

Abstract: Disclosed are methods, systems, and non-transitory computer readable memory for processing, analyzing, and visualizing complex digital object sets using large language models. For instance, a method may include receiving a set of digital objects; indexing the received set of digital objects to generate indexed data; generating a timeline prompt based on the indexed data; processing the timeline prompt to generate a timeline response; and outputting the timeline response as an interactive timeline of based on the set of digital objects.

Abstract: A device may receive a query identifying one or more events to be captured by a camera associated with a vehicle, video data associated with the vehicle, and location data associated with the vehicle, and may generate a prompt requesting captions of video frames included in the video data. The device may process the video data, with a large language model and based on the prompt, to generate the captions of the video frames included in the video data, and may process the query and the captions, with a phrase model, to determine categories of words provided in the query and the captions. The device may calculate matching scores between the query and the captions based on the categories of words and a dictionary of words, and may identify an event based on the matching scores. The device may perform one or more actions based on the event.

Abstract: One or more observed database metric values characterizing observed database performance information about a database system implemented in a computing services environment may be determined. One or more observed application metric values characterizing observed performance information about a network-accessible application implemented on an application server in the computing services environment may be determined. The application server may store information in the database system generated while providing computing services via the computing services environment. An updated database system configuration setting for the database system may be determined by applying a machine learning prediction model to a dataset including the one or more observed database metric values and the one or more observed application metric values. An instruction to update the database system may be transmitted based on the updated database system configuration setting.

Abstract: According to one aspect, a method includes obtaining, at an interface to a system that includes a large language model (LLM) arrangement, a first prompt, and identifying a plurality of candidate chunks of documents that substantially match the first prompt. The method also includes analyzing the plurality of candidate chunks to identify a chunk node associated with the plurality of candidate chunks, and generating a query arranged to solicit information associated with the plurality of candidate chunks. A second prompt is obtained in response to the query, and the plurality of candidate chunks is analyzed. Analyzing the plurality of candidate chunks using the second prompt includes identifying at least a first candidate chunk of the plurality of candidate chunks that is associated with the second prompt, wherein the first candidate chunk has a context. Finally, the method includes generating a response to the first prompt using the context.

Abstract: A system analyzing nodes and data labels for storage in a database. The system may include at least one processor; and at least one memory configured to execute the instructions to perform operations. The operations may include generating, a plurality of nodes according to an architectural meta-model for a database; providing, meta-data associated with a data object stored by the generated plurality of nodes from the architectural meta-model for the database; grouping, the generated plurality of nodes into at least one or more sets, the sets including ones of the generated nodes that contain the same data label corresponding to the same set for the data object; and storing, properties of the architectural meta-model that include name-value pairs of data for use on the generated plurality of nodes or one or more relationships.

Abstract: Described herein are systems and methods that detect and filter objects from media content. In particular, a detection system accesses classifiers that can detect objects when applied to a video. The detection system receives a text input from a user interface identifying filtering criteria for outputs of the classifiers and inputs the filtering criteria to a filtering language model that produces a filtering object. The detection system presents the filtering object at the user interface. In response to a user accepting the filtering object, the detection system applies the classifiers to the video, which produces a set of detected objects. The detection system applies the filtering object to the detected objects by removing a subset of the detected objects that do not satisfy the filtering criteria and presents the video with the filtered set of detected objects highlighted within the video.

Abstract: In various examples, table classification based query join reordering for relational database systems and applications are provided. In some embodiments, a relational database system is provided that includes a join optimizer that evaluates a join clause of a query and categorizes relational database tables as either fact tables or dimension tables based on a normalized cardinality statistic. The join optimizer uses the fact and dimension tables to deconstruct the query into a plurality of deconstructed query join trees. Individual deconstructed query join trees may be generated for each respective fact table. The deconstructed query join trees may be joined to generate a reordered join solution representing a sequential join of the plurality of deconstructed query join trees. An updated query may be generated based on the reordered join solution, and a query response generated that answers the query based at least on the updated query.

Abstract: An online system performs an inference task in conjunction with the model serving system and/or interface system to generate relevant product images for query auto-completion and query suggestion to help users better navigate their search experience. The online system generates a collection of query suggestions using search query log mining. For each query suggestion in the collection of query suggestions, the online system retrieves one or more catalog images that depict the query suggestion from a product catalog. The online system constructs a prompt to a text-to-image model including the query suggestion, and a request to generate one or more query images based on the query suggestion. The online system receives the query images from the text-to-image model and ranks the catalog and query images to identify an image to display to the user in association with the query suggestion.

Abstract: A system for processing distributed transactions is provided. The system includes a sequencer that communicates an atomic message stream to multiple different service instances. The service instances each process the messages from the message stream into a local queue. Each service instance also executes a state machine by reading messages from a queue and transitioning between states in the state machine while also performing one or more operations in connection with performing a distributed transaction.

Abstract: This application provides a two-dimensional code-based data processing method, apparatus, and system, where the two-dimensional code-based data processing method includes: receiving and parsing a material to be parsed to obtain a two-dimensional code and a target material, where the two-dimensional code carries target label information; recognizing the two-dimensional code to obtain the target label information; and storing the target material into a material library based on the target label information. The target material is quickly labeled based on the two-dimensional code, so that the target material is automatically imported into the corresponding material library, to help a user subsequently search for and manage the target material.

Abstract: An information processing device is an information processing device that acquires information from social media. The information processing device includes a control unit configured to: acquire at least one posted text from social media; extract at least one facility name from the posted text; select, as a candidate point, one or more points whose evaluation value determined by a predetermined criterion is equal to or larger than a first threshold from one or more points corresponding to the extracted facility name; and display, on a map, information indicating a location of the candidate point selected by the user.

Abstract: Systems, computer program products, and methods are described herein for dynamic visual graph structure providing multi-stream data integrity and analysis. The present disclosure is configured to provide a reactive system aimed to trace the root cause of incidents and uncover potential gaps in security of an enterprise system. Maintaining accurate and meaningful information related to incidents is the key for success of data security protocols. The integrity of message data is kept intact for improved forensic investigation, as each database may keep varying information related to a single global session.

Abstract: Provided in the present application are a trajectory query method and apparatus. The trajectory query method comprises: acquiring a trajectory query request, which comprises query information of a plurality of types; according to query information of a service type in the query information of the plurality of types, determining a query range of metadata used as a digest of a trajectory, then determining a plurality of pieces of candidate metadata that are within the query range, and determining, from the plurality of pieces of candidate metadata, target metadata that matches the query information of the plurality of types; and acquiring a target trajectory according to the target metadata. By means of the present application, the trajectory query speed can be increased.