Abstract: In some examples, a system identifies sub-portions of a database query, assigns identifiers to the identified sub-portions, and adds the identifiers to a data structure. The system generates a fingerprint representing the database query based on applying a fingerprint function on the data structure including the identifiers.

Abstract: Systems and methods provides for dialog management in real-time rather than turn taking. An example method included generating first candidate responses to triggering event. The triggering event may be receipt of a live stream chunk for the dialog or receipt of a backend response to a previous backend request for a dialog schema. The method also includes updating a list of candidate responses that are accepted or pending with at least on of the first candidate responses, and determining, for the triggering event, whether the list of candidate responses includes a candidate response that has a confidence score that meets a triggering threshold. The method also includes waiting for a next triggering event without providing a candidate response when the list does not include a candidate response that has a confidence score that meets the triggering threshold.

Abstract: Embodiments are directed towards a system and method for a cloud-based front end that may abstract and enable access to the underlying cloud-hosted elements and objects that may be part of a multi-tenant application, such as a search application. Search objects may be employed to access indexed objects. An amount of indexed data accessible to a user may be based on an index storage limit selected by the user, such that data that exceeds the index storage limit may continue to be indexed. Also, one or more projects can be elastically scaled for a user to provide resources that may meet the specific needs of each project.

Abstract: Systems, methods, and a non-transitory computer readable medium for a universal indexing scheme for indexing data.

Abstract: Various examples are directed to systems and methods for processing queries against a process model. An analytics computing system may access query data describing a query to an analytics computing system. The analytics computing system may access process model code that comprises first function code for evaluating a function having a first input and a second input. The first function code may indicate that the first input is at a first time context corresponding to a first discrete time. And that the second input is at a second time context corresponding to a second discrete time period adjacent the first discrete time period. The analytics computing system may execute the process model code using a value for a first input at the first discrete time period and a value for a second input at the second discrete time period.

Abstract: Systems and methods for an interior design toolset are provided. The method includes receiving a search query for a first design product from a user; searching a database based on the search query using an artificial intelligence search to identify particular design products related to the first design product; searching the database to identify suggested design products based on data extracted from images of a project area; receiving user input selecting design products from 1) the particular design products and 2) the suggested design products; and displaying three dimensional (3D) models of the selected design products in a projection of the project area.

Abstract: Systems and methods for improving displays of media assets are disclosed herein. In an embodiment, a system receives a plurality of text comments from a plurality of devices to which a media asset was transmitted. The system analyzes the comments to identify text strings within the text comments. The system generates interactable elements from the text strings in the text comments, such that an interaction with the text string causes display of identifiers of media assets corresponding to the text string.

Abstract: Robust techniques for the collection, storage, and processing of data from disparate UAS data sources in an unmanned aircraft systems (UAS) operations environment. A data-agnostic platform hosts a plurality of clients and client services. Baseline configurations and customizations are input to configure the platform for collection, retention, and/or processing of the data, and the client services are automatically configured based in part on those baseline configurations and customizations. Client services are logically arranged within each device memory as a plurality of operational groupings with a predetermined sequence order and a predetermined priority and executed according to the predetermined sequence order and predetermined priority. Data from the data sources is translated into customized data based at least, in part, on the configuration information, and validated for storage.

Abstract: Systems and methods are provided for creating the composite document and verifying of digital documents on blockchain. A request for verification is received from the user through at least one of a web link or button provided on the document. The composite document containing original content and corresponding embedded information in the metadata is also received along with the request. Upon a receipt of the composite document, the embedded information is retrieved from the metadata of the received document based on the characteristics of the embedded information. The retrieved document is then sent to the verification server to initiate the process of verification. Upon verification of the authenticity of the content, the results are provided to the system, which is then displayed over a user interface. Along with the authenticity of the content, the issue key of the issuing authority, if available, which issues the digital composite document, also gets verified, as an additional non-mandatory step.

Abstract: A system, apparatus, and a method for training with multi-modal data in a relational database, including generating a first database including a multi-view of the multi-modal data, retrieving a second set of data from an external source via a network, and training a first model according the first database and the second set of data. The first model outputs relationships of the first database with the multi-view and the second set of data.

Abstract: Provided are a computer-implemented method, a computer program and a system for determining a knowledge graph query having a response conforming to a plurality of training samples. The method may comprise receiving a knowledge graph; receiving the training samples, wherein each of the training samples is a relation, wherein each value in the training samples corresponds to one of the nodes of the knowledge graph, wherein the training samples include one or more positive training samples and one or more negative training samples; identifying one or more variables from the training samples.

Abstract: Presented are techniques of identifying, processing and displaying data point clusters associated with map information in an efficient manner. Methods and systems are disclosed which process map information to identify clusters of requested data points for display, based on iterative clustering and filtering of the data points. Methods and systems are also disclosed which generate polygons representing the clusters. The amount of data to be processed and/or displayed can be reduced, without loss of any associated information content in a displayed map.

Abstract: Embodiments are directed towards a system and method for a cloud-based front end that may abstract and enable access to the underlying cloud-hosted elements and objects that may be part of a multi-tenant application, such as a search application. Search objects may be employed to access indexed objects. An amount of indexed data accessible to a user may be based on an index storage limit selected by the user, such that data that exceeds the index storage limit may continue to be indexed. Also, one or more projects can be elastically scaled for a user to provide resources that may meet the specific needs of each project.

Abstract: The disclosed search engine and search engine system apply a variety of criteria to find specific information within a full-text dataset, even when its user cannot recall the exact text or exact spelling of the desired information. The criteria cause retrieval of text not only when the sequence of words in the query matches the sequence of words in the text identically but also when the difference between sequences is that one of the words in a sequence is missing, added, replaced, or replaced with a synonymous word or a word having phonetic similarity. Another criterion is that the two words in the query sequence differ in order from the two words in the text sequence to be retrieved. The above criteria are applied after stop list words are disregarded. The search engine accordingly enables a user to find text more easily in large full-text datasets by inexact text searching.

Abstract: A system and method for automatically detecting misinformation is disclosed. The misinformation detection system is implemented using a cross-stitch based semi-supervised end-to-end neural attention model which is configured to leverage the large amount of unlabeled data that is available. In one embodiment, the model can at least partially generalize and identify emerging misinformation as it learns from an array of relevant external knowledge. Embodiments of the proposed system rely on heterogeneous information such as a social media post's text content, user details, and activity around the post, as well as external knowledge from the web, to identify whether the content includes misinformation. The results of the model are produced via an attention mechanism.

Abstract: Apparatus and methods for generating a holographic structure are provided. The methods may include retrieving datasets stored in an object-based database. Each dataset may store a record of an interaction between a customer and an entity. The methods may include running a first routine and a second routine on the retrieved datasets to generate a holographic token (“HT”). The HT may store user questions and an emotion. In response to an edge gateway receiving a request, from an edge device associated with the customer, to establish a communication session leveraging extended reality capabilities, the methods may include activating a representative device to establish a communication session with the edge device. The methods may also include triggering the representative device to display a holographic structure for viewing via the representative device that includes a facial image displaying the emotion and the subset of the extracted user questions.

Abstract: Methods, apparatus, and processor-readable storage media for query processing based on a stochastic prediction model are provided herein. An example computer-implemented method includes maintaining information associated with a set of database operators corresponding to one or more historical query plans, wherein each of the historical query plans is associated with processing of a corresponding historical query in a database; building, based on the maintained information, a data structure comprising probabilities of each database operator in the set transitioning to each of one or more of the other database operators in the set; obtaining a new query to be processed in the database; applying a stochastic prediction algorithm to identify, from among the historical query plans, at least one candidate query plan for the new query based on the data structure; and executing the at least one candidate query plan to access data from the database for the new query.

Abstract: Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.

Abstract: The present disclosure provides systems and methods for data analysis. An example method may comprise receiving a data stream comprising a plurality of records. A record of said plurality of records may comprise a plurality of attributes. The method may further comprise classifying each of said plurality of attributes as a dimension or a measure. The method may further comprise dividing said plurality of records into a plurality of time periods. The method may further comprise, for a time period of said plurality of time periods, generating one or more segments of records. Each segment of the one or more segments may comprise records having a combination of dimensions with unique values as compared to other segments of said one or more segments. The method may further comprise applying an algorithm to said one or more segments to generate an output. The method may further comprise displaying, on a graphical user interface, a graphical representation of said output to a user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for accessing a relational database using requests that conform to a non-structure query language syntax. In one aspect, a method includes receiving, from a client, a first access request that conforms to a NoSQL syntax for accessing a wide column store, wherein the first access request comprises a first event feature and a first attribute feature that are related to the wide column store, and the first attribute feature comprises a column family feature of the wide column store; translating the first access request into a second access request that conforms to a SQL syntax, wherein the second access request comprises a second event feature corresponding to the first event feature and a second attribute feature corresponding to the first attribute feature; and forwarding the second access request to a relational database.