Abstract: Disclosed herein are system, method, and computer program product embodiments for building a stateless connector to a stateful backend system. The stateless connector allows developers to deploy mobile applications that interact with the stateful backend system without refurbishing the backend system to accommodate stateless design methodologies and access functions. The stateless connector thus provides a bridge between a stateless application and a stateful backend system without requiring any risky and potentially disruptive updates the backend system. The stateless connector may be generated and deployed automatically based on a recording of user interactions with stateful application server. This saves an enormous amount of time and effort in the application development process and allows application developers to focus their time and efforts on the presentation components and business logic of the mobile application.

Abstract: An approach for providing flexible durability operations for a data storage application can include requests to perform logging operations of data storage application having an indication of a durability mode to use for the logging operation. The logging operation can be initiated according to the indication of the durability mode and a callback indicating log write completion can be called according to the indication of the durability mode.

Abstract: A method clusters each character on a document into one of a plurality of clusters based on widths of at least a portion of the characters on the document and measures distances between characters on the document. A threshold for each of the plurality of clusters is calculated based on at least a portion of the distances between characters in each cluster. The method then segments characters into units using the thresholds for the plurality of clusters. A distance between two characters in the document is compared to a threshold for a cluster to classify the two characters as being part of a unit when the distance is less than the threshold and not being part of the unit when the distance is greater than the threshold. Then, the method performs a recognition process on the document using the units.

Abstract: Various embodiments of systems and methods for decentralized image management are described herein. The method includes generating, distributing, and retrieving images on peer-to-peer network. Request for generating an image is received. Multiple components/layers of a to-be-generated image is identified. A layer is stored as a file. Files corresponding to the layers are packaged as an image file representing the image. The packaged image file and/or files of respective layers are distributed across the network, e.g., across a plurality of available nodes upon receiving a distribution command/request. When a request for retrieving the image is received, the nodes storing the multiple layers of the image are identified. The layers are retrieved from the identified multiple nodes. Using the retrieved multiple layers, the image is recreated/generated.

Abstract: Configuring a graphical user interface according to a user's preferences is described herein. Systems and methods are provided for generating a dynamically varying themed interface for a user environment; defining appropriate color palettes associated within a brand definition of the user environment; and, providing one or more configuration settings for the rendering engine.

Abstract: Various examples are directed to systems and methods for secure communication sessions between a web application and a server. A session identifier routine executing at a computing device may receive a first request message comprising a session identifier field, the session identifier field comprising a client session identifier describing a communication session between the web application executing at the computing device and the server computing device. The session identifier routine may transform the client session identifier to a server session identifier using session identifier transformation data accessed from session vault persistence at the computing device. The session identifier routine may write the server session identifier to the session identifier field of the first request message and initiate sending the request message including the server session identifier to the server computing device.

Abstract: A method of enhancing one or more fields of a master database record based on a consumption of one or more data points provided via a third-party data subscription service is disclosed. An aggregated view corresponding to a master database record is accessed. The aggregated view identifies correspondences between the one or more fields of the master database record and the one or more data points provided via the third-party data subscription service. Based on a determination that one or more consumption criteria are met, the one or more data points are consumed and stored in a central database. The one or more fields of the master database record are updated based on the one or more consumed data points. The enhanced master database record is provided via a network to one or more computerized processes associated with one or more consumers of the enhanced master database record.

Abstract: A data storage and retrieval system for a computer memory configured according to a document store adapted to contain documents. The document store includes a document data structure containing a header and a document having one or more members. The document store further includes a chain of one or more differential data structures, each having a header and at least one updated member. The updated member has a value which is updated relative to a value in a corresponding member having a same identifier in the document data structure or in a preceding differential data structure in the chain. A header of each of the differential data structures includes a pointer to the document data structure or the preceding differential data structure in the chain, and a flag indicating that each of the differential data structures contains less than all of the members of the document data structure.

Abstract: A computer-implemented method can receive a request from a robotic process automation engine to identify a target user interface control element in a webpage represented by a current master data frame. The current master data frame comprises a current document object model (DOM). The method can determine that a target user interface control element identifier associated with the target user interface control element is absent in the current DOM. The method can retrieve an archived version of the target user interface control element from an archived master data frame of the webpage. The method can find an equivalent user interface control element within the current master data frame based at least on the archived version of the target user interface control element, and output an equivalent user interface control element identifier associated with the equivalent user interface control element.

Abstract: Various examples are directed to systems and methods for network virtualization for web applications. For example, a WAN controller may receive from a backend query processor, a first tenant user query table that describes a first set of query types for a first user. The first set of query types may comprises a first query type having a first computational weight and a second query type having a second computational weight less than the first computational weight. The WAN controller may determine that a first network path to a web application data center is less congested that a second network path to the web application data center. The WAN controller may send a first flow entry to a first network appliance on the first network path instructing the first network appliance on the first network path to send packets associated with queries of the first set of query types to a second network appliance on the first network path.

Abstract: Some embodiments provide a program that receives a query for records in a table having a value in a column of the table that is included in a set of values. The program further iterates though a hierarchical tree structure in order to identify a set of leaf nodes of the hierarchical tree structure based on the set of values. Each leaf node in the hierarchical tree structure includes data describing a superset of values in the column of the block of records associated with the leaf node. Each non-leaf node includes data describing a superset of the values described by the data in child nodes of the non-leaf node. The program also processes the query on a set of block of records in the table associated with the set of leaf nodes. The program further generates results for the query based on the processing.

Abstract: Physical block numbers are assigned to pages loaded into memory of an in-memory database. Thereafter, pages having a same size are distributed to one of a plurality of helper threads executing in parallel for processing if such pages having consecutive physical block numbers. Each of these helper threads can have a corresponding small page buffer. Contents of the respective small page buffers are later flushed to physical disk persistence when such small page buffers are full.

Abstract: Technologies described herein can be used to generate and distribute neural network models and executable code using feedback data received from one or more client computing devices. A neural network model can be generated by a server computer. Executable code can also be generated by the server that, when executed by a client computing device, causes the client device to generate a prediction using the neural network model. The server can transmit the model and code to one or more client computing devices. The server can receive feedback data from the client device(s) based on predictions generated by the client device(s) using the neural network model and the executable code. The server can generate an updated version of the neural network model and/or an updated version of the executable code base on the feedback data, and can transmit the updated model and/or the updated code to the client device(s).

Abstract: Various examples described herein are directed to systems and methods for analyzing text. A computing device may train an autoencoder language model using a plurality of language model training samples. The autoencoder language mode may comprise a first convolutional layer. Also, a first language model training sample of the plurality of language model training samples may comprise a first set of ordered strings comprising a masked string, a first string preceding the masked string in the first set of ordered strings, and a second string after the masked string in the first set of ordered strings. The computing device may generate a first feature vector using an input sample and the autoencoder language model. The computing device may also generate a descriptor of the input sample using a target model, the input sample, and the first feature vector.

Abstract: A system includes determination, based on a plurality of rows of a table, where each of the plurality of rows associated with a respective row_id represents a respective a node of a hierarchy, row_id pairs of each parent node-child node pair of the hierarchy, execution, based on the row_id pairs, of a depth-first traversal of the hierarchy to sequentially add each row_id of the plurality of rows to a hierarchy index and receive a NODE value associated with the added row_id, and, for each of the plurality of rows, update of a row based on the NODE value associated with the row_id of the row.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for using augmented reality-based operations to interact with and analyze real estate property, including modifications and additions to the interior of the property. One example method includes receiving, from an augmented reality-enabled application, a request identifying at least one digital improvement associated with a particular real estate property. A set of characteristics associated with the at least one digital improvement are identified, and a response including at least a portion of the identified set of characteristics associated with the at least one digital improvement and a digital object representing the at least one digital improvement is transmitted to the augmented reality-enabled application.

Abstract: Methods and apparatus, including computer program products, are provided for a distributed database application system. In some implementations, there may be provided a method which may include receiving, by a transaction controller defining a data access layer of a database and via an application server associated with a client interface, a request to modify data stored in the database, the transaction controller comprising an application programming interface (API); establishing, by the API, a virtual connection between the transaction controller and the application server, and a physical connection between the transaction controller and the database; providing, by the API to the application sever via the virtual connection in response to the request, a representation of the data; and executing, by the application server, the request, the executing comprising modifying, via the virtual connection, the representation of the data without modifying the data stored in the database.

Abstract: The present disclosure involves systems, software, and computer implemented methods for providing voice-enabled human tasks in process modeling. One example method includes receiving a deployment request for a workflow that includes a human task. The workflow is deployed to a workflow engine in response to the deployment request. An instance of the workflow is created in response to a request from a client application. The instance of the workflow is processed, including execution of the human task. The human task is added to a task inbox of an assignee of the human task. A request is received from the assignee to access the task inbox from a telecommunications system. Voice guidance is provided, to the assignee, that requests assignee input. Voice input from the assignee is processed for completion of the human task. Workflow context for the human task is updated based on the received voice input.

Abstract: A front end receives a request for data specifying a data type. A query handler retrieves data of the data type comprising a plurality of data records from at least one database. The query handler assigns a classification attribute to each data record using a pre-defined classification policy stored in a policy store. A discrimination detection engine statistically evaluates the classification attributes for the data to identify a mutual information metric. The query handler generates a listing of one or more discriminatory attributes and corresponding mutual information metric contributing to discriminatory data patterns based on the mutual information metric.

Abstract: User-generated input is received that includes a sequence of words associated with initiation of a computer-implemented event. Thereafter, such input is parsed using at least one natural language processing (NLP) model. This parsed input is then used by a machine learning model to determine a suggested template having a plurality of fields for initiating the event. The template can then be presented in a graphical user interface. Related apparatus, systems, techniques and articles are also described.