Abstract: According to embodiments of the present disclosure, a method, apparatus, device and storage medium for content presentation are provided. The method comprises presenting, in a first display region of a content presentation page of an application, at least a portion of a first set of content items along a first arrangement orientation. The method further comprises presenting, in a second display region of the content presentation page of the application different from the first display region, at least a portion of a second set of content items along a second arrangement orientation different from the first arrangement orientation.

Abstract: The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method may include initiating a writing assistant application in response to input received from a user; receiving a first user input, wherein the first user input includes a collection of two or more words that convey at least one idea; automatically constructing, using one or more trained models providing a natural language generation function, a first complete sentence option that expresses the at least one idea; causing the first complete sentence option to be shown to the user via the display; receiving a second user input, and, in response to the received second input; and causing a second complete sentence option, different from the first complete sentence option, to be shown on the display.

Abstract: A task prioritized experience replay (TaPER) algorithm enables simultaneous learning of multiple RL tasks off policy. The algorithm can prioritize samples that were part of fixed length episodes that led to the achievement of tasks. This enables the agent to quickly learn task policies by bootstrapping over its early successes. Finally, TaPER can improve performance on all tasks simultaneously, which is a desirable characteristic for multi-task RL. Unlike conventional ER algorithms that are applied to single RL task learning settings or that require rewards to be binary or abundant, or are provided as a parameterized specification of goals, TaPER poses no such restrictions and supports arbitrary reward and task specifications.

Abstract: The present disclosure generally relates to content-based tactile outputs. In some embodiments, user interfaces associated with content-based tactile outputs are described. In some embodiments, user interfaces associated with end-of-content tactile outputs are described. In some embodiments, user interfaces associated with moving a user interface in response to different types of input are described. In some embodiments, user interfaces associated with adjustable item-based tactile outputs are described. In some embodiments, user interfaces associated with input velocity-based tactile outputs are described.

Abstract: A domain processing system receives or collects raw data containing sample domains each having a known class identity indicating whether a domain is conducting an email campaign. The domain processing system extracts features from each of the sample domains and selects features of interest from the features, including at least a feature particular to a seed domain and features particular to email activities over a time line that includes days before and after a domain creation date. The features of interest are used to create feature vectors which, in turn, are used to train a machine learning model, the training including optimizing a neural network structure iteratively until stopping criteria are satisfied. The trained model functions as an email campaign domain classifier operable to classify candidate domains with unknown class identities such that each of the candidate domain is classified as conducting or not conducting an email campaign.

Abstract: Embodiments herein describe a learnable transform block disposed before, or in between, the neural network layers to transform received data into a more computational-friendly domain while preserving discriminative features required for the neural network to generate accurate results. In one embodiment, during a training phase, an AI system learns parameters for the transform block that are then used during the inference phase to transform received data into the computational-friendly domain that has a reduced size input. The transformed data may require less compute resources or less memory usage to process by the underlying hardware device that hosts the neural network.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a design language model and a generative language model to generate digital design documents with design variations. In particular embodiments, the disclosed systems implement the design language model to tokenize the design of a document into a sequence of language tokens. For example, the disclosed systems tokenize visual elements and a layout of the document—in addition to optional user-added content. The generative language model utilizes the sequence of language tokens to predict a next language token representing a suggested design variation. Based on the predicted language token, the disclosed systems generate a modified digital design document visually portraying the suggested design variation. Further, in one or more embodiments, the disclosed systems perform iterative refinements to the modified digital design document.

Abstract: A teaching data extending device includes: a relationship acquiring unit that obtains a relationship between a plurality of features included in each of a plurality of teaching data; a feature selecting unit that selects any one or more of the plurality of features based on the relationship; and a teaching data extending unit that generates, for one or more teaching data, new teaching data in which a value of the feature selected by the feature selecting unit is replaced with a value of the feature in another teaching data classified in a same class.

Abstract: A system includes processing circuitry; and a memory connected to the processing circuitry, wherein the memory is configured to store executable instructions that, when executed by the processing circuitry, facilitate performance of operations, including receive a policy template identifier; receive network element selections; receive network element filter parameters; receive network event parameters; receive conjunctive operation parameters; receive action configuration parameters; and create a network policy template to monitor event messages and perform an action based on the action configuration parameters.

Abstract: The system receives a message having a sender and a recipient. The system identifies entities associated with the message and associated with any content that is associated with the message. The system determines whether to, and how to, modify the message based on relationship information among the sender, the recipient, and any entities identified in the message or components of the message. A relationship between a sender and recipient may be determined using, for example, a database of relationship information. The system modifies, for example, text, images, or video of the message to generate the personalized message. The personalized message include the original message along with context information to help indicate the relevance of the message to the recipient. The context information can include text, images, video, or other information. To illustrate, the context information can include keywords or identifiers that indicate entities associated with the message.

Abstract: A system and method for electronic document management including: creating an executable document object, wherein the executable document object comprises at least one programmable element; constructing an interaction schema object, wherein each interaction schema comprises: executable logic and a trigger as part of an inbound interaction schema or an outbound interaction schema that associates an external resource with the executable document object; and bundling the interaction schema object with the executable document object.

Abstract: Systems, methods and products for accessing a set of electronic document templates, identifying instances of common document content such as content items which are semantically similar, and generating component templates containing the common content. Semantically similar content may be identified by analyzing content for factors such as expressed sentiment, included keyphrases, recognizable entities, expressed topics, assigning values to content based on these factors, and determining similarity based on comparisons of the assigned values. Component templates may also be generated based on types of content that include identical text or images, content that has a predefined level of similarity rather than being identical, content that has common rules, scripting logic or variables, metadata, etc. The component templates may be generated automatically, or in response to user instructions.

Abstract: In embodiments of statistics chart row mode drill down, a first interface is displayed in a table format that includes columns and rows, where each row is associated with an event and each column includes field for a respective event. The rows can further include one or more aggregated metrics representing a number of events associated with a respective row. A row can be emphasized in the first interface and, in response a menu can be displayed with selectable options to transition to a second interface, where the data displayed by the second interface is based on an option selected from the menu.

Abstract: Embodiments of systems and methods for the conversion of documents to reusable content types are disclosed herein. Embodiments may extract the content and metadata of the original document and identify a set of reusable resources from the content and metadata. These reusable resources can each be one of a set of content types common across a plurality of document authoring platforms. Each of the content types may be represented using a content type object associated with that content type. The reusable resources identified by the parsing of the content and metadata of the original document may thus be represented with corresponding reusable objects in a content type format common to a plurality of document authoring tools.

Abstract: A computing system receives a request to generate one or more narrative frameworks for a worksheet. The worksheet is hosted by a third party server. The computing system interfaces with the third party server to retrieve data associated with the worksheet. The computing system infers attributes of the worksheet from the retrieved data. The attributes correspond to a type of data represented in the worksheet. The computing system generates a narrative template for the one or more narrative frameworks. The computing system generates one or more data variables for the one or more narrative frameworks based on the generated narrative template. The computing system constructs the one or more narrative frameworks by selectively retrieving data from the worksheet for each data variable of the one or more data variables in the narrative framework.

Abstract: Techniques can capture, store, and regenerate a view of content in applications (e.g., native applications) on devices (e.g., a mobile device). A capture management system can produce compact data storage of views of content in an application on a device and the efficient search thereof of views of content provided in the application. The views of content can be translated into a transportable data layer, such as HTML, and captured using delta encoding to identify changes and modifications in content accessed in any application at a device. A capture management system can accurately and efficiently capture events displayed for an application at a device and send the events to a server-side system, which can combine the events to reassemble the events. A user interface and user interaction events on an application at a mobile device can be reassembled for the purpose of playback and analysis of interactions with the application.

Abstract: Systems and methods are disclosed for a format agnostic document viewer with document translation that provide the ability for a user to either select a portion of the viewed document text in the format agnostic viewer and have it translated into a selected language, or for the user to have the entire document presented in the format agnostic viewer in translated form. The translated text may be shown side-by-side with the original document text in the format agnostic viewer, or can replace the original text on the visible page in the format agnostic viewer. The translated text may be formatted according to, or displayed with, some enhancements to account for differences in the original text and translated text or other differences.

Abstract: Improved systems and methods for improved management of models for data science can facilitate seamless collaboration of data science teams and integration of data science workflows. Systems and methods provided herein can provide an open, unified platform to build, validate, deliver, and monitor models at scale. Systems and methods of the present disclosure may accelerate research, spark collaboration, increase iteration speed, and remove deployment friction to deliver impactful models. In particular, users may be allowed to visualize statistics about models and monitor models in real-time via a graphical user interface provided by the systems.

Abstract: A computing system and a method remotely generate documents wherein a user establishes communication with the computing system from a user device and is instructed to enter the information in a document template displayed on the user device. The user device is enabled to select a document type and a document format. The document types include a conventional check and a cashier's check. The document formats include a printed hard copy and an electronic document.

Abstract: A collaborative content management system (CMS) is disclosed herein for generating templates for received documents. The disclosed CMS recognizes that a document selected by a user for processing was previously processed by the CMS and that a user has previously added particular overlaid fillable fields to the document. When the determination is made, the system generates a recommendation to create a template of the document with the previously added overlaid fillable fields. In some embodiments, the CMS makes the recommendation to generate a template when the user creates, in a received document, identical overlaid fillable fields or field types to those created in the previously processed document.