Abstract: A system including a direct message sending engine (DMSE) and a method for directly sending messages with minimal user input are provided. When a user invokes an input interface proximal to an input message field (IMF) of a user application, the DMSE renders a list of preconfigured messages on the input interface. When the user performs a selection action on at least one of the preconfigured messages on the input interface, the DMSE receives the selection action and in response, the DMSE transforms properties of the IMF, commits the preconfigured message(s) to the IMF, and simultaneously and directly sends the preconfigured message(s) to a recipient device. On committing the preconfigured message(s) to the IMF, the DMSE simultaneously executes a programmatic simulation of an action key press, thereby directly sending the preconfigured message(s) to the recipient device free of a manual user input.

Abstract: Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes receiving an audio input including a natural-language user input and identifying an intent object of a set of intent objects. The intent object may be derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving a result response indicating whether the task was successfully performed, and providing an output indicating whether the task was performed.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

Abstract: An analytics server is disclosed that enables natural language queries (NLQs) to be used to access key performance indicator (KPI) data. The analytics server includes a graphical user interface (GUI) that presents a set of KPIs associated with a user. The GUI includes suitable user interface elements to enable the user to provide natural language queries regarding these KPIs. The user interface elements provide the user with suggested NLQs based on, for example, KPIs to which the user has access and/or previous NLQs of the user. In response to the analytics server receiving a suitable NLQ from the user, the analytics server generates an appropriate database query to retrieve the KPI data requested by the NLQ. The GUI is then updated to present a visual representation (e.g., a bar graph, a pie chart, a trend line, a single value) of the retrieved KPI data.

Abstract: What is disclosed is a system for randomization of one or more display parameters for a keypad displayed on a touchscreen of a mobile device, said system comprising a randomization subsystem to randomly select one or more variables related to at least one of said one or more display parameters, said one or more display parameters comprising a location of the keypad relative to said edge of said touchscreen; a size of said keypad; one or more sizes of one or more buttons within said keypad, and one or more positions of one or more groups of the one or more buttons within said keypad.

Abstract: Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.

Abstract: Apparatuses, systems and methods are described herein for separately collecting and storing form contents. Different information may be collected from a user on a form. Based on determining that portions of the form request private information, an extended reality (XR) environment may be provided to the user. The user may provide private information via an input method in the XR environment. The user may provide non-private information using a different input method outside of the XR environment. The private information may be processed and stored in a different database as compared to the non-private information. The database storing private information may have a higher security standard than the database storing non-private information.

Abstract: The embodiments described herein provide technologies and techniques for using available data (from a variety of data sources) to provide an integrated and virtual reality experience.

Abstract: A method for playing audio source, executed by one or more processors, comprising: playing an audio source set including a first audio source and a second audio source; displaying a first object for an interaction with a user; obtaining an input for the first object; and adjusting at least a part of the audio source set based on the input; wherein in order that a selective change to the audio source set is given by the interaction with the user, when a first input related to the first object is obtained, the audio source set is adjusted so that an output level of the first audio source selected by the first input is highest, wherein in order that a random change to the audio source set is given by the interaction with the user, when a second input related to the first object is obtained, a random audio effect is applied to at least one audio source included in the audio source set.

Abstract: Techniques for sharing across environments are described. Generally, different types of input may be employed to share content, such as using a pen, a stylus, a finger, touchless gesture input, and so forth. According to various embodiments, content may be shared between devices in local proximity, and/or between devices that are remote from one another. In at least some embodiments, content is shared based on an identity of a sharing user and/or sharing device.

Abstract: Various methods, apparatuses/systems, and media for managing vulnerability data are provided. A processor allows ingestion of vulnerability data from an external database into a local database which then makes the vulnerability data available for review via a graphical user interface (GUI). The processor also compares a risk score associated with each vulnerability included in the vulnerability data to a predefined threshold value; modifies, based on a determination that the risk score exceeds the predefined threshold value, the risk score by receiving user input via the GUI in accordance with risk information applicable to systems managed and operated by an organization; and updates a list of vulnerabilities of the vulnerability data stored in the local database by supplementing with the modified risk score without overwriting the risk score associated with each vulnerability initially received from the external database.

Abstract: An intelligent forecasting system that includes sources of financial and non-financial input data and a user interface generator for generating user interfaces having window elements that display the input data. The window element includes a persistent navigation pane element having vertically stacked actuatable navigation soft buttons for accessing one or more portions of an intelligent forecasting. The navigation soft buttons include, among other buttons, an Outlier Treatment soft button for processing the input data by applying thereto a statistical processing model to detect outliers in the input data, a Model Selection soft button for selecting a statistical forecasting model to apply to the input data, a Signal Explorer soft button for selecting a signal transformation method for transforming the input data, a Model Prediction soft button for selecting one of the statistical forecasting models to apply to the input data, and a Simple Prediction soft button for automatically generating forecasts.

Abstract: This application discloses a video file playing method and apparatus, and a storage medium. The video file playing method includes playing an animation file frame by frame according to a playback time of a video file, the video file comprising at least one displayed object, and the animation file comprising an animation element generated according to the displayed object; determining click/tap position information of a screen clicking/tapping event in response to the screen clicking/tapping event being detected; determining an animation element display area corresponding to the click/tap position information of the screen clicking/tapping event in the animation file according to the click/tap position information; determining, according to the corresponding animation element display area, an animation element triggered by the screen clicking/tapping event; and determining an interactive operation corresponding to the triggered animation element and performing the interactive operation.

Abstract: Cloud-based multi-tenancy computing systems and methods for providing response control and analytics are disclosed. An exemplary method includes capturing a first set of data based on activities that occur in the activated response center related to the client's actions taken in response to the event; generating a first set of analytics based on the captured first set of data; capturing a second set of data based on activities that occur in a plurality of response centers of client tenants related to the clients' actions taken in response to the events that occurred to them; generating a second set of analytics based on the captured second set of data; and based on the first and second set of analytics produced by the response system, generating and transmitting an updated menu of suggested actions for responding to a future event, to one or more of the clients.

Abstract: Aspects of the present invention allow the customization binary application user interfaces without modification of the underlying source code. Embodiments described herein can provide, for instance, accessibility services such as touchless operation of compiled applications with minimal intervention. Described embodiments can automatically interface with the touch-based operating system to generate hands-free commands that, when detected (e.g., voice detection), can cause corresponding touch-based commands to be executed. Embodiments may utilize audio inputs, by way of example, to facilitate hands-free interaction with the touch-based operating system and applications executing thereon.

Abstract: Techniques for communicating with a third-party management database are described herein. According to an embodiment, a computer receives a search-style query, searches the third-party management database, retrieves multiple computer-readable database search strings, displays the computer-readable database search strings, and receives a selected computer-readable database search string. The computer may receive data associated with one or more third party surveys, and questions and answer options may be displayed according to various metadata attributes associated with previously-selected answer options.

Abstract: In one embodiment, techniques are provided for improved security threat modeling and threat intelligence for infrastructure managed by ICSs. The techniques may leverage an existing model of an ICS created in a CAD application, add to the model security properties specifying configuration of respective electronic components of the ICS, and analyze the resulting combination, together with information from a threat database to automatically generate output such as a threat model diagram, threat model report or an interactive threat intelligence dashboard. A visualization of the output may be displayed together with, or include, a graphical rendering of the infrastructure managed to aid in its interpretation.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that generate dynamic tool-based animated tutorials. In particular, in one or more embodiments, the disclosed systems generate an animated tutorial in response to receiving a request associated with an image editing tool. The disclosed systems then extract steps from existing general tutorials that pertain to the image editing tool to generate tool-specific animated tutorials. In at least one embodiment, the disclosed systems utilize a clustering algorithm in conjunction with image parameters to provide a set of these generated animated tutorials that showcase diverse features and/or attributes of the image editing tool based on measured aesthetic gains resulting from application of the image editing tool within the animated tutorials.

Abstract: Media, methods, and systems are disclosed for contextual discovery and design of application workflow. An event message associated with a user interface control and with an instance of an event is displayed in a communication channel of a group-based communications system. In response to detecting an actuation, by a user, of the user interface control associated with the event message, a workflow creation interface is displayed to configure a new workflow triggered by an instance of an event associated with the event message. Inputs are received from the user, such that the inputs are associated with one or more user-created workflow operations. In response to detecting a triggering event corresponding to the new workflow, the new workflow is executed to carry out the user-created workflow operations.

Abstract: Techniques are described herein that are capable of iteratively updating a collaboration site or a template that may be used to create a new collaboration site. The collaboration site or the template may be updated to include new features based on (e.g., based at least in part on) a likelihood that the new features will be valuable to users. The likelihood that new features will be valuable to the users may be determined (e.g., derived) using heuristics, machine learning, intelligent user experiences, and/or an understanding of user behavior gathered by a service that provides the collaboration site or the template. The likelihood may be compared to a likelihood threshold to determine whether the collaboration site or the template is to be updated. In accordance with this example, the update may be made if the likelihood is greater than or equal to the likelihood threshold.