Abstract: Various examples are directed to livestock management systems and methods. A first user computing device may display a GUI comprising a first animal visual element. The first animal visual element may correspond to the first animal and indicate a first colostrum feeding of the first animal. When a user selects the first animal visual element, the user computing device may display a first colostrum input screen for receiving first colostrum data. The user computing device may also modify the first animal visual element to indicate the time status of the first testing action for the first animal.

Abstract: A system and a method of displaying a predictive answer in a conversation window, are described. The method includes transmitting, to a device executing an application, a first message to cause the device to display a conversation window within the application, wherein the conversation window has a character entry field. The method includes generating, by one or more processors, a predictive answer based on a Uniform Resource Locator (URL) associated with the conversation window or a URL shape of the URL, wherein the predictive answer includes a predicted inquiry of a user. The method includes transmitting, to the device, a second message to cause the device to display the predictive answer in the conversation window.

Abstract: Example techniques may involve tuning a music discovery dial. An implementation may include displaying, on the touch-sensitive circular graphical display, a circular graphical user interface including multiple wedge-shaped selectable regions arranged around the circumference of the circular graphical user interface, each wedge-shaped selectable region corresponding to a respective streaming audio channel. The implementation may include detecting a touch input in a circular motion to the touch-sensitive circular graphical display and causing a paired playback device to play back an audio content snippet corresponding to each selectable regions that the touch input enters. The implementation may further include switching the playback device from playing back a given pre-cached audio content snippet to playing back the full audio track from one or more servers of a streaming audio service.

Abstract: Some embodiments include a dental laser system with a controller coupled to an electromagnetic energy source, where the controller's graphical user interface enables a user to provide input to control operating parameters of the electromagnetic energy source. In some embodiments, the graphical user interface can render a controller enabling user control of a plurality dental laser system parameters with a single action or input. In some embodiments, the user's interaction with a graphical portion of the controller sufficient to control more than one operational parameter of the dental laser system without a requirement for the user to provide an additional or substantially simultaneous interaction with any other controller or portion of the graphical user interface. Further, the graphical content has a graphic indicative of a mode, an operational status, and/or an operational parameter of the dental laser system that is displayed, updated, or animated by the controller.

Abstract: A computing device includes a display, and a processor coupled to the display. The processor is configured to monitor user input for a template keyword that matches with one or more templates, and display on the display one or more application service options in response to the template keyword matching the one or more of the templates. Each application service option corresponds to an action that can be performed. The processor provides template content data to a server, with the template content data defining the action corresponding to the template associated with the application service option selected by a user of the computing device.

Abstract: A method and an apparatus for adjusting a view for a target device, an electronic device, and a computer-readable medium are provided by the embodiments of the present disclosure. A specific implementation of the method includes: determining whether a currently playing video is a video of a first type in response to detecting a change of a posture of the target device; and adjusting a display direction of the video-stream-play view to match the posture of the target device and adjusting a display position and/or transparency of the at least one video-stream-play interactive control in response to determining that the currently playing video is the video of the first type. This implementation achieves matching of the view with the posture of the target device and enhances adaptability of the video-stream-play interactive control with the adjusted video-stream-play view.

Abstract: Methods and systems are described herein for populating application-specific information using overlay applications. For example, in order to relieve some of the difficulties users face in inputting information into mobile devices which may have smaller screen sizes and may not feature dedicated input mechanisms, the methods and systems described herein automatically populate application-specific information. The methods and systems do this using an application that presents an application overlay feature. That is, the application is accessible while a user is using another application (e.g., on the mobile device) and/or while a user is scrolling through other applications.

Abstract: Methods, systems, and computer-readable media provide a real-time Q&A interface, such as an online chatbot, either standing alone or as a live agent assistant, with predicative Q&A and resource suggestions. In one embodiment, the real-time Q&A interface uses data extracted from a user inquiry to identify and display a primary response, identify suggested inquiries from a knowledgebase and provide a user-selectable suggested inquiries indicator, and identify suggested content items from related content libraries or webpages and provide user-selectable suggested content item indicators. In one embodiment, the suggested content items include related videos and links to webpages with related content.

Abstract: Automatically determining, with reduced (or no) input from the users of a group, a set of activity instances that the group of users has interest in performing. A representation of the set of activity instances can be rendered for consideration by a group, and the set of activity instances can be determined even when only limited criteria are specified. Optionally, in response to affirmative user interface input(s) directed to a rendered representation of the set of activity instances, one or more of the activity instances of the set can be confirmed through limited input(s) of one or more users of the group. Further, the automatic determination of the set of activity instances is optionally performed using one or more trained machine learning models that are trained to optimize a likelihood that the users of the group will find the set satisfactory.

Abstract: A visualization system generates for display one or more radial maps that represent data values for a plurality of parameters measured for groups of entities. Each group of rows of the radial map represents a group of entities for whom the parameters are measured and compared against a baseline or control group, while each column represents a measured parameter. If the visualization system determines that an entity has a data value for a measured parameter that deviates from the control group value by more than a threshold amount, the system visually distinguishes the outlier value from the other geometric shapes in the radial map. Additionally, two or more radial maps may be simultaneously displayed on a visual interface based on correlations between data points for groups of entities.

Abstract: A shovel includes a lower traveling body, an upper turning body turnably mounted on the lower traveling body, a cab mounted on the upper turning body, a display device provided in the cab and configured to display a setting screen associated with work assistance, an audio input device provided in the cab, and a hardware processor configured to perform audio recognition. The hardware processor is configured to recognize speech input through the audio input device and executes a process related to the setting screen according to a recognition result.

Abstract: A management system of a computing device provides enhanced functionality via selectable icons (e.g., tiles), presented on a home screen, that may be overlaid to perform overlay operations such as data transfer, payment, and/or granting of certain authorizations or permissions. Users are able to more readily perform cross-application and/or cross-entity operations via, for example, the operating system of a computing device without needing to engage with as many entities (or applications thereof). Tile overlay operations may be managed and reviewed via an application.

Abstract: Systems and methods for remote display resource management can allow a remote display to be dynamically modified according to user eye movements. A user device can receive graphical data for a remote display and present the remote display on a local display. A remote display module (RD module) can detect dynamic content in the graphical data. The RD module can monitor eye movements of a user using an eye tracker device to determine when a user is not looking at the dynamic content. When a user looks away from the dynamic content for more than an allowed amount of time, the RD module can send instructions to a server to reduce the quality of the dynamic content in the remote display. The RD module can send instructions to restore the quality of the dynamic content after determining that the user is looking at the dynamic content.

Abstract: A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.

Abstract: Implementations relate to training a model that can be used to process values for defined features, where the values are specific to a user account, to generate a predicted user measure that reflects both popularity and quality of the user account. The model is trained based on losses that are each generated as a function of both a corresponding generated popularity measure and a corresponding generated quality measure of a corresponding training instance. Accordingly, the model can be trained to generate, based on values for a given user account, a single measure that reflects both quality and popularity of the given user account. Implementations are additionally or alternatively directed to utilizing such predicted user measures to restrict provisioning of content items that are from user accounts having respective predicted user measures that fail to satisfy a threshold.

Abstract: Integration code usable to cause a computing device to determine which category from a plurality of categories corresponds to an interface of an interface provider is generated based at least in part on output from a machine learning algorithm trained to categorize interfaces. The computing device is caused, by providing the integration code to the computing device, to execute the integration code to cause the computing device to evaluate characteristics of an interface of an interface provider, determine a category of an interface of the interface provider, and interact with the interface in a manner that accords with the category.

Abstract: A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a 5 plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.

Abstract: A model training service of a provider network may receive content items as training data. For example, the content items may be documents with certain portions labeled as stale. The model training service may train one or more different types of models using those content items (e.g., natural language inference model, paraphrasing detection model, named entity recognition model). The model training service may then provide the model(s) to a content staleness check (CSC) service. The CSC service may receive, from a client, a request that indicates one or more content items to be checked for staleness. The CSC service may process the content items by the model(s) to generate one or more indications of staleness of the content item. The CSC service may generate a response based on the indications of staleness. For example, the CSC service may generate a document with certain portions highlighted as stale content.

Abstract: The purpose of the present invention is to train a learning model and thereby create a utility model, and assist with an operation for making practical use thereof. Provided is a computer system 50 for preparing learning models in one or more learning units 102; receiving an input of learning data from a data source 111, and training said one or more learning models using the learning data. One or more utility models are finalized on the basis of said one or more trained learning models, and said one or more utility models are deployed to one or more inference units 114. Each of said one or more inference units 114: receives an input of utility data from the data source 111; provides the utility data to the utility models and executes an inference; and transmits, to a data target 113, inference result data outputted from the utility models.

Abstract: A training system includes: a first training dataset including first entries, wherein each of the first entries includes: a first sentence; a second sentence; and an indicator of a relationship between the first and second sentences; a training module configured to: generate a second dataset including second entries based on the first entries, respectively, wherein each of the second entries includes: the first sentence of one of the first entries; the second sentence of the one of the first entries; a first surface realization corresponding to first facts regarding the first sentence; the indicator of the one of the first entries; and train a model using the second dataset and store the model in memory.