Abstract: A system to compare erythemal zones includes a multispectral camera to acquire a multispectral image of each compared zone and a computer processing device to retrieve the images acquired by the multispectral camera. The computer processing device includes a memory, a display, an input device and a microprocessor. The system further includes an image processing program configured to perform spectral de-mixing of the acquired images and isolating the erythemal component of the images, and a program to compare the images based on the intensity of the erythemal components of each image.

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: Systems and methods to utilize a machine learning model registry are described. The system deploys a first version of a machine learning model and a first version of an access module to server machines. Each of the server machines utilizes the model and the access module to provide a prediction service. The system retrains the machine learning model to generate a second version. The system performs an acceptance test of the second version of the machine learning model to identify it as deployable. The system promotes the second version of the machine learning model by identifying the first version of the access module as being interoperable with the second version of the machine learning model and by automatically deploying the first version of the access module and the second version of the machine learning model to the plurality of server machines to provide the prediction service.

Abstract: A terminal device sends, to a server, a request for obtaining details page content of first information, where the request includes an identifier of a user and an identifier of the first information. The server determines the details page content of the first information based on the identifier of the user and the identifier of the first information, where the details page content is different from preset details page content of the first information. The server sends the details page content of the first information to the terminal device. The terminal device displays a details page of the first information based on the details page content of the first information.

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: Disclosed embodiments may include a system for generating custom content. The system may generate a first webpage comprising first feature(s). The system may transmit the first webpage for display via a graphical user interface (GUI) of a user device. The system may iteratively, until a predetermined threshold is achieved: receive data corresponding to a first user; generate, by an encoder, encoded data based on the data; generate, by a decoder, second feature(s) based on the encoded data; modify the first webpage to generate a second webpage comprising the second feature(s); transmit the second webpage for display via the GUI of the user device; receive user feedback associated with the second webpage; and determine whether the user feedback exceeds the predetermined threshold. Responsive to the predetermined threshold being achieved, the system may transmit the latest version of the second webpage without requesting additional user feedback.

Abstract: An electronic device provides, to a display, data to present a user interface that includes a plurality of user interface objects, and a current focus on a first user interface object. While the display is presenting the user interface, the electronic device receives an input that corresponds to a movement of a contact across on a touch-sensitive surface. The electronic device, in response to receiving the input and in accordance with a determination that a first axis is a dominant axis, moves the current focus along the first axis by a first amount and along the second axis by a second amount. The amount of movement of the current focus along the second axis is reduced to a first non-zero amount by a scaling factor that is based on one or more inputs received prior to receiving the input.

Abstract: Systems and methods for computing a causal uplift in performance of an output action for one or more treatment actions in parallel are described herein. In an embodiment, a server computer receives interaction data for a particular period of time which identifies a plurality of users and a plurality of actions that were performed by each user of the plurality of users through a particular graphical user interface during the particular period of time. The server computer uses the interaction data to generate a feature matrix of actions for each user, and a set of confounding variables included to minimize spurious correlations. The feature matrix is then used to train a machine learning system, using data identifying a user's performance or non-performance of each action as inputs and data identifying performance or non-performance of a target output action as the output.

Abstract: Various embodiments of the disclosure relate to a method and apparatus for determining a chat mode based on real-time viewing video information output from a display device, and providing a customized chat room user interface based on the determined chat mode. The display device may include receiving a real-time viewing video and real-time viewing video information, determining a chat mode of a chat room corresponding to the real-time viewing video based on the real-time viewing video information, and outputting a user interface including at least one preset phrase or at least one emoticon based on the chat mode.

Abstract: A unified platform obtains, stores, and shares search results based on user profiles or groups with a common interest. User profiles or group profiles may be used to identify categories containing objects related to a common interest, and the objects may be selected for placement in a graphical user interface from which they may be purchased by or for the user. The objects may preferably be virtual objects stored in a virtual locker or other virtual display unit. Users are able to conduct web-based searches for products or services from different websites and store dimensional representations of virtual products or services in a unified platform.

Abstract: A computer system has a first machine learning module configured to predict a probability of a respective option being selected by a particular user if presented to that user via a computer app. A second machine learning module is configured to determine a respective confidence value associated with the probability. A third module uses the predicted probabilities and confidence values to determine at least one option to be presented to the particular user.

Abstract: Embodiments are disclosed for providing an interface with a personalized virtual personal assistant (VPA) via a computing system. The example method comprises assigning a plurality of virtual personal assistant (VPA) instances to a plurality of users, each VPA instance of the plurality of VPA instances operating concurrently. For example, assigning the plurality of VPA instances to the plurality of users may include retrieving a personalized VPA configuration for each user of the plurality of users based on a plurality of audio samples, each of the plurality of audio samples corresponding to a user of the plurality of users.

Abstract: A marine power pedestal is disclosed. The power pedestal is configured to connect to a mobile device comprising a main body, one or more electrical power units disposed in the main body and configured to conduct power to a marine vessel, one or more display screens, one or more sensors. A controller including a network interface is configured to communicate with a mobile device via a communication network, transmit data to a server via the communication network, and execute commands received, via the communication network, from the server or the mobile device.

Abstract: An information processing system includes a storage device that stores therein a trained model, and a processor. The trained model is trained to output a position and shape of an object in a training image based on training data. The training data is data in which the training image is provided with an annotation indicating the position and shape of the object. The training image is an image captured with an angle of view including the object whose position and shape are not clearly displayed in an image. The processor executes detection processing on a detection image to output detected information indicating the position and shape of the object. The processor then causes a display device to display the detected information superimposed on the detection image.

Abstract: The present disclosure is directed to positioning animated images within a dynamic keyboard interface. In particular, the methods and systems of the present disclosure can: receive, from a user device on which an application is executed, data indicating a context of: the application, and/or a dynamic keyboard interface provided in association with the application; identify, based at least in part on the data indicating the context, a plurality of different animated images, including an animated image comprising an advertisement, for presentation by the dynamic keyboard interface; communicate, to the user device, data indicating the plurality of different animated images; receive, from the user device, data indicating a selection of the animated image comprising the advertisement; and determine, based at least in part on the data indicating the selection and the data indicating the context, a position within the dynamic keyboard interface for presenting the animated image comprising the advertisement.

Abstract: Interaction between a user and a conversational digital assistant executing on a computing device is controlled. Multiple interaction pairs are stored in one or more datastores accessible by the conversational digital assistant. Each interaction pair includes an interaction query and an associated assistance operation. An interactive engagement event is detected between the user and the conversational digital assistant, responsive to the storing operation. An interaction pair is selected from the one or more datastores, responsive to the operation of detecting an interactive engagement event. The interaction query of the selected interaction pair is communicated to the user. The assistance operation associated with the communicated interaction query is executed, responsive to receipt of a response from the user to the interaction query.

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: 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: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.

Abstract: While concurrently displaying representations of a plurality of recently used applications, including a first application representation that corresponds to a first application and a second application representation that corresponds to a second application, at least a first portion of a first user input, including first movement of an input object, is detected. If the first movement of the input object includes movement in a first direction that meets first criteria, the representations of the plurality of recently used applications cease to be displayed and an application launching user interface is displayed. If the first movement of the input object includes movement in a second direction that meets second criteria, the representations of the plurality of recently used applications cease to be displayed and a first user interface of the first application is displayed in an enhanced-reachability mode and shifted in a predefined direction at least partially off of the display.