Abstract: Aspects of the present disclosure are directed to a mini-map coordination system that can facilitate interactions between co-located and non-co-located users by providing a min-map through an artificial reality system. The mini-map can be a representation of a virtual space that corresponds to a real-world space in which some users are located and that other users join virtually. Users can join the space by entering the real-world space or by remotely logging into the virtual space. Users who have joined the virtual space can be represented in the mini-map by avatars. Users moving their avatars around the mini-map can trigger interactions, such as automatically initiating a holographic call between the users whose avatars come within a threshold distance of each other. The system can allow remote users to observe social norms such as requiring a user to “knock” before their avatar is allowed to enter a private space.

Abstract: The present disclosure generally relates to methods and user interfaces for managing visual content at a computer system. In some embodiments, methods and user interfaces for managing visual content in media are described. In some embodiments, methods and user interfaces for managing visual indicators for visual content in media are described. In some embodiments, methods and user interfaces for inserting visual content in media are described. In some embodiments, methods and user interfaces for identifying visual content in media are described. In some embodiments, methods and user interfaces for translating visual content in media are described.

Abstract: Methods and systems disclosed herein relate generally to systems and methods for using a machine-learning model to predict user-engagement levels of users in response to presentation of future interactive content. A content provider system accesses a machine-learning model, which was trained using a training dataset including previous user-device actions performed by a plurality of users in response to previous interactive content. The content provider system receives user-activity data of a particular user and applies the machine-learning model to the user-activity data, in which the user-activity data includes user-device actions performed by the particular user in response to interactive content. The machine-learning model generates an output including a categorical value that represents a predicted user-engagement level of the particular user in response to a presentation of the future interactive content.

Abstract: Systems and methods are disclosed for generating an acoustic authentication data entry interface. One method comprises generating a random sequence of characters and a visual user interface element comprising a plurality sections, each section of the visual user interface element being associated with a respective character of the generated random sequence of characters. A section of the visual user interface elements is displayed to a user. Concurrently, an audio recording of a character associated with the displayed section is played to the user. Based on determining user selection of the displayed section, the character associated with the displayed section is logged as part of an authentication data. When all of the characters constituting the authentication data are logged, an electronic transaction authorization request is sent to an acquirer processor.

Abstract: The relationship between the smell or taste of an object and the expression of the smell or taste can be grasped, and the user can grasp what smell or taste they prefer. In the single-sample display mode, a system displays a group of expressions relating to the olfactory sense stimulated by a sample, and if any expression is selected by the user, the system displays a relationship image indicating the relationship between the selected expression and other samples corresponding to the olfactory sense associated with the expression. In addition, in the multiple-sample display mode, the system displays, for each of plural samples, a group of expressions relating to the sense of smell stimulated by each sample, and displays an expression common to plural samples among the group of expressions.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: Methods and apparatus to enable a trading device to accept a user input are disclosed. An example method includes generating, via a computing device, a user interface of a trading application, wherein the user interface includes a locked portion that displays market data. The example method also includes detecting a gestural input with respect to the user interface. The example method also includes detecting a gestural event with respect to the user interface associated with the gestural input and, in response to the detected gestural event, unlocking the locked portion of the user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media relate to a method for providing video communications with dynamic virtual backgrounds within a communication platform. The system provides a user interface for the configuration of a virtual background configuration template. The user interface receives the placement of at least one virtual background boundary areas that may be associated with at least one particular virtual backgrounds to be used for video communications. The selection of the configuration template to be used and/or the specific virtual backgrounds to be used for a video meeting may be determined based on rules as applied to contextual information of a planned meeting defined in a calendaring system.

Abstract: Methods and devices for a feedback loop system, associated with delivery of content related to a software application, are disclosed. A method includes determining, for the content, a difference between a target output and a performance output. The performance output is an aggregate of respective unit outputs for unit(s) of the content. The method includes determining an input value required to re-perform at least one of the units. The re-performance can modify the difference. The input value, based on a probabilistic calculation of possible outcomes of the re-performance, is normalized based on a pre-determined baseline input value. The method includes determining, based on the normalized input value, an adjusted unit output associated with the re-performance. The method includes generating, based on the respective unit outputs and the adjusted unit output, and providing for display on a GUI, a graphical display layout comprising a visual representation of the unit(s).

Abstract: Methods, systems and computer readable media are provided for configuring machine learning systems to automatically and dynamically select a machine learning model based on statistical profiling of received data to improve machine learning applications for high variance data. Data is received from a system in operation. A profile is computed for the received data. A database comprising a plurality of stored profiles for a dataset is accessed, wherein each stored profile corresponds to a distinct pattern identified in the dataset. The computed profile is compared to each of the stored profiles to determine whether the computed profile matches one or more of the stored profiles. When one or more stored profiles match the computed profile, a matching profile is selected by the machine learning system. The received data is processed using a ML model associated with the matching profile.

Abstract: Some embodiments include an ambiguated application that can perform first functions, e.g., a communication application functions, when the ambiguated application is in a first state, and perform second functions, e.g., game functions, when the ambiguated application is in a second state. The ambiguated application in the first state and the ambiguated application in the second state share a same graphic user interface (GUI). When a functional object of the GUI is selected, the ambiguated application performs a first function if the ambiguated application is in a first state. In addition, when the same functional object of the GUI is selected, the ambiguated application performs a second function if the ambiguated application is in a second state.

Abstract: Systems and methods are described for providing instant voice communications to users of a chat platform. An example method includes: providing a chat platform for a plurality of users, the chat platform including a plurality of chatrooms; presenting, on a client device of a first user from the plurality of users, a graphical user interface corresponding to a first chatroom from the plurality of chatrooms, the graphical user interface including a selectable element for initiating an instant voice communication channel among members of the chatroom, the members including the first user and at least one other user from the plurality of users; receiving, on the client device of the first user, an indication that the user has selected the selectable element in the graphical user interface; and providing, in response to the selection, the instant voice communication channel to client devices associated with the members.

Abstract: Augmented reality is used to display graphical elements overlaid on a continually updating image of an area around an augmented reality device (e.g., a mobile device). The graphical element may contain geographical location information about a grave of an ancestor and/or biographical information about the ancestor. The continually updating image is captured by a camera of the augmented reality device and updates in response to time and motion of the augmented reality device. Based on orientation data and geographical location data collected by the augmented reality device, the graphical element is updated and displayed on the mobile device.

Abstract: Methods and apparatus to identify a type of media presented by a media player are disclosed herein. Example instructions cause one or more processors to at least determine whether a user attempted to activate a user-selectable media application control presented in a user interface while a media player application presented media; determine whether the user-selectable media application control presented in the user interface was activated; and determine at least one of the media is an advertisement or the media includes an advertisement when (a) the user attempted to activate the user-selectable media application control and (b) the user-selectable media application control presented in the user interface was not activated.

Abstract: Techniques for generating and executing an execution plan for a machine learning (ML) model using one of an edge device and a non-edge device are described. In some examples, a request for the generation of the execution plan includes at least one objective for the execution of the ML model and the execution plan is generated based at least in part on comparative execution information and network latency information.

Abstract: Systems and methods are provided for the generation of augmented reality (AR) scenery for a physical item. The AR scenery allows a customer to interact with the physical item in the real-world, while also allowing the customer to view the physical item in a virtual setting that may be tailored to the customer and/or to the physical item. According to an embodiment, an AR scene is generated for a physical item. The AR scene includes computer-generated scenery and at least a portion of an image of the physical item, where the computer-generated scenery is based on information associated with the user and/or the physical item. The AR scene is then displayed on a device.

Abstract: Embedding functionality of a communication platform into a third-party application is described. The communication platform can receive, from the third-party application, a request to connect to the communication platform, wherein the third-party application and the communication platform are associated with a user account. In response to receiving the request, causing an embedded user interface associated with the communication platform to be presented via a user interface of the third-party application. In an example, data input in the embedded user interface can be presented via a group-based communication user interface of the communication platform.

Abstract: The present invention provides a registration system (10) including a recognition unit (11) that analyzes an image obtained by a camera imaging a placing surface of a table on which a product is placed and recognizes the product in the image, a registration unit (12) that registers the recognized product as a checkout target, a first display unit (13) that displays a list of the products registered as the checkout targets on a display, a first selection unit (14) that selects one or more of the products from the list, and a second display unit (15) that displays information for determining the selected product, on the placing surface.

Abstract: A display apparatus including first and second light sources, gaze-tracking means, and processor(s) configured to: process gaze-tracking data to determine gaze direction; identify gaze region; determine first and second portions of gaze region; send, to rendering server, resolution information indicative of at least one of: gaze direction, gaze region, first and second portions of gaze region, different required resolutions of at least two input images; receive said input images comprising first input image(s) and second input image(s), from rendering server; process first input image(s) to generate first region of first output image and second region of second output image; process second input image(s) to generate remaining regions of first and second output images; and display first and second output images via first and second light sources.

Abstract: Systems and methods are described for leveraging machine learning to deliver time-sensitive media content offers to a consumer over an optimal device and channel. In an implementation, a server system transmits media content offers over an optimal device and channel to a user. The server system captures metadata of at least one of: the user's use of multiple devices, the user's media content preferences, the user's preferred transmission channels for receiving media content offers over the multiple devices, and the user's preferred times for receiving media content offers. The server system prepares a media content offer for transmission to the user. Based on the captured metadata, the server system selects a user device of the multiple user devices and a transmission channel of multiple transmission channels to transmit the media content offer; and transmits the media content offer to the selected user device over the selected transmission channel.