Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images using an intelligent user interface tool that determines the intent of a user interaction. For instance, in some embodiments, the disclosed systems receive, via a graphical user interface of a client device, a user interaction with a set of pixels within a digital image. The disclosed systems determine, based on the user interaction, a user intent for targeting one or more portions of the digital image for deletion, the one or more portions including an additional set of pixels that differs from the set of pixels.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate and implement behavioral policy graphs for digital image editing. For instance, in some embodiments, the disclosed systems generate, for a client device, a behavioral policy graph that assigns behaviors to object classes based on object relationships. The disclosed systems receive, from the client device, a digital image portraying a plurality of objects. Further, the disclosed systems determine behaviors of the plurality of objects utilizing the behavioral policy graph by determining, for each object of the plurality of objects, a behavior based on a relationship of the object with an additional object of the plurality of objects in accordance with the behavioral policy graph. The disclosed systems modify the digital image by modifying one or more objects based on the behaviors of the plurality of objects.

Abstract: Often when there is a glare on a display screen the user may be able to mitigate the glare by tilting or otherwise moving the screen or changing their viewing position. However, when driving a car there are limited options for overcoming glares on the dashboard, especially when you are driving for a long distance in the same direction. Embodiments are directed to eliminating such glare. Other embodiments are related to mixed reality (MR) and filling in occluded areas.

Abstract: A crossbow de-cocking method may include the step of providing a trigger mechanism, a trigger latch mechanism and a winch assembly. A first input to the winch assembly may move a trigger latch to disengage the trigger mechanism. A second input to the trigger latch may move a crossbow bowstring from a cocked position to an un-cocked position.

Abstract: Embodiments of the invention as described herein relate to reduced sugar dairy products, and compositions including such products, which can offer the nutritional benefits of dairy consumption without the consumption of sugar, and methods for producing the same. Some embodiments relate to reduced protein, reduced sugar dairy products or high protein, reduced sugar dairy products, either with or without one or more mineral salt to modify perceived mouthfeel. In some embodiments, the reduced sugar dairy products can include beverages, concentrates, or powders. Further embodiments relate to methods for producing reduced sugar dairy products.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images using an intelligent user interface tool that determines the intent of a user interaction. For instance, in some embodiments, the disclosed systems receive, via a graphical user interface of a client device, a user interaction with a set of pixels within a digital image. The disclosed systems determine, based on the user interaction, a user intent for targeting one or more portions of the digital image for deletion, the one or more portions including an additional set of pixels that differs from the set of pixels. Based on the user intent, the disclosed systems modify the digital image to delete the one or more portions from the digital image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implements related image search and image modification processes using various search engines and a consolidated graphical user interface. For instance, in one or more embodiments, the disclosed systems receive an input digital image and search input and further modify the input digital image using the image search results retrieved in response to the search input. In some cases, the search input includes a multi-modal search input having multiple queries (e.g., an image query and a text query), and the disclosed systems retrieve the image search results utilizing a weighted combination of the queries. In some implementations, the disclosed systems generate an input embedding for the search input (e.g., the multi-modal search input) and retrieve the image search results using the input embedding.

Abstract: In some embodiments, a contact stream is generated or modified based on configuration data received from a machine-learning model. Multiple contact items are selected for a contact stream, to be delivered to a user device via electronic communication channels. In addition, a success metric is identified indicating an engagement with the contact stream or an action performed following the engagement. A machine-learning model is applied to the contact items, where the machine-learning model is trained to identify relationships among actions in an online environment and configuration parameters that control delivery of contact streams. The machine-learning model provides an output indicating configuration data or a success probability for the contact stream. The configuration data includes configuration parameter values computed by the machine-learning model for achieving the identified success metric.

Abstract: Often when there is a glare on a display screen the user may be able to mitigate the glare by tilting or otherwise moving the screen or changing their viewing position. However, when driving a car there are limited options for overcoming glares on the dashboard, especially when you are driving for a long distance in the same direction. Embodiments are directed to eliminating such glare. Other embodiments are related to mixed reality (MR) and filling in occluded areas.

Abstract: Techniques are provided for optimizing workload performance by automatically discovering and implementing performance optimizations for in-memory units (IMUs). A system maintains a set of IMUs for processing database operations in a database. The system obtains a database workload information for the database system and filters the database workload information to identify database operations in the database workload information that may benefit from performance optimizations. The system analyzes the database operations to identify a set of performance optimizations and ranks the performance optimizations based on their potential benefit. The system selects a subset of the performance optimizations, based on their ranking, and generates new versions of IMUs that reflect the performance optimizations. The system performs verification tests on the new versions of IMUs and analyzes the tests to determine whether the new versions of IMUs yield expected performance benefits.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that edit digital images using combinations of speech input and gesture interactions. For instance, in some embodiments, the disclosed systems receive speech input from a client device displaying a digital image within a graphical user interface, the digital image portraying an object. Additionally, the disclosed systems detect, via the graphical user interface, one or more gesture interactions with respect to the object of the digital image. Based on the speech input, the disclosed systems determine an edit for the object of the digital image indicated by the one or more gesture interactions. Further, the disclosed systems modify the object within the digital image using the edit indicated by the one or more gesture interactions.

Abstract: An external rearview device for a vehicle includes a rearview element comprising at least one of a reflective element, a camera, or a display element; a housing configured to be attached to the vehicle and configured to be moveable relative to the vehicle; and a bezel affixed to an opening defined by the housing and surrounding the rearview element. The bezel is coated and a coating of the bezel is at least one of a decorative coating, an advanced surface technology, or a spectrally controlling system, and the rearview element is coupled to at least one of the bezel or the housing.

Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.

Abstract: An internal multi-function rearview device for use with a vehicle includes a rearview element comprising at least one of a reflective element, a camera, or a display element; a housing configured to be attached to the vehicle and configured to be moveable relative to the vehicle; a bezel configured to be affixed to an opening defined by the housing and configured to surround the rearview element; and a foot configured to be fixed to the vehicle and relative to which the housing and bezel is moveable. The bezel is coated and a coating of the bezel is at least one of a decorative coating, an advanced surface technology, or a spectrally controlling system, and the rearview element is coupled to at least one of the bezel or the housing.

Abstract: A multi-media video conferencing platform and method which includes a user database configured to store usernames and details; a processor configured route multiple media streams to a user location; and a compiler configured to present a multimedia template at a client workstation, the template having a plurality of tiles, where each tile corresponds to a different media type, and the compiler is configured to identify a media type of an incoming media stream or media presentation. The processor routes the incoming media to a tile having a matching media type so that the media stream or presentation displays in the tile corresponding to its media type. The template presented by the compiler has tiles corresponding to at least incoming streaming video, incoming still media, and two-way interactive video.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate and implement semantic scene graph for digital image editing. For instance, in some embodiments, the disclosed systems receive a digital image from a client device. The disclosed systems determine, utilizing one or more neural networks, characteristics of the digital image by determining a plurality of objects portrayed in the digital image and a plurality of relationships associated with the plurality of objects. Further, the disclosed systems generate a semantic scene graph for the digital image based on its characteristics. For example, in some cases, the disclosed systems generate a structure of nodes and edges representing the characteristics of the digital image utilizing an image analysis graph and assign behaviors to the plurality of objects based on the plurality of relationships using a behavioral policy graph. The disclosed systems modify the digital image using the semantic scene graph.

Abstract: Methods, systems and apparatuses may provide for technology that determines measured timing data in response to a presentation request from an application, wherein the measured timing data is associated with one or more previous frames and the presentation request is associated with one or more subsequent frames. The technology may also determine scheduling times for the subsequent frame(s) based on the measured timing data, wherein the scheduling times include a simulation time, a rendering time, a driver submission time, a hardware submission time, and a display time. In one example, the technology controls a pacing of the subsequent frame(s) on a display in accordance with the scheduling times.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate and implement behavioral policy graphs for digital image editing. For instance, in some embodiments, the disclosed systems generate, for a client device, a behavioral policy graph that assigns behaviors to object classes based on object relationships. The disclosed systems receive, from the client device, a digital image portraying a plurality of objects. Further, the disclosed systems determine behaviors of the plurality of objects utilizing the behavioral policy graph by determining, for each object of the plurality of objects, a behavior based on a relationship of the object with an additional object of the plurality of objects in accordance with the behavioral policy graph. The disclosed systems modify the digital image by modifying one or more objects based on the behaviors of the plurality of objects.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that edit digital images using combinations of speech input and gesture interactions. For instance, in some embodiments, the disclosed systems receive speech input from a client device displaying a digital image within a graphical user interface, the digital image portraying an object. Additionally, the disclosed systems detect, via the graphical user interface, one or more gesture interactions with respect to the object of the digital image. Based on the speech input, the disclosed systems determine an edit for the object of the digital image indicated by the one or more gesture interactions. Further, the disclosed systems modify the object within the digital image using the edit indicated by the one or more gesture interactions.

Abstract: Methods, systems and apparatuses may provide for technology to receive a first video data stream from a first graphics display engine via a first video data channel, receive a second video data stream from a second graphics display engine via a second video data channel, and switch a video output from the first video data stream to the second video data stream based on a switch command to accompany the second video data stream.