Abstract: Systems and methods described herein may provide a system that enables determining, for each respective content component of a streaming session, a host device for displaying the respective content component. The system may utilize user, content, and device context to orchestrate content components across all connected displays to maximize the collective user experience across all users in an environment. Inputs may be provided to a machine learning model that considers every possible layout combination of content components on a one or more host devices and outputs potential layouts for the one or more host devices. The potential layouts may be sorted by confidence and one layout selected for each of the one or more host devices.

Abstract: An apparatus includes a memory and one or more processors coupled to the memory. The one or more processors are configured to determine a first setting of a first parameter associated with a first device. The first device is associated with a first device type. The one or more processors are further configured to detect an event. The event is associated with one of the first parameter or a second device that is associated with a second parameter, and the second device is associated with a second device type. The one or more processors are further configured to determine, based on detecting the event, a second setting of the second parameter for the second device based on a calibration relationship between the first parameter and the second parameter.

Abstract: This disclosure provides systems, methods, and apparatuses for a user interaction recognition. In an aspect, a method includes receiving, at a server, first telemetry information from a first device, the first telemetry information associated with a first user session of a first application, the first user session associated with a first user. The method further includes receiving second telemetry information from a second device, the second telemetry information associated with a second user session of a second application, the second user session associated with a second user. The method also includes generating an interaction candidate based on a comparison of the first telemetry information and the second telemetry information, and transmitting the interaction candidate to the first device.

Abstract: Systems and methods described herein may provide a system that enables game play or other application sessions from a set of candidate game hosts and environments to consumption devices of a user's choice while the user moves about their home between the different environments. The system may employ methods to determine where a user is located within the home, availability and selection of candidate game hosting and target environments, homing and direction of related I/O and audio-visual (AV) content for consumption. The solution accommodates multiple users simultaneously within the home, whether in single player, multiplayer using the same screen, or multiplayer using separate screen games. The solution may configure AV and input/output (I/O) such that multiple users can consume one or multiple games in the home simultaneously, whether in separate locations or when seated together in front of the same consumption device.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may determine first multiple subsegments of an image segment of first image segments associated with image coordinates; determine first multiple average color values respectively associated with the first multiple subsegments; receive user input from an information handling system (IHS) of the multiple information handling systems (IHSs); receive a second image frame of the game based at least on the user input; determine second multiple subsegments of an image segment of second image segments of the second image frame associated with the image coordinates; determine second multiple average color values respectively associated with the second multiple subsegments; determine that a comparison of the first multiple average color values with second multiple average color values meets or exceeds a threshold; and associate the image coordinates with the IHS of the multiple IHSs.

Abstract: Embodiments of systems and methods for orchestrating the execution of Machine Learning (ML) workloads are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive an indication of an ML workload to be executed by the IHS; and orchestrate execution of the ML workload with respect to a plurality of ML resources coupled to the IHS.

Abstract: Managing input sensitivity of an information handling system, including performing a calibration and configuration of an input sensitivity management model, including: identifying contextual data associated with the information handling system, the contextual data including i) system characteristics of the information handling system and ii) o user characteristics of a user of the information handling system; identifying historic states of the information handling system, the historic states including for each state in time of the information handling system, inputs to the information handling system and outputs of the information handling system based on the inputs to the information handling system; training, based on the contextual data and the historic states, the input sensitivity management model for determining an input sensitivity of the inputs to the information handling system; performing, after performing the calibration and configuration of the input sensitivity management model, a steady-state mo

Abstract: Displaying multi-source content based on interaction data, including: identifying user interaction data associated with computer-implemented applications, the user interaction data including interaction data of a particular user; identifying social interaction data associated with the computer-implemented applications, the social interaction data including interaction data of one or more social contacts of the particular user; identifying regional interaction data associated with the computer-implemented applications, the regional interaction data including interaction data of users of a particular region; aggregating content associated with the computer-implemented applications based on the user interaction data, the filtered social interaction data, and the filtered regional interaction data; scoring the aggregated content based on weight components; applying, based on the content scores, interface adjustments to interface elements of a graphical timeline, the graphical timeline depicting the interface elem

Abstract: Intelligent selection of optimization methods in heterogeneous environments is described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: identify a context; rank a plurality of optimization methods based upon the context; and execute at least a subset of the ranked optimization methods.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may receive, from a user, first user input that indicates a selection of a game; may determine one or more numerical values respectively associated with one or more attributes associated with the game; may determine multiple numerical experience scores associated with multiple information handling systems operable for the user to play the game; may rank the multiple information handling systems by respective numerical experience scores; and may recommend at least one of the multiple information handling systems to the user based at least on ranking the multiple information handling systems by respective numerical experience scores and based at least on the one or more numerical values respectively associated with the one or more attributes associated with the game.

Abstract: Displaying multi-source content based on interaction data, including: identifying user interaction data associated with computer-implemented applications, the user interaction data including interaction data of a particular user; identifying social interaction data associated with the computer-implemented applications, the social interaction data including interaction data of one or more social contacts of the particular user; identifying regional interaction data associated with the computer-implemented applications, the regional interaction data including interaction data of users of a particular region; aggregating content associated with the computer-implemented applications based on the user interaction data, the filtered social interaction data, and the filtered regional interaction data; scoring the aggregated content based on weight components; applying, based on the content scores, interface adjustments to interface elements of a graphical timeline, the graphical timeline depicting the interface elem

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may determine first multiple subsegments of an image segment of first image segments associated with image coordinates; determine first multiple average color values respectively associated with the first multiple subsegments; receive user input from an information handling system (IHS) of the multiple information handling systems (IHSs); receive a second image frame of the game based at least on the user input; determine second multiple subsegments of an image segment of second image segments of the second image frame associated with the image coordinates; determine second multiple average color values respectively associated with the second multiple subsegments; determine that a comparison of the first multiple average color values with second multiple average color values meets or exceeds a threshold; and associate the image coordinates with the IHS of the multiple IHSs.

Abstract: Managing input sensitivity of an information handling system, including performing a calibration and configuration of an input sensitivity management model, including: identifying contextual data associated with the information handling system, the contextual data including i) system characteristics of the information handling system and ii) o user characteristics of a user of the information handling system; identifying historic states of the information handling system, the historic states including for each state in time of the information handling system, inputs to the information handling system and outputs of the information handling system based on the inputs to the information handling system; training, based on the contextual data and the historic states, the input sensitivity management model for determining an input sensitivity of the inputs to the information handling system; performing, after performing the calibration and configuration of the input sensitivity management model, a steady-state mo

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may receive, from a user, first user input that indicates a selection of a game; may determine one or more numerical values respectively associated with one or more attributes associated with the game; may determine multiple numerical experience scores associated with multiple information handling systems operable for the user to play the game; may rank the multiple information handling systems by respective numerical experience scores; and may recommend at least one of the multiple information handling systems to the user based at least on ranking the multiple information handling systems by respective numerical experience scores and based at least on the one or more numerical values respectively associated with the one or more attributes associated with the game.

Abstract: Information handling systems, methods, and computer-readable media enable gameplay event detection and gameplay enhancement operations. One or more in-game events may be detected by monitoring audio content, by monitoring video content, by monitoring user input, by monitoring other information, or a combination thereof. The one or more in-game events (and information related to the one or more in-game events) may be stored at a database. Information of the database may be accessed to trigger one or more gameplay enhancement operations. The one or more gameplay enhancement operations may include an automatic highlight capture operation, a dynamic screen aggregation operation, a dynamic position switch operation, a dynamic player switch operation, a gameplay enhancement operation using one or more peripheral devices (e.g., a lighting effect or a haptic feedback event), one or more other gameplay enhancement operations, or a combination thereof.

Abstract: Systems and methods for scalable gesture and eye-gaze tracking in virtual, augmented, and mixed reality (xR) applications are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: monitor utilization of an IHS resource; capture an image of a gesture performed by a user wearing a Head-Mounted Device (HMD) during an xR application; and generate a feature vector usable to identify the gesture based upon the image, wherein the feature vector has a maximum number of features selected based upon the IHS resource utilization.

Abstract: Managing content of a user interface, including identifying an UI application that provides for display a UI on a display device, the UI application providing a primary content item for inclusion by the UI; identifying a request for a secondary content item to be included within the UI, and in response, identifying one or more secondary content items; performing content feature extraction of the primary content item to identify primary content features; performing content feature extraction of the secondary content items to identify secondary content features; comparing the primary content features and the secondary content features to identify similarities therebetween; sorting the secondary content features based on the similarity between the secondary content features and the primary content features; identifying a particular secondary content item of the one or more secondary content items; updating the UI to include the particular secondary content item within the UI.

Abstract: Information handling systems, methods, and computer-readable media enable gameplay event detection and gameplay enhancement operations. One or more in-game events may be detected by monitoring audio content, by monitoring video content, by monitoring user input, by monitoring other information, or a combination thereof. The one or more in-game events (and information related to the one or more in-game events) may be stored at a database. Information of the database may be accessed to trigger one or more gameplay enhancement operations. The one or more gameplay enhancement operations may include an automatic highlight capture operation, a dynamic screen aggregation operation, a dynamic position switch operation, a dynamic player switch operation, a gameplay enhancement operation using one or more peripheral devices (e.g., a lighting effect or a haptic feedback event), one or more other gameplay enhancement operations, or a combination thereof.

Abstract: Embodiments of systems and methods for Simultaneous Localization and Mapping (SLAM) compensation for gesture recognition in virtual, augmented, and mixed reality (xR) applications are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: receive a first set of images from a SLAM camera, wherein the first set of images captures movement of a Head-Mounted Device (HMD); calculate a transformation matrix based upon the first set of images; receive a second set of images from a gesture camera, wherein the second set of images captures a gesture; and apply the transformation matrix to the second set of images prior to recognizing the gesture.

Abstract: Embodiments of systems and methods for providing controller gestures in virtual, augmented, or mixed reality (xR) applications are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive one or more first Simultaneous Localization and Mapping (SLAM) landmarks corresponding to a first controller; receive one or more second SLAM landmarks corresponding to a second controller; determine, using the first and second SLAM landmarks, that the first controller is within a threshold distance of the second controller; in response to the determination, receive first Inertial Measurement Unit (IMU) data from the first controller and second IMU data from the second controller; identify, using the first and second IMU data, a gesture performed with the first and second controllers; and execute a command associated with the gesture.