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: 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: 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: 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: Systems and methods described herein may provide a system that utilizes a machine learning algorithm to determine a color palette based on user context and assigning colors of the color palette to connected systems or peripherals to apply lighting effects. A method may include retrieving, by an information handling system, user context; analyzing, by the information handling system, user context to determine a plurality of colors associated with the user context; generating, by the information handling system, a set of color palettes based, at least in part, on the user context; and generating, by the information handling system, an aggregate color palette based, at least in part, on the set of color palettes. Other aspects are also disclosed.

Abstract: Systems and methods described herein may provide a system that enables improved input classification and processing for I/O devices. In one aspect, a computing device may receive interaction data from an I/O device. The interaction data may be associated with a first user interaction. The computing device may classify, with a first model and based on the interaction data, the first user interaction as an invalid input and may reject the first user interaction. In certain aspects, the computing device is the I/O device.

Abstract: Systems and methods described herein may detect user interface (UI) elements of a gaming application UI and rearrange and/or modify the UI elements in response to a change in aspect ratio of the gaming application. An anchor may be determined for each UI element as the aspect ratio of the gaming application changes such that the gaming application's aspect ratio may be changed without eliminating important UI elements. In cases where a UI element is modified, the UI element may be made collapsible, may be split into sub-elements, or may be separated from the rest of the UI elements and displayed on a separate device.

Abstract: Systems and methods described herein may provide a system that adjusts a user interface (UI) of a game in a non-obtrusive way to a user. The system may determine the least obtrusive area(s) on the screen for a UI element game overlay to be presented, at least in part by determining an importance level for area on the screen containing a UI element. The importance level for an area on the screen may be determined using a generated heat map that indicates the importance values of various areas of the screen. The heat map may be generated with inputs including one or more of user interactions with UI elements, game context, UI element rate of change, user matching, and user preferences. The system may temporarily hide UI elements from display that are determined to be below a threshold importance level.

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: 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: 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: 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: 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: 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