Abstract: Systems and methods described herein may provide a system that enables the dynamic assignment of network resources between multiple workloads executing on a network. A computing device may receive workload information relating to a plurality of workloads executing within a network. The computing device may use the workload information to determine engagement and dependency predictions for the plurality of workloads and resource predictions for the plurality of workloads. Based on the workload information and the engagement and dependency predictions, the computing device may determine workload priority predictions for the plurality of workloads. The computing device may assign, based on the resource predictions and workload priority predictions, network resources of the network to the plurality of workloads.

Abstract: An information handling system may receive a request from a user for expert assistance associated with a gaming application. The information handling system may determine a recommendation of one or more experts from a plurality of available experts based, at least in part, on the gaming application and one or more gaming characteristics of each of the plurality of available experts. The information handling system may initiate a gaming assistance session between the user and at least one of the determined experts.

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: A data-driven, intelligent ergonomic behavioral aid based on uniquely captured telemetry and user behavior data is provided. The aggregation of the telemetry data and user presence events over time can provide sufficient context to understand user patterns and behavior as well as the user's environment. The provided system may learn from this data and recommend to the user best practices and actions to take to minimize the health risk specific to their behavior with respect to the computing ecosystem. In some instances, the provided system may initiate one or more actions, rather than a recommendation, that force the user to change their behavior if the user desires to continue interacting with the computing ecosystem.

Abstract: Embodiments of a new and innovative method for processing input touch data for a curved touch sensitive surface by converting input touch vectors to position states is disclosed. The method includes receiving an input touch vector based on one or more signals from a plurality of touch sensors; selecting a largest continuous segment of values in the input touch vector that are indicative of a touch sensor being active; and assigning the input touch vector to a position state of a plurality of position states based on one or more index values corresponding to the selected largest continuous segment of values. If there is more than one equally largest continuous segment of values, then the equally largest continuous segment of values is selected that corresponds to one or more sensors furthest from a second end of the curved touch sensitive surface.

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: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may determine a historical discharge rate (dh) from multiple discharge rates a battery of an information handling system (IHS) while the IHS operates on electrical power provided by the battery; receive a current discharge rate (dc) of the battery; determine a full charge capacity correction factor value (Cfcc) associated with the battery; determine a weighting factor (?); determine a difference between a full charge capacity value (FCC) and Cfcc; determine ?·dh; determine (1??)·dc; determine a sum of dh·? and dc·?; determine a quotient value of FCC?Cfcc and ?·dh+(1??)·dc; scale the quotient value based at least on a relative state of charge of the battery to determine an estimated time remaining for the IHS to operate on the electrical power provided by the battery; and display the estimated time remaining.

Abstract: A method for adjusting input resistance includes determining, by an information handling system, one or more gaming context characteristics of a gaming application executed by the information handling system. The information handling system determines one or more adjustments to a resistance of a two-axis input device based, at least in part, on the one or more gaming context characteristics. The information handling system applies the one or more adjustments to the resistance of the two-axis input device.

Abstract: An information handling system includes a memory and a processor coupled to the memory. The processor is configured to detect, during execution of a video game application, a gameplay event associated with the video game application. The processor is further configured to determine a mechanical resistance setting associated with an input device of a game controller and to determine one or more positions of the input device at which the mechanical resistance setting is to be applied. The mechanical resistance setting is associated with the gameplay event. The processor is further configured to send, to the game controller, a control signal indicating a configuration of the input device. The configuration is associated with the mechanical resistance setting and the one or more positions.

Abstract: An information handling system may receive a request from a user for expert assistance associated with a gaming application. The information handling system may determine a recommendation of one or more experts from a plurality of available experts based, at least in part, on the gaming application and one or more gaming characteristics of each of the plurality of available experts. The information handling system may initiate a gaming assistance session between the user and at least one of the determined experts.

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: Managing virtual break sessions, including: identifying user preferences associated with virtual break sessions; generating a weight for the user preferences; generating, based on the weights for the user preferences, a score for each virtual break session of potential virtual break sessions; comparing the score of each virtual break session of the potential virtual break sessions to a threshold score; determining, based on the comparing, that the score for a particular virtual break session of the potential virtual break sessions is greater than the threshold score, and in response, providing a notification to a display device indicating the particular virtual break session proximate to a time associated with the particular virtual break session; obtaining, during the particular virtual break session, user engagement signals associated with the particular virtual break session; and updating, based on the user engagement signals, the weight for each of the user preferences.

Abstract: System and method for battery runtime forecasting, including identifying a power usage of a IHS; identifying a charge profile of a battery of the IHS, the charge profile including charging levels each associated with a respective time period; determining a state of charge of the battery based on a current time; identifying power delivery capabilities of a power source providing power to the battery; generating a predicted relative state of charge (RSOC) profile of the battery based on i) the power usage of the IHS, ii) an entirety of the charge profile of the battery, iii) the state of charge of the battery, and iv) power delivery capabilities of the power source; and identifying a runtime estimate of the battery.

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: Settings on an information handling system may be adjusted to set priority levels for processes executing on the information handling system in view of desired operational characteristics of the information handling system for a user persona and in view of expected future events for the information handling system. A score may be generated based on a user persona (e.g., whether a user is a light gamer, heavy gamer, corridor warrior, or desk worker) and expected future computer contexts (e.g., an expectation that a user will play a game in one hour). That score may be used to determine policies (e.g., high performance, balanced, or battery saver) to implement through settings on the computer system. Consideration of user persona classifications, associated group behaviors, and dynamic system contexts (including resource extremas, location, temporal context, and predicted future events) improve use of system resources through prioritization and governing of diverse optimization methods.

Abstract: As part of virtual meetings, information that has been visually presented to the participants may be distributed to all or some of the participants. Embodiments provide capabilities for identifying such shared information to be distributed to virtual meeting participants based on the context in which the information was shared. A user joining a collaborative session via a first IHS (Information Handling System) is detected and affiliations of the user are determined. The display of information to the user via a collaboration tool is detected. Activity by the user is monitored while the shared information is displayed to the user via the collaboration tool. An event is detected that triggers distribution of the displayed information. Whether to distribute the displayed information to the user's IHS is determined based on the user's affiliations, attributes of the information and the monitored activity of the user during the display of the information.

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.