Abstract: Game spaces are configured for best computer functioning. A game space is defined by hardware, software, and network(s). Each game space in a home or business is characterized for gaming performance capabilities. Individual devices, peripherals (such wireless gaming controllers, steering wheels, and joysticks), and even networks are also characterized for gaming performance capabilities. Cloud-based services then determine hardware, software, and network configurations that, when combined as a best game space, yield the best computer functioning for computer gaming. The cloud-based services may even auto-install or auto-execute the configurations that yield the best computer functioning for computer gaming. Once the game spaces are characterized and configured, gaming content may be recommended that exploits the best computer functioning.

Abstract: Game spaces are configured for best computer functioning. A game space is defined by hardware, software, and network(s). Each game space in a home or business is characterized for gaming performance capabilities. Individual devices, peripherals (such wireless gaming controllers, steering wheels, and joysticks), and even networks are also characterized for gaming performance capabilities. Cloud-based services then determine hardware, software, and network configurations that, when combined as a best game space, yield the best computer functioning for computer gaming. The cloud-based services may even auto-install or auto-execute the configurations that yield the best computer functioning for computer gaming.

Abstract: A system, method, and computer-readable medium are disclosed for configuring and offering upgrade capability to information handling systems. A deep learning or machine learning model (DL/ML) model is trained to optimize a particular configuration and use cases for an information handling system and provides various levels of upgrades for the use cases. Levels are identified as base or upgrade and mapped to a licensing layer that enables or disables use of performance levels based on weights that enable base output level classes and disable upgrade output level classes. An offer to upgrade is made as to upgrade levels upon a determination of probabilities of performance output level classes.

Abstract: A system, method, and computer-readable medium are disclosed for configuring and offering upgrade capability to information handling systems. A deep learning or machine learning model (DL/ML) model is trained to optimize a particular configuration and use cases for an information handling system and provides various levels of upgrades for the use cases. Levels are identified as base or upgrade and mapped to a licensing layer that enables or disables use of performance levels based on weights that enable base output level classes and disable upgrade output level classes. An offer to upgrade is made as to upgrade levels upon a determination of probabilities of performance output level classes.

Abstract: A method of identifying an unknown device via interrogation may comprise determining a communication address of an unknown device in communication with an information handling system, capturing a digital image of the unknown device, determining the unknown device belongs to a known class of devices via an object recognition algorithm to analyze the digital image, accessing a device class registry listing a plurality of candidate object identifications associated with the known class of devices, identifying a stimulus action or actuation associated with a first of the plurality of candidate device identifications. The method may also comprise performing the stimulus action, receiving an indication via the communication address indicating the unknown device detected the stimulus action, and associating the communication address of the unknown device with the first of the plurality of candidate device identifications.

Abstract: A method of identifying an unknown device via interrogation may comprise determining a communication address of an unknown device in communication with an information handling system, capturing a digital image of the unknown device, determining the unknown device belongs to a known class of devices via an object recognition algorithm to analyze the digital image, accessing a device class registry listing a plurality of candidate object identifications associated with the known class of devices, identifying a stimulus action or actuation associated with a first of the plurality of candidate device identifications. The method may also comprise performing the stimulus action, receiving an indication via the communication address indicating the unknown device detected the stimulus action, and associating the communication address of the unknown device with the first of the plurality of candidate device identifications.