Abstract: A system is described for automatically calibrating a display device based at least on information relating to a user of the display device. The system obtains visual acuity information or pupillary information of the user. The system then determines a value of a display parameter of the display device based at least on the visual acuity information or the pupillary information of the user. The determined value is then provided for application to the display device. Other information may also be used in determining the value of the display parameter, such as user input, demographic information of the user, display device specific information, user environment information, displayed content information, or application context information. An algorithm may be used that determines the display parameter based on such information. The algorithm may comprise a model obtained through machine learning.

Abstract: A distributed ledger system includes a device registry and a software registry. The device registry includes a plurality of device identifiers. Each device identifier uniquely identifies a device that has been registered with the distributed ledger system. The software registry includes a plurality of software license identifiers. Each software license identifier uniquely identifies a software license that has been registered with the distributed ledger system. The distributed ledger system also includes transaction management components that are configured to record device transaction information associated with the plurality of devices and software transaction information associated with the plurality of software licenses. The distributed ledger system also includes access control components that are configured to enforce access control policies related to the plurality of devices and the plurality of software licenses.

Abstract: A system is described for automatically calibrating a display device based at least on information relating to a user of the display device. The system obtains visual acuity information or pupillary information of the user. The system then determines a value of a display parameter of the display device based at least on the visual acuity information or the pupillary information of the user. The determined value is then provided for application to the display device. Other information may also be used in determining the value of the display parameter, such as user input, demographic information of the user, display device specific information, user environment information, displayed content information, or application context information. An algorithm may be used that determines the display parameter based on such information. The algorithm may comprise a model obtained through machine learning.

Abstract: A distributed ledger system includes a device registry and a software registry. The device registry includes a plurality of device identifiers. Each device identifier uniquely identifies a device that has been registered with the distributed ledger system. The software registry includes a plurality of software license identifiers. Each software license identifier uniquely identifies a software license that has been registered with the distributed ledger system. The distributed ledger system also includes transaction management components that are configured to record device transaction information associated with the plurality of devices and software transaction information associated with the plurality of software licenses. The distributed ledger system also includes access control components that are configured to enforce access control policies related to the plurality of devices and the plurality of software licenses.