A digital rights management system is provided that includes a receiving device for receiving an encryption key request from a client device, a first database for storing a set of supported security capabilities corresponding to client device, a second database for storing a set of required security capabilities corresponding to at least one of the encryption key and content associated with the encryption key, a content management system for establishing rules to determine the set of required security capabilities corresponding to content, and a processing device. The processing device may be configured to identify the set of supported security capabilities corresponding to the client device and identify the set of required security capabilities corresponding to the content associated with the encryption key. The content management system may be configured to configure the set of supported security capabilities and configure the set of required security capabilities.

Technologies for dynamic accelerator selection include a compute sled. The compute sled includes a network interface controller to communicate with a remote accelerator of an accelerator sled over a network, where the network interface controller includes a local accelerator and a compute engine. The compute engine is to obtain network telemetry data indicative of a level of bandwidth saturation of the network. The compute engine is also to determine whether to accelerate a function managed by the compute sled. The compute engine is further to determine, in response to a determination to accelerate the function, whether to offload the function to the remote accelerator of the accelerator sled based on the telemetry data. Also the compute engine is to assign, in response a determination not to offload the function to the remote accelerator, the function to the local accelerator of the network interface controller.

A method and data processing system are provided for determining if a machine learning model has been copied. The machine learning model has a plurality of nodes, the plurality of nodes is organized as a plurality of interconnected layers, and the plurality of interconnected layers includes an input layer and an output layer. The output layer has a predetermined number of output nodes for classifying input samples into a predetermined number of categories, where each output node corresponds to a category. An additional watermarking node is added to the output layer. The model is trained to classify the input data into the predetermined number of categories and into an additional category for the additional node. The additional node may be added to another model to determine if the another model is a copy or clone of the ML model.

Systems and methods relating to a platform for creating, monitoring, updating, and executing legal agreements for data files such as a collaborate digital media file using associated metadata. The platform enables music publishing agreements to be generated automatically by taking metadata from a DAW (digital audio workstation) that reflects the activity and contributions of each author associated with a file. Authorship metadata can be recorded on a ledger or blockchain by the platform. The platform enables calculation and disbursement of royalties to be automated by algorithmic determination of terms of an authenticated smart contract using authorship metadata for an associated media file generating the royalty. Authors may concurrently contribute from across a variety of different DAWs, local and remote, and computing resources may be distributed by the platform.

System and methods for evaluating license information in a computer cluster are described. An example method may include retrieving a cluster-license-info from a peer-node selected from a plurality of cluster nodes in the computer cluster, wherein the cluster-license-info contains a plurality of peer-license-info collected from the plurality of cluster nodes, receiving a revised cluster-license-info generated by detecting license violations in the cluster-license-info, and transmitting the revised cluster-license-info to the peer-node.

The disclosure relates to a distributed voting system, method, apparatus, a computer device and a readable storage medium. The distributed voting system includes: a first node configured to broadcast voting invitation information; a second node configured to generate and broadcast voting commitment information according to the voting invitation information wherein the voting commitment information includes first signature information generated by the second node according to its own secret key for the voting commitment information; and a third node configured to determine that the voting commitment information is valid according to pre-acquired public key information of the second node and the first signature information, wherein the secret key of the second node uniquely corresponds to a public key of the second node, and a voting record is generated according to the voting commitment information and the voting record is stored in a first data block of the system.

A system and method include association of a first plurality of software licenses of a first type with a first subscription associated with a first plurality of cloud-based resources, determination of a first number of the first plurality of software licenses to activate based on the types of the first plurality of resources, activation of the first number of the first plurality of software licenses, monitoring of usage of the first plurality of resources, determination, based on the monitored usage, of a second one or more resources to associate with the first subscription, determination, in response to determining the second resources, of a second number of the first plurality of software licenses to activate based on the types of the second one or more resources, activation of the second number of the first plurality of software licenses, and association of the second resources with the first subscription.

At least one machine readable medium comprising a plurality of instructions that in response to being executed by a system cause the system to send a unique identifier to a license server, establish a secure channel based on the unique identifier, request a license for activating an appliance from a license server over the secure channel, receive license data from the license server over the secure channel; determine whether the license is valid, and activate the appliance in response to a determination that the license data is valid.

Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement and manage software defined silicon products are disclosed. Example semiconductor devices disclosed herein include circuitry configurable to provide one or more features. Disclosed example semiconductor devices also include a license processor to activate or deactivate at least one of the one or more features based on a license received via a network from a first remote enterprise system. Disclosed example semiconductor devices further include an analytics engine to report telemetry data associated with operation of the semiconductor device to at least one of the first remote enterprise system or a second remote enterprise system, the analytics engine to report the telemetry data in response to activation or deactivation of the at least one of the one or more features based on the license.

Novel tools and techniques for an IoT shell are provided. A system includes an internet of things (IoT) device, a database, and a license manager. The database may include one or more sets of authorized licenses, each set of authorized licenses associated with a respective vendor software. The license manager may be in communication with the IoT device and the database, and further include a processor and a non-transitory computer readable medium comprising instructions executable by the processor. The license manager may be configured to receive a request to reserve a license for a first vendor software, determine an availability of the license associated with the first vendor software, register a unique identifier of the IoT device in association with the license, and grant the license to the IoT device.