Abstract: A method, an electronic device, and a computer program product for storage management are provided. The method includes: acquiring a lock attribute record in a lock attribute record chain from a data protection network for backing up data, data protection servers of the data protection network reaching a consensus on the lock attribute record chain, the lock attribute record including a first attribute value of an attribute of a lock operation, the lock operation being used for preventing a backup of the data stored in a storage server from being tampered with; acquiring, based on the lock attribute record, a second attribute value of the attribute of the lock operation from the storage server; and generating, based on determining that the first attribute value does not match the second attribute value, an alarm indicating that the backup is tampered with. This solution can better prevent data from being tampered with.

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with sparse vector representations associated with features of the plurality of sets of information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. A plurality of positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon one or more sparse vector representations, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the plurality of positive signal probabilities.

Abstract: Reducing power consumption in an electronic device can include analyzing device usage data associated with the device to predict an extended period of user inactivity, the usage data including at least one of historical usage data and present usage signals and entering an enhanced reduced power state by implementing one or more power saving optimizations for at least a portion the extended period of extended user inactivity, the one or more power saving optimizations slowing, delaying, or interrupting one or more normal activities normally performed by the device. The method can further include exiting the enhanced reduced power state by suspending the one or more power saving optimizations. Exiting the enhanced reduced power state can be performed in response to at least one of: user activity; a specified user routine; or a time predicted by the analyzing device usage data.

Abstract: Instruction generation for a data processing array and microcontroller includes generating a tensor-level intermediate representation from a machine learning model using kernel expressions. Statements of the tensor-level intermediate representation are partitioned into a first set of statements and a second set of statements. From the first set of statements, kernel instructions are generated based on a reconfigurable neural engine model. The kernel instructions are executable by a compute tile of a data processing array to implement compute functions of the machine learning model. From the set of second statements, microcontroller instructions are generated based on a super-graph model. The microcontroller instructions are executable by a microcontroller of the data processing array to move data into and out from the data processing array.

Abstract: A system architecture and method for enabling hierarchical intelligent control with appropriate-speed communication and coordination of control using intelligent distributed impedance/voltage injection modules, local intelligence centers, other actuator devices and miscellaneous FACTS coupled actuator devices is disclosed. Information transfer to a supervisory utility control is enabled for responding to integral power system disturbances, system modelling and optimization. By extending the control and communication capability to the edge of the HV power grid, control of the distribution network through FACTS based Demand response units is also enabled.

Abstract: A hierarchical power flow control system includes power flow control devices, a communication coordinator and a gateway. The gateway provides diagnostics, prognostics, and health monitoring, and communicates with an external energy management system (EMS). Operation and actions are based on self-health monitoring, self-prognostics, and analysis and prediction processing in the gateway, in communication with the external energy management system.

Abstract: A system architecture and method for enabling hierarchical intelligent control with appropriate-speed communication and coordination of control using intelligent distributed impedance/voltage injection modules, local intelligence centers, other actuator devices and miscellaneous FACTS coupled actuator devices is disclosed. Information transfer to a supervisory utility control is enabled for responding to integral power system disturbances, system modelling and optimization. By extending the control and communication capability to the edge of the HV power grid, control of the distribution network through FACTS based Demand response units is also enabled.