Abstract: A unified platform may comprise a combination of independent frameworks that have been integrated and configured to collaboratively operate seamlessly. In some aspects, the unified platform may comprise one or more of an authentication and authorization framework, a dynamic user interface framework, a workflow state management framework, a notification and active data loss and prevention (DLP) engine framework, and an orchestration engine framework. Each of the frameworks included in the unified platform may comprise one or more of the plurality of computing devices executing computer-readable program instructions.

Abstract: A unified platform may comprise a combination of independent frameworks that have been integrated and configured to collaboratively operate seamlessly. In some aspects, the unified platform may comprise one or more of an authentication and authorization framework, a dynamic user interface framework, a workflow state management framework, a notification and active data loss and prevention (DLP) engine framework, and an orchestration engine framework. Each of the frameworks included in the unified platform may comprise one or more of the plurality of computing devices executing computer-readable program instructions.

Abstract: A unified platform may comprise a combination of independent frameworks that have been integrated and configured to collaboratively operate seamlessly. In some aspects, the unified platform may comprise one or more of an authentication and authorization framework, a dynamic user interface framework, a workflow state management framework, a notification and active data loss and prevention (DLP) engine framework, and an orchestration engine framework. Each of the frameworks included in the unified platform may comprise one or more of the plurality of computing devices executing computer-readable program instructions.

Abstract: A unified platform may comprise a combination of independent frameworks that have been integrated and configured to collaboratively operate seamlessly. In some aspects, the unified platform may comprise one or more of an authentication and authorization framework, a dynamic user interface framework, a workflow state management framework, a notification and active data loss and prevention (DLP) engine framework, and an orchestration engine framework. Each of the frameworks included in the unified platform may comprise one or more of the plurality of computing devices executing computer-readable program instructions.

Abstract: A unified platform may comprise a combination of independent frameworks that have been integrated and configured to collaboratively operate seamlessly. In some aspects, the unified platform may comprise one or more of an authentication and authorization framework, a dynamic user interface framework, a workflow state management framework, a notification and active data loss and prevention (DLP) engine framework, and an orchestration engine framework. Each of the frameworks included in the unified platform may comprise one or more of the plurality of computing devices executing computer-readable program instructions.

Abstract: A unified platform may comprise a combination of independent frameworks that have been integrated and configured to collaboratively operate seamlessly. In some aspects, the unified platform may comprise one or more of an authentication and authorization framework, a dynamic user interface framework, a workflow state management framework, a notification and active data loss and prevention (DLP) engine framework, and an orchestration engine framework. Each of the frameworks included in the unified platform may comprise one or more of the plurality of computing devices executing computer-readable program instructions.

Abstract: Disclosed are systems and methods for managing online identity authentication risk in a nuanced identity system. For example, a method may include receiving a request by a user for a transaction on an electronic platform; determining a risk associated with the requested transaction; determining a current level of assurance associated with the user on the electronic platform; determining that the risk exceeds the current level of assurance; adjusting the current level of assurance such that the adjusted level of assurance exceeds the risk; and executing the requested transaction on the electronic platform after adjusting the current level of assurance.

Abstract: A data storage system includes an enclosure, a printed circuit board positioned in the enclosure, an integrated circuit mechanically and electrically coupled to the printed circuit board, temperature sensors configured to generate temperature signals in response to measured temperatures, an air mover coupled to the enclosure and including a motor rotatable in a clockwise direction and a counterclockwise direction, and a controller configured to cause rotation of the motor in either the clockwise direction or the counterclockwise direction depending on the temperature signals.

Abstract: A unified platform may comprise a combination of independent frameworks that have been integrated and configured to collaboratively operate seamlessly. In some aspects, the unified platform may comprise one or more of an authentication and authorization framework, a dynamic user interface framework, a workflow state management framework, a notification and active data loss and prevention (DLP) engine framework, and an orchestration engine framework. Each of the frameworks included in the unified platform may comprise one or more of the plurality of computing devices executing computer-readable program instructions.

Abstract: A method is described of selecting, by a multi-antenna base station of a wireless communications system, at least one transmission beam to transmit data to at least one terminal. The method can include determining a grid of N2 transmission beams intended to cover a portion of the space served by the base station and generated by using N1 antennas of the base station, where N1 and N2 designate integers such as N2>N1, and selecting one or more non-adjacent beam(s) of the grid to transmit data to at least one terminal during at least one given time interval.

Abstract: A system includes memory and one or more processors programmed to operate a logical layer, a media link layer, and a slot layer. The logical layer is configured to send and receive object data to a host according to an object storage protocol. The media link layer is configured to map the object data to virtual media addresses. The slot layer is configured to map the virtual media addresses to physical addresses of data storage devices.

Abstract: Systems and methods for adaptive fault prediction analysis are described. In one embodiment, the system includes one or more computing components, and one or more hardware controllers. In some embodiments, the storage system includes a storage drive. At least one of the one or more hardware controllers is configured to analyze one or more tolerance limits of a first computing component among the plurality of computing components; calculate a failure metric of the first computing component based at least in part on the analysis of the one or more tolerance limits of the first computing component; analyze sensor data from the first computing component in real time; and update the failure metric based at least in part on the analyzing of the sensor data.

Abstract: Systems, methods, apparatuses, and computer program products for determining a grid-of-beams (GoB) are provided. One method may include collecting network data for training a neural network, train the neural network, using the collected data, to learn a non-discounted cumulative reward Q that evaluates a benefit of including a given beam into a grid-of-beams (GoB), iteratively applying the trained neural network to select at least one optimal beam to include in the grid-of-beams (GoB), and selecting one or more beams from the grid-of-beams (GoB) to transmit to a user equipment or to receive transmission from the user equipment.

Abstract: A method includes receiving, by a processor, a data retrieval command from a host requesting data. In response to the data retrieval command, the method includes searching a mapping for the requested data. The mapping includes a tree structure with a series of nodes and a linked list associated with each node. The method further includes identifying portions of the linked list associated with the requested data and communicating the requested data to the host.

Abstract: A system includes memory and one or more processors programmed to operate a logical layer, a media link layer, and a slot layer. The logical layer is configured to send and receive object data to a host according to an object storage protocol. The media link layer is configured to map the object data to virtual media addresses. The slot layer is configured to map the virtual media addresses to physical addresses of data storage devices.

Abstract: Systems, methods, apparatuses, and computer program products for determining a grid-of-beams (GoB) are provided. One method may include collecting network data for training a neural network, train the neural network, using the collected data, to learn a non-discounted cumulative reward Q that evaluates a benefit of including a given beam into a grid-of-beams (GoB), iteratively applying the trained neural network to select at least one optimal beam to include in the grid-of-beams (GoB), and selecting one or more beams from the grid-of-beams (GoB) to transmit to a user equipment or to receive transmission from the user equipment.

Abstract: Systems and methods for adaptive fault prediction analysis are described. In one embodiment, the system includes one or more computing components, and one or more hardware controllers. In some embodiments, the storage system includes a storage drive. At least one of the one or more hardware controllers is configured to analyze one or more tolerance limits of a first computing component among the plurality of computing components; calculate a failure metric of the first computing component based at least in part on the analysis of the one or more tolerance limits of the first computing component; analyze sensor data from the first computing component in real time; and update the failure metric based at least in part on the analyzing of the sensor data.

Abstract: A method is described of selecting, by a multi-antenna base station of a wireless communications system, at least one transmission beam to transmit data to at least one terminal. The method can include determining a grid of N2 transmission beams intended to cover a portion of the space served by the base station and generated by using N1 antennas of the base station, where N1 and N2 designate integers such as N2>N1, and selecting one or more non-adjacent beam(s) of the grid to transmit data to at least one terminal during at least one given time interval.

Abstract: A power management circuit includes at least one energy storage device and a power controller coupled to the at least one energy storage device. The power controller is configured to enable temporary power to be provided from the at least one energy storage device to a plurality of data storage devices upon a system power loss event. The power controller is further configured to receive a power loss indication signal associated with any individual one of the plurality of data storage devices and responsively enable power loss protection for the data storage device.

Abstract: Systems and methods for adaptive fault prediction analysis are described. In one embodiment, the system includes one or more computing components, and one or more hardware controllers. In some embodiments, the storage system includes a storage drive. At least one of the one or more hardware controllers is configured to analyze one or more tolerance limits of a first computing component among the plurality of computing components; calculate a failure metric of the first computing component based at least in part on the analysis of the one or more tolerance limits of the first computing component; analyze sensor data from the first computing component in real time; and update the failure metric based at least in part on the analyzing of the sensor data.