Abstract: An information handling system may include a plurality of information handling resources comprising firmware elements; at least one processor; and a computer-readable medium having instructions thereon that are executable by the at least one processor for: storing metadata associated with data that is stored in the plurality of firmware elements of the information handling system; and implementing a single filesystem configured to allow unified access to the data via the metadata.

Abstract: An optical power supply system includes power sourcing equipments, powered devices, a detector and a power supply controller. The power sourcing equipments each output feed light. The powered devices are provided so as to correspond to the power sourcing equipments, and each convert the feed light output from their corresponding power sourcing equipments into electric power. The detector detects an electric power amount required by a power supply target of the powered devices. The power supply controller controls, based on the required electric power amount detected by the detector, output of the feed light from each of the power sourcing equipments.

Abstract: Methods and devices for manipulating the temperature of a surface are generally provided. The present disclosure relates to a device including one or more heating and/or cooling elements, or other suitable thermal adjustment apparatus(es), placed near a surface, such as the skin of a user. The device may be configured to generate one or more (optionally alternating) thermal profiles at the surface, which may include a series of thermal pulses and/or essentially continuous or semi-continuous thermal input, which may vary over time. Such thermal profiles, when suitably applied, may provide enhanced thermal sensations for a user which, in some cases, may provide the user with a more pleasurable thermal experience than would otherwise be the case without the generation of the thermal profiles. In some embodiments, an alternating thermal profile may include an average frequency, an oscillation window, and/or an average temperature, each of which may be adjustable.

Abstract: A method and apparatus for managing processor functionality includes receiving, by the processor, data relating to one or more environmental conditions. The processor compares the data to pre-existing parameters to determine whether or not the environmental conditions are within the pre-existing parameters for normal operation. If the data are within the pre-existing parameters for normal operation, the processor is operated in a normal operation mode. If the data are outside the pre-existing parameters for normal operation, the processor operates in a second operation mode which is dynamically determined and calibrated during power-on, boot and operation.

Abstract: Integrated energy storage system including a thermal energy storage coupled with a liquid metal battery storage and a cryogenic energy storage and related methods are described. An example integrated energy storage system includes a liquid metal battery storage, a cryogenic energy storage configured to store energy using a liquefied cryogen, a thermal energy storage, and a control system. The control system is configured to cause selective transfer of heat from the thermal energy storage to at least one battery unit associated with the liquid metal battery storage. The control system is configured to during a first mode associated with the cryogenic energy storage, cause selective transfer of heat from the cryogenic energy storage to the thermal energy storage. The control system is configured to during a second mode associated with the cryogenic energy storage, cause selective transfer of heat from the thermal energy storage to the cryogenic energy storage.

Abstract: A method and a device are for power supply switchover in a power system, including two power supplies, each being connected to a bus through an incoming line. The power supply currently in operation is used as the main power supply and the other power supply is used as a backup power supply. Both the incoming line and the bus have three phases, and the lines are connected by their phases. In an embodiment, the method includes: determining whether there is at least one sound phase among the three phases after identifying a fault in the power system; and if there is, obtaining a power data on the sound phase before the main power supply is disconnected. The power data is usable to determine whether the backup power supply meets the condition for connecting in the quick mode after the main power supply is disconnected.

Abstract: A load control system for controlling an electrical load in a space of a building occupied by an occupant may include a controller configured to determine the location of the occupant, and a load control device configured to automatically control the electrical load in response to the location of the occupant. The load control system may include a mobile device adapted to be located on or immediately adjacent the occupant and configured to transmit and receive wireless signals. The load control device may be configured to automatically control the electrical load when the mobile device is located in the space. The load control system may further comprise an occupancy sensor and the load control device may automatically control the electrical load when the occupancy sensor indicates that the space is occupied and the mobile device is located in the space.

Abstract: Systems and methods are described herein for real-time data processing and for emergency planning. Scenario test data may be collected in real-time based on monitoring local or regional data to ascertain any anomaly phenomenon that may indicate an imminent danger or of concern. A computer-implemented method may include filtering a plurality of different test scenarios to identify a sub-set of test scenarios from the plurality of different test scenarios that may have similar behavior characteristics. A sub-set of test scenarios is provided to a trained neural network to identify one or more sub-set of test scenarios. The one or more identified sub-set of test scenarios may correspond to one or more anomaly test scenarios from the sub-set of test scenarios that is most likely to lead to an undesirable outcome. The neural network may be one of: a conventional neural network and a modular neural network.

Abstract: An electronic device includes an accelerated processing unit (APU) and multiple elements. The APU performs operations for a platform boost and throttle (PBT) controller. For the operations, the APU receives a platform electrical power limit, the platform electrical power limit being a limit on a total electrical power allowed to be consumed by a group of the elements at a given time. The APU then determines a present platform electrical power consumption. The APU next adjusts one or more operating parameters for specified elements from among the group of elements to control electrical power consumption by the specified elements based on a relationship between the present platform electrical power consumption and the platform electrical power limit.

Abstract: Aspects of the disclosed technology encompass the use of a deep-learning controller for monitoring and improving a manufacturing process. In some aspects, a method of the disclosed technology includes steps for: receiving control values associated with a process station in a manufacturing process, predicting an expected value for an article of manufacture output from the process station, and determining if the deep-learning controller can control the manufacturing process based on the expected value. Systems and computer-readable media are also provided.

Abstract: One embodiment is a device comprising a controller for verifying a digital signature of a process, a memory for storing an indication from the controller that the digital signature was verified the indication including at least one symmetric key, and a bootloader for receiving the indication from the memory and performing at least one security check using the at least one symmetric key, wherein the bootloader executes a function of the external process, only when it passes the security check.

Abstract: One embodiment provides a method, including: detecting, based on at least one metric, that an information handling device is experiencing a restricted airflow condition; decreasing, responsive to the detecting, a system power setting of the information handling device during a duration of the restricted airflow condition; and restoring, subsequent to detecting that the information handling device is no longer experiencing the restricted airflow condition; the system power setting. Other aspects are described and claimed.

Abstract: A building system including one or more memory devices configured to store instructions that, when executed by one or more processors, cause the one or more processors to receive training data including acronym strings and tag strings, train a sequence to sequence neural network based on the training data, receive an acronym string for labeling, the acronym string comprising a particular plurality of acronyms, and generate a tag string for the acronym string with the sequence to sequence neural network, wherein the sequence to sequence neural network outputs a tag of the tag string for one acronym of the particular plurality of acronyms based on the one acronym and contextual information of the acronym string, wherein the contextual information includes other acronyms of the particular plurality of acronyms.

Abstract: During normal operation of a processor, voltage droop is likely to occur and there is, therefore, a need for techniques for rapidly and accurately detecting this droop so as to reduce the probability of circuit timing failures. The droop detector described herein uses a tap sampled delay line in which a clock signal is split along two separate paths. Each of the taps in the paths are separated by two inverter delays such that the set of samples produced represent sample values of the clock signal that are each separated by a single inverter delay without inversion of the first clock signal between the samples.

Abstract: Implementations are directed to remote data aggregation, data management, and data visualization of field data from remote field site locations. Actions can include generating, by one or more sensors, the field data, each sensor of the one or more sensors being responsive to field site activity, transmitting, through a regional network, the field data to a back-end system, processing, by the back-end system, the field data to provide visualization data, transmitting the visualization data to one or more mobile computing devices, and providing a computer-executable application for execution on a mobile computing device, the computer-executable application processing the visualization data to provide data visualizations.

Abstract: A method can include receiving sensor data from a system; encoding the sensor data to a latent space representation via a trained encoder; generating a control action using the latent space representation; and issuing an instruction that corresponds to the control action for control of the system.

Abstract: Aspects of the disclosed technology encompass the use of a deep learning controller for monitoring and improving a manufacturing process. In some aspects, a method of the disclosed technology includes steps for: receiving a plurality of control values from two or more stations, at a deep learning controller, wherein the control values are generated at the two or more stations deployed in a manufacturing process, predicting an expected value for an intermediate or final output of an article of manufacture, based on the control values, and determining if the predicted expected value for the article of manufacture is in-specification. In some aspects, the process can further include steps for generating control inputs if the predicted expected value for the article of manufacture is not in-specification. Systems and computer-readable media are also provided.

Abstract: A maintenance system is disclosed for assisting in maintaining an automated carrier system for moving objects to be processed. The maintenance system includes a plurality of automated carriers that are adapted to move on an array of discontinuous standard track sections, each said automated carrier including a carrier body that is no larger in either a length or width direction that a standard track section, and an automated maintenance carrier that is adapted to move on the array of discontinuous track sections, said automated maintenance system including a maintenance body that is larger in at least one of a length or width direction than the standard track section.

Abstract: One embodiment provides a system and method for predicting network power usage associated with workloads. During operation, the system configures a simulator to simulate operations of a plurality of network components, which comprises embedding one or more event counters in each simulated network component. A respective event counter is configured to count a number of network-power-related events. The system collects, based on values of the event counters, network-power-related performance data associated with one or more sample workloads applied to the simulator; and trains a machine-learning model with the collected network-power-related performance data and characteristics of the sample workloads as training data 1, thereby facilitating prediction of network-power-related performance associated with a to-be-evaluated workload.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shaping compute load using virtual capacity. In one aspect, a method includes obtaining a load forecast that indicates forecasted future compute load for a cell, obtaining a power model that models a relationship between power usage and computational usage for the cell, obtaining a carbon intensity forecast that indicates a forecast of carbon intensity for a geographic area where the cell is located, determining a virtual capacity for the cell based on the load forecast, the power model, and the carbon intensity forecast, and providing the virtual capacity for the cell to the cell.