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.

Abstract: Method(s) and apparatus are provided for interfacing with a nervous system of a subject.

Abstract: A power grid monitoring system for determining a cause of a lateral trouble ticket. The power grid monitoring system can determine a cause of a lateral trouble ticket in response to receiving the lateral trouble ticket. The power grid monitoring system associates a set of smart meters with a first, penultimate and last transformer downstream from a given lateral. The power grid monitoring system pings each smart meter in the set of smart meters to indicate a state of the first, penultimate and last transformers of the given lateral. Accordingly, the power monitoring system determines a cause of a lateral trouble ticket associated with the given lateral based on results of the pings to the set of smart meters associated with the first, last and penultimate transformers. The power grid monitoring system can further augment the lateral trouble ticket with information characterizing the cause of the lateral trouble ticket.

Abstract: Methods and systems for managing power for a Power over Ethernet (PoE) device are disclosed herein. The method may include obtaining, by a supervisor, power information from a plurality of power supply units (PSUs) to obtain total consumed power; obtaining, by the supervisor, a total system power capacity value associated with the plurality of PSUs; and calculating, by the supervisor, a total available PoE power value using the total consumed power and the total system power capacity value; and making a first determination, by the supervisor, using the total available PoE power value and a PoE power table, whether a powered device should stop receiving power.

Abstract: Universal switch modules, universal switches, and methods of using the same are disclosed, including methods of preparing an individual to interface with an electronic device or software. For example, a method is disclosed that can include measuring brain-related signals of the individual to obtain a first sensed brain-related signal when the individual generates a task-irrelevant thought. The method can include transmitting the first sensed brain-related signal to a processing unit. The method can include associating the task-irrelevant thought and the first sensed brain-related signal with N input commands. The method can include compiling the task-irrelevant thought, the first sensed brain-related signal, and the N input commands to an electronic database.

Abstract: A method of controlling energy supply in an energy distribution network is disclosed. The energy distribution network comprises an energy generation facility adapted to supply energy to the energy distribution network and an energy consumer adapted to consume energy from the energy distribution network. The method comprises, at the energy generation facility: detecting a curtailment condition, the curtailment condition indicating that the energy generation facility should curtail its supply of energy to the energy distribution network; in response to the curtailment condition, transmitting, via a communications link, a request to increase energy consumption to the energy consumer; receiving a reply message from the energy consumer via the communications link; and controlling energy output from the generation facility in dependence on the reply message.

Abstract: An illustrative embodiment disclosed herein is a circuit for sensing heating, ventilation, air conditioning, and refrigeration (HVACR) equipment. The circuit includes an input port that has an input voltage signal. The circuit includes an analog-to-digital converter (ADC) generating a first digital signal based on receiving a representation of a supply voltage, generating a second digital signal based on receiving the divided input voltage signal, and outputting the first digital signal, the second digital signal, and an output voltage reference. The circuit includes an amplifier coupled to the ADC and amplifying the output voltage reference to generate a supply voltage. The circuit includes a microprocessor coupled to the ADC and configured to calculate a first ratio of the first digital signal and the supply voltage. The microprocessor is configured to determine the input voltage signal by calculating a second ratio of the second digital signal and the first ratio.

Abstract: An agricultural spraying machine which is supported on the ground and is movable in a forward direction over a field, the agricultural spraying machine comprising: a chassis; a sprayer linkage, the sprayer linkage configured with a middle segment movably supported on the chassis; a pair of booms arranged on respectively one side of the middle segment and which are pivotable by respectively at least one actuator in relation to the middle segment about an axis extending in the forward direction; a control device configured to receive a signal from at least one sensor associated with the pair of booms and generate a control signal, the control device receiving the signal from the at least one sensor as an input variable and wherein the control device receives the signals provided by the at least one sensor in respect of the relative position of the pair of booms in relation to a field contour; and wherein an adjustment of the at least one actuator occurs using control signals from the control device, the control

Abstract: A computer implemented method for controlling the environmental conditions of a building in accordance with feedback from the occupants of the building is provided. The method includes detecting, by one or more processors, an occupant within a building space, and transmitting, by the one or more processors, a notification message to an occupant device associated with the occupant. The notification message includes a request to provide occupant feedback. The method includes receiving, by the one or more processors, an occupant feedback message from the occupant device. The occupant feedback message includes one or more quality ratings associated with one or more building conditions. The method includes assigning, by the one or more processors, a weighting factor to the occupant feedback message and performing an action to modify at least one of the building conditions responsive to the weighted occupant feedback message.

Abstract: Core utilization optimization by dividing computational blocks across neurosynaptic cores is provided. In some embodiments, a neural network description describing a neural network is read. The neural network comprises a plurality of functional units on a plurality of cores. A functional unit is selected from the plurality of functional units. The functional unit is divided into a plurality of subunits. The plurality of subunits are connected to the neural network in place of the functional unit. The plurality of functional units and the plurality of subunits are reallocated between the plurality of cores. One or more unused cores are removed from the plurality of cores. An optimized neural network description is written based on the reallocation.

Abstract: The present invention relates to a control system for a movement reconstruction and/or restoration system for a patient, comprising a movement model generation module to generate movement model data information, an analysis module receiving and processing data provided at least by the movement model generation module, wherein the control system is configured and arranged to prepare and provide on the basis of data received by the movement model generation module and the analysis module a movement model describing the movement of a patient and providing, on the basis of the movement model, stimulation data for movement reconstruction and/or restoration.

Abstract: An electronic device includes a backup power supply unit, a first power management unit, a switch, a voltage detection unit, a processor and an electronic module. The first power management unit is coupled to the backup power supply unit and an external power supply unit. The switch is coupled to the first power management unit. The voltage detection unit is coupled to the external power supply unit and the switch. The processor is coupled to the voltage detection unit. The electronic module is coupled to the switch and the processor. When a voltage level of the external power supply unit is lower than a first predetermined level, the voltage detection unit outputs a detection signal. The switch is controlled by the detection signal to open to stop supplying power to the electronic module. The processor is controlled by the detection signal to execute a shutdown process.

Abstract: Embodiments relate to a system comprising a device for temperature recording; an integrated communication module; a memory; a processor coupled with the memory. The processor is configured to: receive data from the device, analyze the data through an analytics module; predict an anomaly in the data through the analytics module; generate an alert for ensuring quality of food and safety of the food; and predict a failure in the device.

Abstract: In one disclosed embodiment, a processor includes a first execution unit and a second execution unit, a register file, and a data path including a plurality of lanes. The data path and the register file are arranged so that writing to the register file by the first execution unit and by the second execution unit is allowed over the data path, reading from the register file by the first execution unit is allowed over the data path, and reading from the register file by the second execution unit is not allowed over the data path. The processor also includes a power control circuit configured to, when a transfer of data between the register file and either of the first and second execution units uses less than all of the lanes, power down the lanes of the data path not used for the transfer of the data.

Abstract: A method and a device for configuring a hardware component, in particular of a configurable safe input/output module, includes using a configuration program that is designed to display a graphical user interface on a display apparatus that is connected to a data processing system, which user interface provides function blocks having inputs and outputs. By way of the method and the device, two function blocks can be interconnected so as to form a combined function block having at least one input and one output, at least one of the inputs or outputs of the first function block and at least one of the inputs or outputs of the second function block forming at least two of the inputs/outputs of the combined function block.

Abstract: A learning device includes a plurality of individual learners. Each of the individual learners includes a planner configured to generate information for defining an operation of the operation subject corresponding to itself, and a reward deriver configured to derive a reward obtained by evaluating information to be evaluated including feedback information obtained from a simulator by inputting information based on the information for defining the operation of the operation subject to the simulator. The planner performs reinforcement learning based on the reward derived by the reward deriver, and at least two of the plurality of individual learners are different in the operations of the operation subject in which the reward derived by the reward deriver is maximized.

Abstract: A storage device includes a solid state drive (SSD), a field programmable gate array (FPGA), a power sensor and a global controller. The SSD stores data and receives power through a power rail connected to a host device. The FPGA processes data read from the SSD or data to be stored in the SSD and receives power through the power rail. The power sensor is connected to the power rail and generates a measured power value corresponding to a total power consumed by the SSD and the FPGA by measuring the total power. The global controller determines one of the SSD and the FPGA as a priority component operating with a fixed performance and determines the other of the SSD and the FPGA as a non-priority component operating with a variable performance in a priority mode based on power control information provided from the host device.