Abstract: The present disclosure provides a computer-implemented method for determining an optimized list of sets of hyperparameter values for application to an additional machine learning task. The method includes obtaining data describing a plurality of different machine learning tasks. The method includes obtaining a plurality of candidate sets of hyperparameter values. The method includes determining an ordered list of sets of hyperparameters selected from the plurality of candidate sets of hyperparameter values, wherein the ordered list of sets of hyperparameters minimizes an aggregate loss over the plurality of different machine learning tasks. The method includes storing the ordered list of sets of hyperparameters for use in training an additional machine learning model to perform an additional machine learning task.

Abstract: The invention relates to a method for connecting a first component, in particular a lancing means, to a second component, in particular a syringe body, in order to produce a product for medical or cosmetic purposes, by means of adhesion, having the following steps: (a) providing the first and the second component; (b) tempering at least one first contact surface of the first component and/or at least one second contact surface of the second component to a temperature T1; and (c) applying an adhesive to at least one portion of the first contact surface and/or to at least one portion of the second contact surface, wherein the adhesive is at a temperature T2, wherein temperatures T1 and T2 differ only by a tolerance deviation, wherein the tolerance deviation is at most 10° C.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training neural networks using learned optimizers. One of method is for training a neural network layer comprising a plurality of network parameters having a plurality of dimensions each having a plurality of indices, the method comprising: maintaining a set of values corresponding to respective sets of indices of each dimension, each value representing a measure of central tendency of past gradients of the network parameters having an index in the dimension that is in the set of indices; performing a training step to obtain a new gradient for each network parameter; updating each set of values using the new gradients; and for each network parameter: generating an input from the updated sets of values; processing the input using an optimizer neural network to generate an output defining an update for the network parameter; and applying the update.

Abstract: A detector (110, 1110, 2110) for determining a position of at least one object (112) is proposed. The detector (110, 1110, 2110) comprises: at least one transfer device (128, 1128), wherein the transfer device (128, 1128) has at least one focal length in response to at least one incident light beam (116, 1116) propagating from the object (112, 1112) to the detector (110, 1110, 2110); at least two optical sensors (113, 1118, 1120), wherein each optical sensor (113, 1118, 1120) has at least one light sensitive area (121, 1122, 1124), wherein each optical sensor (113, 1118, 1120) is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by the light beam (116, 1116), at least one evaluation device (132, 1132) being configured for determining at least one longitudinal coordinate z of the object (112, 1112) by evaluating a quotient signal Q from the sensor signals.

Abstract: Method for coating a glass syringe body for a hypodermic pre-filled glass syringe, wherein at least one emulsion and/or one solution containing at least one layer-forming substance is applied to at least one inner surface of the hypodermic pre-filled glass syringe, which defines an axial direction, wherein at least a partial surface of the inner surface in a syringe cone of the pre-filled glass syringe is subsequently exposed to a plasma, wherein a negative pressure source is arranged in relation to the syringe cone in the axial direction opposite the atmospheric-pressure plasma source, wherein a negative pressure of less than atmospheric pressure is provided by means of the negative pressure source.

Abstract: According to examples, a system for enabling user authentication may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to receive user login credentials and initiate a user authentication process by receiving a challenge configured using an attribute of a system including the processor. The processor executes further instructions to determine the attribute value and to derive a zero-knowledge proof in response to the challenge. The zero-knowledge proof is provided to the challenge issuer to access services of one or more applications.

Abstract: Provided herein is a curable fluoroelastomer composition including at least one fluoroelastomer comprising copolymerized units of a nitrile group-containing cure site monomer; a cure system comprising at least two different dihydrazides; and optionally at least one additive. Further provided are pre-forms comprising the curable composition, methods of curing the fluoroelastomer composition, compositions that are the product of curing the curable fluoroelastomer composition, and articles comprising the cured fluoroelastomer composition.

Abstract: A detector (110, 1110, 2110) for determining a position of at least one object (112) is proposed. The detector (110, 1110, 2110) comprises: at least one transfer device (128, 1128), wherein the transfer device (128, 1128) has at least one focal length in response to at least one incident light beam (116, 1116) propagating from the object (112, 1112) to the detector (110, 1110, 2110); at least two optical sensors (113, 1118, 1120), wherein each optical sensor (113, 1118, 1120) has at least one light sensitive area (121, 1122, 1124), wherein each optical sensor (113, 1118, 1120) is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by the light beam (116, 1116), at least one evaluation device (132, 1132) being configured for determining at least one longitudinal coordinate z of the object (112, 1112) by evaluating a quotient signal Q from the sensor signals.

Abstract: A system is described for configuring another system, e.g., a robotics system. The other system interacts with an environment according to a deterministic policy by repeatedly obtaining, from a sensor, sensor data indicative of a state of the environment, determining a current action, and providing, to an actuator, actuator data causing the actuator to effect the current action in the environment. To configure the other system, the system optimizes a loss function based on an accumulated reward distribution with respect to a set of parameters of the policy. The accumulated reward distribution includes an action probability of an action of a previous interaction log being performed according to the current set of parameters. The action probability is approximated using a probability distribution defined by an action selected by the deterministic policy according to the current set of parameters.

Abstract: Methods for ascertaining a control strategy for a technical system using a Bayesian optimization method. The control strategy is created based on model parameters of a control model and is executable. The method includes providing a quality function whose shape corresponds to a regression function and that evaluates a quality of a controlling of the technical system based on model parameters; carrying out a Bayesian optimization method based on the quality function in order to iteratively ascertain a model parameter set having model parameters within a model parameter domain that indicates the permissible value ranges for the model parameters; and determining the model parameter domain for at least one of the model parameters as a function of an associated maximum a posteriori estimated value of the quality function.

Abstract: A method for operating a humidifier coupled to a gas flow generator. The humidifier has a pump providing a supply of water to a heater plate. The method includes: providing power to the gas flow generator; raising the temperature of the heater plate from an ambient temperature to about a first predetermined temperature; powering the pump at about a predetermined first duty cycle; monitoring the temperature of the heater plate until one of: a drop in temperature is detected, or a predetermined period of time has elapsed; and one of: increasing the duty cycle of the pump if the drop in temperature is detected, or turning off the pump if the predetermined period of time has elapsed.

Abstract: A humidifier for an airway pressure support system is implemented for delivering a humidified flow of breathing gas to a patient. The humidifier includes a water chamber, a conduit, a nozzle, a heater plate, and a separator feature. The conduit includes first and second ends, and a wall portion defining an interior pathway between the first and second ends and structured to convey the flow of breathing gas between the first and second ends. The nozzle is fluidly connected to the water chamber and configured to produce a water droplet from water received from the water chamber. The heater plate is coupled to the wall portion, exposed to the interior pathway, and positioned to receive the water droplet from the nozzle. The separator feature is coupled to the wall portion and configured to shield the water droplet from the flow of breathing gas.

Abstract: An interactive design tool may be configured for real-time architectural adaptation. This may include a user device including a hardware processor, physical memory and a user interface. The user device may provide operations to generate a virtual reality (VR) architectural session including a toolbelt with a virtual selection tool for adaptation of at least one of an environment, an object and an avatar. The operations may further include to receive or select a selection spot on the object by a projection between the virtual selection tool and the object, receive or select an adaptation relative to at least one of the object, the environment and the avatar; and display the adaptation to the at least one of the object, the environment and the avatar in real-time during the VR architectural session.

Abstract: A pricing engine may be provided for automatically setting pricing or repricing of goods simultaneously according to a set of rules and objectives. The pricing engine may utilize a database of internal data and external data. The pricing engine may use the data to segment the goods. The engine may further apply pricing rules to the segmented goods, reconcile any deviations using a control framework, and provide a comprehensive output.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. One of the methods includes performing, using a plurality of training examples, a training step to obtain respective gradients of a loss function with respect to each of the parameters in the parameter tensors; obtaining a validation loss for a plurality of validation examples that are different from the plurality of training examples generating an optimizer input from at least the respective gradients and the validation loss; processing the optimizer input using an optimizer neural network to generate an output defining a respective update for each of the parameters in the parameter tensors of the neural network; and for each of the parameters in the parameter tensors, applying the respective update to a current value of the parameter to generate an updated value for the parameter.

Abstract: The lift truck automatic guided vehicle (AGV) generally comprises a chassis, a compartment for the attachment of a tower, a counterweight in the rear part, a battery box and power and control boards on opposite sides of the base chassis, a casing and a front lifting system constituted by a support mast, a lifting carriage, a lifting cylinder, a raising carriage, a fork hanger and two front forks. The chassis is supported by two sets of double front wheels, two free wheels in the rear part and a central driving and steered wheel coupled to an electric motor.

Abstract: A method is provided for ascertaining a NOx concentration and an NH3 slip downstream from an SCR catalytic converter of an internal combustion engine of a vehicle. State variables of an internal combustion engine as first input variables and an updated NH3 fill level of the SCR catalytic converter as a second input variable cooperate with at least one machine learning algorithm or at least one stochastic model. The at least one machine learning algorithm or at least one stochastic model calculates the NOx concentration and the NH3 slip downstream from the SCR catalytic converter as a function of the first input variables and the second input variables and output the same as output variables.

Abstract: A computational method for training a meta-learned, evolution strategy black box optimization classifier. The method includes receiving one or more training functions and one or more initial meta-learning parameters of the meta-learned, evolution strategy black box optimization classifier. The method further includes sampling a sampled objective function from the one or more training functions and an initial mean of the sampled function. The method also includes computing a set of T number of means by running the meta-learned, evolution strategy black box optimization classifier on the sampled objective function using the initial mean for T number of steps in t=1, . . . ,T. The method also includes computing a loss function from the set of T number of means. The method further includes updating the one or more initial meta-learning parameters of the meta-learned, evolution strategy black box optimization classifier in response to a characteristic of the loss function.

Abstract: Support device (1) for supporting at least one body part of a user at least in portions, optionally completely, comprising a support body (2), which comprises at least one support region (3) for supporting at least one body part of a user at least in portions, optionally completely, wherein at least the support region (3) has, at least in portions, optionally completely, a geometric-structural design that is individually configured on the basis of the data describing at least one body part of a user that is to be supported on the support region (3) at least in portions, optionally completely.

Abstract: A method for scheduling a set of jobs for a plurality of machines. Each job is defined by at least one feature which characterizes a processing time of the job. If any of the machines is free, a job from of the set of jobs is selected to be carrying out by said machine and scheduled for said machine. The job is selected as follows: a Graph Neural Network receives as input the set of jobs and a current state of at least the machine which is free, the Graph Neural Network outputs a reward for the set of jobs if launched on the machines, which states are inputted into the Graph Neuronal Network, and the job for the free machine is selected depending on the Graph Neural Network output.