Abstract: Aspects of the disclosure relate to determining whether a vehicle should continue through an intersection. For example, the one or more of the vehicle's computers may identify a time when the traffic signal light will turn from yellow to red. The one or more computers may also estimate a location of a vehicle at the time when the traffic signal light will turn from yellow to red. A starting point of the intersection may be identified. Based on whether the estimated location of the vehicle is at least a threshold distance past the starting point at the time when the traffic signal light will turn from yellow to red, the computers can determine whether the vehicle should continue through the intersection.

Abstract: An automated transaction machine (“ATM”) can include a note input/output port, an escrow unit, and an upper transport. The escrow unit can receive and hold currency notes. The upper transport can transport currency notes among the note input/output port and the escrow unit. The escrow unit can include a drum and first and second web-supply spool assemblies. The drum collects and releases currency notes relative to the upper transport, is rotatable about a first axis, and has a variable radius including minimum and maximum radii. Each web-supply spool assembly includes a spool and a web and can rotate about respective second and third axis parallel to and spaced from the first axis. A fourth axis can extend normal to and intersect both of the second and third axis and can be closer to the first axis than the maximum radius of the drum.

Abstract: The invention relates to a method for measuring the concentration of a gas component in an atmosphere of a packaging which is made from a plastic film and which comprises a gas concentration indicator substance on the side of the plastic film facing the atmosphere.

Abstract: Disk brake including a brake caliper and an application device arranged therein for applying force to the brake pads of the disk brake, wherein a component of the application device is a brake lever which can be actuated by a force element and preferably by a pressure cylinder and is composed of a lever arm against which the force element is supported and an application shaft. The application shaft is supported, on one side, against a pressure piece operating in the direction of the brake pads and, on the other side, with the interposition of a shell, against a channel arranged on the inside of the brake caliper, wherein the curvature of the shell is complementary to the curvature of the channel. In order to develop the disk brake and the shell assembly by constructive measures so as to prevent the shell assembly from moving out of the original position even in the case of long-term use and under frequent load caused by braking, an opening of a bore is located in the channel.

Abstract: A computer-implemented system and method for estimating a Cumulative Distribution Function (CDF) are provided. The method includes: receive input data representing a volume V of a target space indicating a future target event; compute, using the trained neural network, an estimation of a first flux through a boundary of the volume V; compute, using the trained neural network, an estimation of a second flux through a boundary of a volume W of a base space based on the estimation of the first flux through the boundary of the volume V; generate, using the trained neural network, an estimation of a CDF for the volume V based on the second flux through the boundary of the volume W; compute a probability for the future target event based on the estimated CDF for the volume V; and generate a control command based on the probability for the future target event.

Abstract: The methods and systems are directed to computational approaches for training and using machine learning algorithms to predict the conditional marginal distributions of the position of agents at flexible evaluation horizons and can enables more efficient path planning. These methods model agent movement by training a deep neural network to predict the position of an agent through time. A neural ordinary differential equation (neural ODE) that represents this neural network can be used to determine the log-likelihood of the agent's position as it moves in time.

Abstract: A system for machine learning architecture for time series data prediction. The system may be configured to: maintain a data set representing a neural network having a plurality of weights; obtain time series data associated with a data query; generate, using the neural network and based on the time series data, a predicted value based on a sampled realization of the time series data and a normalizing flow model, the normalizing flow model based on a latent continuous-time stochastic process having a stationary marginal distribution and bounded variance; and generate a signal providing an indication of the predicted value associated with the data query.

Abstract: A computer system and method for predicting an output for an input are provided. The system comprises at least one processor and a memory storing instructions which when executed by the processor configure the processor to perform the method. The method comprises at least one of estimating a posterior for a plurality of inputs and associated outputs, or providing a point estimate without sampling. The method also comprises predicting the output for a new observation input.

Abstract: One aspect relates to a method for producing a substrate adapter for the connecting to an electronic component, including arranging at least one contacting material layer between at least one side of a carrier and a surface of a substrate such that the contacting material layer has at least one predetermined breaking point, and joining the carrier and the substrate to the contacting material layer. One aspect also relates to a substrate adapter for connecting to an electronic component.

Abstract: A method and apparatus that schedules and manages a background task for device is described. In an exemplary embodiment, the device registers the background task, where the registering includes storing execution criteria for the background task. The execution criteria indicates a criterion for launching the background task and the execution criteria based on a component status of the device. The device further monitors the running state of the device for an occurrence of the execution criteria. If the execution criteria occurs, the device determines an available headroom with the device in order to perform the background task and launches the background task if the background task importance is greater than the available device headroom, where the background task importance is a measure of how important it is for the device to run the background task.

Abstract: A computer implemented system for generating one or more data structures is described, the one or more data structures representing an unseen composition based on a first category and a second category observed individually in a training data set. During training of a generator, a proposed framework utilizes at least one of the following discriminators—three pixel-centric discriminators, namely, frame discriminator, gradient discriminator, video discriminator; and one object-centric relational discriminator. The three pixel-centric discriminators ensure spatial and temporal consistency across the frames, and the relational discriminator leverages spatio-temporal scene graphs to reason over the object layouts in videos ensuring the right interactions among objects.

Abstract: Systems and methods for unsupervised multi-object scene decomposition that involve a spatio-temporal amortized inference model for multi-object video decomposition. Systems and methods involve a new spatio-temporal iterative inference framework to jointly model complex multi-object representations and the explicit temporal dependencies between the frames. Those dependencies improve overall quality of decomposition, encode information about object dynamics and can be used to predict future trajectories of each object separately. Additionally, the model can generate precise estimations and output data even without color information. The model has scene decomposition, segmentation and future prediction capabilities. The processor can use the model to simulate future frames of the scene data.

Abstract: Systems and methods for machine learning architecture for time series data prediction. The system may include a processor and a memory storing processor-executable instructions. The processor-executable instructions, when executed, may configure the processor to: obtain time series data associated with a data query; generate a predicted value based on a sampled realization of the time series data and a continuous time generative model, the continuous time generative model trained to define an invertible mapping to maximize a log-likelihood of a set of predicted values for a time range associated with the time series data; and generate a signal providing an indication of the predicted value associated with the data query.

Abstract: The invention relates to a method for measuring the concentration of a gas component in an atmosphere of a packaging which is made from a plastic film and which comprises a gas concentration indicator substance on the side of the plastic film facing the atmosphere.

Abstract: The present invention relates to a flow wrapper which comprises a form and/or film tube, which forms the planar film into a film tube and/or fills the film tube with a packaging item and which comprises means to provide a longitudinal- and/or cross-seal to the film tube.

Abstract: A computer implemented system for generating one or more data structures is described, the one or more data structures representing an unseen composition based on a first category and a second category observed individually in a training data set. During training of a generator, a proposed framework utilizes at least one of the following discriminators—three pixel-centric discriminators, namely, frame discriminator, gradient discriminator, video discriminator; and one object-centric relational discriminator. The three pixel-centric discriminators ensure spatial and temporal consistency across the frames, and the relational discriminator leverages spatio-temporal scene graphs to reason over the object layouts in videos ensuring the right interactions among objects.

Abstract: An installation for hot dip coating a metal strip is provided. The installation includes a device for moving the metal strip along a path, a pot for containing a melt bath and a wiping system including at least two nozzles placed on either side of the path downstream the pot. The wiping system has a box with a lower confinement part confining an atmosphere around the metal strip upstream of said nozzles and an upper confinement part confining the atmosphere around the metal strip downstream of the nozzles, first moving means for vertically moving the lower confinement part with respect to the pot and second moving means for vertically moving the upper confinement part with respect to both the pot and the lower confinement part. The nozzles are vertically movable relative to the pot.

Abstract: One aspect relates to a method for producing a substrate adapter for the connecting to an electronic component, including arranging at least one contacting material layer between at least one side of a carrier and a surface of a substrate such that the contacting material layer has at least one predetermined breaking point, and joining the carrier and the substrate to the contacting material layer. One aspect also relates to a substrate adapter for connecting to an electronic component.

Abstract: A method and an apparatus to dynamically distribute privileges among a plurality of processes are described. Each process may have attributes including a privilege to control access to processing resources. A first process may be running with a first privilege prohibited from access to a processing resource. A second process may be running with a second privilege allowed to access the processing resource. The first process may receive a request from the second process to perform a data processing task for the second process. In response, the second privilege may be dynamically transferred to the first process to allow the first process to access the processing resource. The first process may perform operations for the data processing task with the second privilege transferred from the second process.

Abstract: The present invention relates to a flow wrapper which comprises a form and/or film tube, which forms the planar film into a film tube and/or fills the film tube with a packaging item and which comprises means to provide a longitudinal- and/or cross-seal to the film tube.