Abstract: One implementation involves a device receiving a stream of pixel events output by an event camera. The device derives an input image by accumulating pixel events for multiple event camera pixels. The device generates a gaze characteristic using the derived input image as input to a neural network trained to determine the gaze characteristic. The neural network is configured in multiple stages. The first stage of the neural network is configured to determine an initial gaze characteristic, e.g., an initial pupil center, using reduced resolution input(s). The second stage of the neural network is configured to determine adjustments to the initial gaze characteristic using location-focused input(s), e.g., using only a small input image centered around the initial pupil center. The determinations at each stage are thus efficiently made using relatively compact neural network configurations. The device tracks a gaze of the eye based on the gaze characteristic.

Abstract: The invention relates to a device for clamping a test piece (1, 1?, 1?), comprising an upper clamping rail (3U) and a lower clamping rail (3L) for horizontally clamping an upper end and a lower end of the test piece (1, 1?, 1?). In addition, it comprises vertical left clamping edges (4L, 4L?) and vertical right clamping edges (4R, 4R?) for laterally supporting a right side and a left side of the test piece (1, 1?, 1?). A segmented bearing, in each case comprising a plurality of pivotably movable bearing segments (26), which can be individually pivoted out of a clamping plane, is arranged on each of the upper clamping rail (3U) and the lower clamping rail (3L). The bearing segments (26) each comprise a bearing segment chuck. The invention also relates to a method for clamping a test piece (1, 1?, 1?) and to a system for buckling testing.

Abstract: In one implementation, a method includes emitting light with modulating intensity from a plurality of light sources towards an eye of a user. The method includes receiving light intensity data indicative of an intensity of the plurality of glints reflected by the eye of the user in the form of a plurality of glints. The method includes determining an eye tracking characteristic of the user based on the light intensity data. In one implementation, a method includes generating, using an event camera comprising a plurality of light sensors at a plurality of respective locations, a plurality of event messages, each of the plurality of event messages being generated in response to a particular light sensor detecting a change in intensity of light and indicating a particular location of the particular light sensor. The method includes determining an eye tracking characteristic of a user based on the plurality of event messages.

Abstract: Disclosed herein is a method for determining elastic properties of a test body by the use of tensile or compressive loading in a test stand, wherein a centroid line is defined for a longitudinal axis for the test body, centroid line miming through elastic centers of gravity of infinitesimally thick discs which lie orthogonally to the longitudinal axis and into which the test body can be divided. The test body is clamped at two clamping points by clamping devices, and a force is introduced at, at least one of the two clamping points in the direction of the respective other clamping point such that a line of action of a force introduced at, at least one of the clamping points is substantially parallel to a connection line between the two clamping points. Furthermore, by providing additional material or springs to the test body, the center of gravity line of the test body is converted into a modified centroid line of the entire system consisting of the test body and additional material or springs).

Abstract: The present disclosure describes techniques for training a neural network such that the trained network can be implemented to perform a utility task (e.g., a classification task) while inhibiting performance of a secondary task (e.g., a privacy-violating task). In some embodiments, the techniques include training a neural network using a first loss associated with a first task and a second loss associated with a second task different from the first task. In some embodiments, this includes performing a first training operation associated with the first loss, and performing a second training operation associated with the second loss, wherein the second training operation includes providing, to the neural network, a plurality of input items associated with the second task.

Abstract: One implementation involves a device receiving a stream of pixel events output by an event camera. The device derives an input image by accumulating pixel events for multiple event camera pixels. The device generates a gaze characteristic using the derived input image as input to a neural network trained to determine the gaze characteristic. The neural network is configured in multiple stages. The first stage of the neural network is configured to determine an initial gaze characteristic, e.g., an initial pupil center, using reduced resolution input(s). The second stage of the neural network is configured to determine adjustments to the initial gaze characteristic using location-focused input(s), e.g., using only a small input image centered around the initial pupil center. The determinations at each stage are thus efficiently made using relatively compact neural network configurations. The device tracks a gaze of the eye based on the gaze characteristic.

Abstract: In one implementation, a method includes emitting light with modulating intensity from a plurality of light sources towards an eye of a user. The method includes receiving light intensity data indicative of an intensity of the plurality of glints reflected by the eye of the user in the form of a plurality of glints. The method includes determining an eye tracking characteristic of the user based on the light intensity data. In one implementation, a method includes generating, using an event camera comprising a plurality of light sensors at a plurality of respective locations, a plurality of event messages, each of the plurality of event messages being generated in response to a particular light sensor detecting a change in intensity of light and indicating a particular location of the particular light sensor. The method includes determining an eye tracking characteristic of a user based on the plurality of event messages.

Abstract: One implementation involves a device receiving a stream of pixel events output by an event camera. The device derives an input image by accumulating pixel events for multiple event camera pixels. The device generates a gaze characteristic using the derived input image as input to a neural network trained to determine the gaze characteristic. The neural network is configured in multiple stages. The first stage of the neural network is configured to determine an initial gaze characteristic, e.g., an initial pupil center, using reduced resolution input(s). The second stage of the neural network is configured to determine adjustments to the initial gaze characteristic using location-focused input(s), e.g., using only a small input image centered around the initial pupil center. The determinations at each stage are thus efficiently made using relatively compact neural network configurations. The device tracks a gaze of the eye based on the gaze characteristic.

Abstract: A method for producing a heat exchanger having at least one cooling line with a lightweight metal base through which a water-based coolant can flow may include passivating a surface of the at least one cooling line, which is in contact with the coolant, before the at least one cooling line is filled with the coolant.

Abstract: In one implementation, a method includes emitting light with modulating intensity from a plurality of light sources towards an eye of a user. The method includes receiving light intensity data indicative of an intensity of the plurality of glints reflected by the eye of the user in the form of a plurality of glints. The method includes determining an eye tracking characteristic of the user based on the light intensity data. In one implementation, a method includes generating, using an event camera comprising a plurality of light sensors at a plurality of respective locations, a plurality of event messages, each of the plurality of event messages being generated in response to a particular light sensor detecting a change in intensity of light and indicating a particular location of the particular light sensor. The method includes determining an eye tracking characteristic of a user based on the plurality of event messages.

Abstract: In one implementation, a method includes emitting light with modulating intensity from a plurality of light sources towards an eye of a user. The method includes receiving light intensity data indicative of an intensity of the plurality of glints reflected by the eye of the user in the form of a plurality of glints and determining an eye tracking characteristic of the user based on the light intensity data. In one implementation, a method includes generating, using an event camera comprising a plurality of light sensors at a plurality of respective locations, a plurality of event messages, each of the plurality of event messages being generated in response to a particular light sensor detecting a change in intensity of light and indicating a particular location of the particular light sensor. The method includes determining an eye tracking characteristic of a user based on the plurality of event messages.

Abstract: The present invention concerns a multi-part core insert (1) for an injection molding mold (100) for the production of preforms having a two-part core having a longitudinal axis (10), wherein the two-part core has a lower core part (20) and an upper core part (30) arranged beside the lower core part (20) in the direction of the longitudinal axis, and a fixing element (40), wherein the fixing element (40) has an opening parallel to the longitudinal axis (10) for receiving the upper core part (30), and wherein the upper core part (30) can be fixed with the fixing element (40) at an end (22) of the lower core part (20).

Abstract: A method and device for the synchronization of processes, a first signal being sent by a clock-giving processor, the first signal having, in an alternating manner, first edges having a first direction and second edges having a second direction opposite the first edge, a temporal distance between at least one of the first edges and at least one of the second edges being determined as a function of a state of a counter in the clock-giving processor. A method for the synchronization of processes, a first signal being received by a clock-receiving processor, the first signal having, in an alternating manner, first edges having a first direction and second edges having a second direction opposite the first edge, a state of a counter in the clock-receiving processor being determined as a function of a temporal distance between at least one of the first edges and at least one of the second edges.

Abstract: One implementation involves a device receiving a stream of pixel events output by an event camera. The device derives an input image by accumulating pixel events for multiple event camera pixels. The device generates a gaze characteristic using the derived input image as input to a neural network trained to determine the gaze characteristic. The neural network is configured in multiple stages. The first stage of the neural network is configured to determine an initial gaze characteristic, e.g., an initial pupil center, using reduced resolution input(s). The second stage of the neural network is configured to determine adjustments to the initial gaze characteristic using location-focused input(s), e.g., using only a small input image centered around the initial pupil center. The determinations at each stage are thus efficiently made using relatively compact neural network configurations. The device tracks a gaze of the eye based on the gaze characteristic.

Abstract: In one implementation, a method includes emitting light with modulating intensity from a plurality of light sources towards an eye of a user. The method includes receiving light intensity data indicative of an intensity of the plurality of glints reflected by the eye of the user in the form of a plurality of glints and determining an eye tracking characteristic of the user based on the light intensity data. In one implementation, a method includes generating, using an event camera comprising a plurality of light sensors at a plurality of respective locations, a plurality of event messages, each of the plurality of event messages being generated in response to a particular light sensor detecting a change in intensity of light and indicating a particular location of the particular light sensor. The method includes determining an eye tracking characteristic of a user based on the plurality of event messages.

Abstract: The invention relates to a method for determining elastic properties of a test body (1) by means of tensile or compressive loading in a test stand, wherein a center of gravity line (2) is defined for a longitudinal axis for the test body, said center of gravity line miming through elastic centers of gravity of infinitesimally thick discs which lie orthogonally to the longitudinal axis and into which the test body can be divided. The test body is clamped at two clamping points by means of clamping devices (13, 13?), and a force is introduced at at least one of the two clamping points in the direction of the respective other clamping point such that a line of action of a force introduced at at least one of the clamping points is substantially parallel to a connection line between the two clamping points.

Abstract: A method and device for the synchronization of processes, a first signal being sent by a clock-giving processor, the first signal having, in an alternating manner, first edges having a first direction and second edges having a second direction opposite the first edge, a temporal distance between at least one of the first edges and at least one of the second edges being determined as a function of a state of a counter in the clock-giving processor. A method for the synchronization of processes, a first signal being received by a clock-receiving processor, the first signal having, in an alternating manner, first edges having a first direction and second edges having a second direction opposite the first edge, a state of a counter in the clock-receiving processor being determined as a function of a temporal distance between at least one of the first edges and at least one of the second edges.