Abstract: A trench transistor. The transistor including: a semiconductor region, a trench structure formed in the semiconductor region; a gate insulation layer and an electrically conductive gate layer formed on the gate insulation layer in the trench structure, and a gate contact, which is electrically conductively connected to the gate layer in an edge area of the trench transistor. A thickness of the gate insulation layer in the edge area of the trench transistor is greater than in an active area of the trench transistor.

Abstract: A steering system includes a steering rod mounted for longitudinal axial sliding in a housing and a steering motor acting on the steering rod via a ball screw drive, for which the steering rod forms a ball recirculation screw thread, which interacts with a transmission nut that can be driven by the steering motor. A transmission wheel of a flexible transmission, by means of which driving power of the steering motor is transmitted to the transmission nut, is untiltably connected to an inner ring of a rotary bearing. The transmission nut is pivotably mounted on the transmission wheel about an arbitrary pivot axis, which is oriented perpendicularly to the longitudinal axis of the steering rod. The transmission nut, which is pivoted as a result of a flexural load on the steering rod, can be decoupled from the rotary bearing and from a tensile load on the transmission wheel.

Abstract: A power tool has a housing. The housing includes a battery pack attachment area. The battery pack attachment area comprises a battery pack insertion direction, a battery pack insertion opening and an end portion opposite from the battery pack insertion opening in the battery pack insertion direction. The end portion extends across the battery pack insertion direction and has at least one first contact surface for a forward portion of an inserted battery pack. Battery pack guide sections extend parallel to the battery pack insertion direction between the battery pack insertion opening and the end portion and that are spaced apart from each other. The battery pack attachment area comprises an insert which extends along the end portion and includes the at least first contact surface.

Abstract: A computer-implemented system and method relate to natural language processing and knowledge representation and reasoning. A first dataset is created that includes input data and situational data. The situational data provides context for the input data. An encoder is configured to generate an encoded representation of the first dataset. The encoder includes at least an encoding network of a first pre-trained generative machine learning model, which relates to a generative knowledge graph. A decoder includes a decoding network of a second pre-trained generative machine learning model. The decoder is configured to generate response data based on the first dataset by decoding the encoded representation. The decoder is also configured to generate event-centric knowledge based on the first dataset by decoding the encoded representation. The input data and the response data are connected to the same event-centric knowledge via the generative knowledge graph.

Abstract: The invention relates to a device and a method for reducing the number of analog inputs at a control device (16). It is proposed that at least two physical signals, which are different from each other, are transmitted at an analog input of the control device (16).

Abstract: A method for carrying out an autonomous brake application in a two-wheel motor vehicle. In the method, the need for a vehicle deceleration is detected with the aid of a surroundings sensor system; depending thereon, a driver-independent vehicle deceleration is initiated; once the vehicle deceleration has been initiated, a driver readiness variable characterizing the readiness of the driver to control the vehicle deceleration maneuver is ascertained; and the temporal progression of the vehicle deceleration is continued depending on the driver readiness variable.

Abstract: A hand-held power tool, in particular a hammer drill, includes a tool holder and a housing which has two housing half-shells. The hand-held power tool further includes a drive unit for driving a tool holder arranged in the housing. The drive unit includes at least one drive motor arranged in a motor support and a gear unit arranged in a gear unit housing. The motor support is connected directly to at least one of the two housing half-shells via at least one non-positive connection and at least one positive-locking connection. A relevant fastening axis is assigned to the at least one non-positive connection and to the at least one positive-locking connection. The fastening axis is arranged at right angles to and at a distance from an axis of rotation assigned to the tool holder.

Abstract: A method for handling an anomaly of data, in particular in a motor vehicle. At least one sensor obtains data for the anomaly detection. The sensor examines the obtained data for anomalies, and generates an event as a function of the associated data when an anomaly is detected. It is decided whether the event is further processed, in particular stored and/or further communicated, at least in part.

Abstract: A method for controlling a vehicle. In the method, data of a digital road map are read in, zones are determined for the digital road map, and possible sequences of trips along a road of the digital road map are ascertained as a function of the determined zones. Furthermore, it is ascertained, as a function of sensor data and/or current driving data of the vehicle, whether a current or predicted traffic situation is outside the possible sequences or corresponds to a possible sequence that is determined as being outside an intended operating range. If the current or predicted traffic situation is outside the possible sequences or corresponds to the possible sequence outside the intended operating range, a measure is determined and the vehicle is controlled as a function of the measure that is taken.

Abstract: As is further apparent from FIGS. 1 to 4, the illustrated exemplary embodiment of the measuring apparatus 10 comprises a second housing 12 and a metal shielding plate 14 that encompasses the second housing 12. In so doing, the metal shielding plate 14 is formed in a closed manner and pushed over the second housing 12. The second housing 12 is formed in the illustrated exemplary embodiment as a synthetic material housing. The measuring element 16.2 is formed in the illustrated embodiment as a TMR component 16.2A that is based on the TMR effect (tunnel magneto-resistive effect) and cooperates with the permanent magnet 22 that is arranged on the end of the shaft 26A of the brushless EC motor in order to detect the prevailing rotational position of the shaft 26A. It is naturally also possible to use other measuring elements 16.2 that are suitable to detect the prevailing rotational position of the shaft.

Abstract: A method is for validating a data set in a distributed database system in which the data set is stored distributedly on computers of the distributed database system. The method includes sending a request to one of the computers by a central computer. The request has a command to check for a given criterion of a partial data set of the data set on the computer to which the request was sent.

Abstract: A vertical field-effect transistor. The transistor includes: a drift region having a first conductivity type; a semiconductor fin on or over the drift region; and a source/drain electrode on or over the semiconductor fin, the semiconductor fin having an electrically conductive region that connects the source/drain electrode to the drift region in electrically conductive fashion, and having a limiting structure that is formed laterally next to the electrically conductive region and that extends from the source/drain electrode to the drift region, the limiting structure being set up to limit a conductive channel of the vertical field-effect transistor in the semiconductor fin to the area of the electrically conductive region.

Abstract: A method for operating a motor vehicle with a drive train, which has an internal combustion engine, wherein the motor vehicle is operated during a trip, and the motor vehicle is operated at least once in an overrun phase during the trip. During the overrun phase, a function is to be allocated for execution. An allocation of different functions takes place according to an allocation plan.

Abstract: A computer-implemented method for training a machine-learning network includes receiving an input data from a sensor, wherein the input data includes a perturbation, wherein the input data is indicative of image, radar, sonar, or sound information, obtain a worst-case bound on a classification error and loss for perturbed versions of the input data, utilizing at least bounding of one or more hidden layer values, in response to the input data, train a classifier, wherein the classifier includes a plurality of classes, including an additional abstain class, wherein the abstain class is determined in response to at least bounding the input data, outputting a classification in response to the input data, and output a trained classifier configured to detect the additional abstain class in response to the input data classifier with a plurality of classes, including an additional abstain class.

Abstract: A computer-implemented method for training a machine learning network includes receiving an input data from one or more sensors, selecting one or more batch samples from the input data, wherein the batch samples include one or more perturbed samples from a source class configured to be misclassified into a target class, identifying the one or more perturbed samples from the one or more batch samples, determining a trigger event in response to identification of a trigger pattern of the one or more batch samples, wherein the trigger pattern induces a pre-determined response on a classifier, outputting a classification in response to identification of the trigger pattern via the classifier, and outputting a set of trigger patterns extracted from the machine-learning network.

Abstract: Device and method for correcting an offset in a signal of a first sensor for determining a residual oxygen content in an exhaust gas. A first actual ratio of air and fuel being determined as a function of a first residual oxygen content, a second actual ratio of air and fuel being determined as a function of a second residual oxygen content, a first offset of a first actual ratio relative to a reference ratio being determined for the first actual ratio when the second actual ratio is greater than the reference ratio, a second offset of a first actual ratio relative to the reference ratio being determined for the first actual ratio when the second actual ratio is smaller than the reference ratio, and a deviation being detected between the first offset and the second offset.

Abstract: A method for displaying a virtual view of the area surrounding a vehicle, in particular a surround view or panoramic view. The method comprises: capturing a camera image of a part of the surroundings using a camera having a wide-angle lens; ascertaining an item of image information dependent on the captured camera image, the captured camera image being geometrically corrected; and displaying the virtual view by projecting the ascertained item of image information onto a virtual projection plane. When ascertaining the item of image information, the resolution of the geometrically corrected camera image is increased in a first partial region.

Abstract: A method for the digital signing of a message by a sender of the message. A check value based on a symmetrical key pair is ascertained using a secret key as part of a symmetrical key pair and the message. A digital signature is ascertained using a private key as part of an asymmetrical key pair and the check value. The digital signature is provided for transmission, to a method for checking a received, digitally signed message by a receiver.

Abstract: An AI system and a method of preventing capture of an AI module in the AI system is disclosed. The AI system includes an input interface, a signature verification module, an AI module configured to execute multiple AI models, a hash module, and a key generation module. A signature module and the key generation module provide an output to the user in response to a received input from the user. The AI module further includes an output interface configured to transmit an output response from the signature module to the user.