Abstract: A method for controlling a robotic device includes, for each control vector from a plurality of control vectors: controlling the robotic device to perform a sequence of actions, the control vector indicating which action is to be performed for a respectively observed control situation; and determining, by the sequence of actions, values of multiple target metrics that evaluate the performance of a specified task. The method then adjusts a probability distribution of the control vectors such that the probability of control vectors is increased for which the specified task was performed with high evaluations and the multiple target metrics have satisfied at least one target condition; randomly selects a control vector according to the probability distribution for performing the task in a current control scenario; and controls the robotic device to perform a sequence of actions, the control vector indicating which action is performed for a respectively observed control situation.

Abstract: In a method of fitting of a hearing device having an input transducer and an output transducer, the method includes executing a fitting application on a graphical user interface of an external device in communication with the hearing device, detecting by measuring reactions of the user to picked-up sound, performing acoustic feedback measurements as a background process without a user's involvement, assessing the probability of a correct physical fit based on the position of the inserted hearing device, assessing feedback risk based on the correct physical fit assessment and the acoustic feedback measurements, and fine tuning fitting parameter of the hearing device based on the result of at least one of the detected reactions of the user, acoustic feedback measurements and saved, within the fitting application, personal information of the user.

Abstract: A method of detecting a sudden change in a feedback/echo path of a hearing aid is based on a gradient of an adaptive filter comprising an adaptive algorithm configured to estimate the feedback/echo path. The method may comprise comparing a smoothed and processed version of the gradient values over time to a threshold value. A hearing aid configured to detect a sudden change in a feedback/echo path is furthermore provided.

Abstract: Disclosed by the present application is a crystalline form of a capsid protein assembly inhibitor containing an N hetero five-membered ring; specifically disclosed is the crystalline form of the compound of formula I; also comprised is an the application of said crystalline form in the preparation of a drug for preventing or treating diseases benefiting from the inhibition of capsid protein assembly.

Abstract: Embodiments of the present disclosure relate to the technical field of displays, and disclose a screen correction method, an electronic device, and a computer-readable storage medium. The method comprises: acquiring a first display parameter of pixel points in at least two display regions of a target screen, wherein the first display parameter comprises first spectral tristimulus values; determining a target region in the display regions and determining a second display parameter of pixel points in a non-target region in the display regions according to the first display parameter, wherein the target region is a display region among the display regions where a luminance parameter meets a preset requirement, and the second display parameter comprises second spectral tristimulus values; converting the luminance parameter into a target display parameter with the type of the second spectral tristimulus values; and compensating the second display parameter based on the target display parameter.

Abstract: A method for controlling a robot. The method includes providing demonstrations for performing each of a plurality of skills; training from the demonstrations, a robot trajectory model for each skill, each trajectory model is a hidden semi-Markov model having one or more initial states and one or more final states; training, from the demonstrations, a precondition model for each skill comprising, for each initial state, a probability distribution of robot configurations before executing the skill, and a final condition model for each skill comprising, for each final state, a probability distribution of robot configurations after executing the skill; receiving a description of a task, the task includes performing the skills of the plurality of skills in sequence and/or branches; generating a composed robot trajectory model; and controlling the robot according to the composed robot trajectory model to execute the task.

Abstract: A hearing aid includes a feedback control system for handling external feedback from an output transducer to an input transducer. The feedback control system includes an open loop gain estimator for providing an instant open loop gain estimate; an adaptive filter configured to provide a current estimate of the feedback path transfer function; a feedback change estimator configured to provide an instant estimate of the feedback path transfer function in dependence of the forward path transfer function, the instant open loop gain estimate; and an adaptive filter controller for providing an update transfer function estimate for the adaptive filter in dependence of the instant estimate of the feedback path transfer function. The hearing aid is configured to use the update transfer function estimate in the adaptive filter to update the current estimate of the feedback path transfer function. A method of detecting a sudden change in a feedback/echo path is further disclosed.

Abstract: A method for controlling a robot device. The method includes providing a selection model and executing multiple instances of a task, including, in each execution, when a function of the robot device needs to be selected to perform the task instance, checking whether the selection model provides a selection of a function and, if yes, controlling the robot device to perform the function selected by the selection model and if no, receiving user input indicating a selection of a function, selecting a function according to the selection indicated by the user input, controlling the robot device to perform the function selected according to the selection indicated by the user input and training the selection model according to the selection indicated by the user input.

Abstract: A hearing aid adapted for being worn by a user at or in an ear of the user comprises a) at least one input transducer for converting sound in an environment around the user to at least one electric input signal representing said sound; b) an output transducer for converting a processed output signal provided in dependence of said at least one electric input signal to stimuli perceivable to the user as sound; c) a feedback control system comprising an adaptive filer, the feedback control system being configured to provide an adaptively determined estimate (h*(n)) of a current feedback path (h(n)) from said output transducer to said at least one input transducer in dependence of c1) said at least one electric input signal, c2) said processed output signal, and c3) an adaptive algorithm.

Abstract: A method for controlling a robot. The method includes performing demonstrations and descriptor images for the demonstrations from a point of view of the robot of the object; selecting a set of feature points, wherein the feature points are selected by searching an optimum of an objective function which rewards selected feature points being visible in the descriptor images; training a robot control model using the demonstrations and controlling the robot for a control scene with the object by determining a descriptor image of the object, locating the selected set of feature points in the descriptor image of the object; determining Euclidean coordinates of the located feature points; estimating a pose from the determined Euclidean coordinates; and controlling the robot to handle the object by means of the robot control model with the estimated pose.

Abstract: The present application discloses a method and a device for eliminating a brightness mura defect of a liquid crystal display, and relates to the technical field of liquid crystal displays. The method disclosed by the present application includes the following steps: acquiring an image to be displayed, wherein the image to be displayed includes a plurality of pixels; determining a compensation coefficient corresponding to each channel of each of the pixels according to an original gray scale value corresponding to each channel of each of the pixels; calculating a compensation gray scale value corresponding to each channel of each of the pixels according to the original gray scale value and the compensation coefficient corresponding to each channel of each of the pixels; and outputting and displaying the image to be displayed according to the compensation gray scale value corresponding to each channel of each of the pixels.

Abstract: A hearing aid configured to be worn by a user, the hearing aid comprising a user interface allowing the user to control functionality of the hearing aid, and a feedback sensor for repeatedly providing a feedback signal indicative of a current estimate of feedback from an output transducer to an input transducer of the hearing aid, wherein the user interface is based on changes to the current estimate of the feedback path, e.g. provided by the user. A method of operating a hearing aid is further disclosed. Thereby an alternative user interface for a hearing aid may be provided. The invention may e.g. be used in hearing aids or headsets, or a combination thereof.

Abstract: A method of training a robot system for manipulation of objects, the robot system being able to perform a set of skills, wherein each skill is learned as a skill model, the method comprising: receiving physical input from a human trainer, regarding the skill to be learned by the robot; determining for the skill model a set of task parameters including determining for each task parameter of the set of task parameters if a task parameter is an attached task parameter, which is related to an object being part of said kinesthetic demonstration or if a task parameter is a free task parameter, which is not related to a physical object; obtaining data for each task parameter of the set of task parameters from the set of kinesthetic demonstrations, and training the skill model with the set of task parameters and the data obtained for each task parameter.

Abstract: A hearing aid is configured to be worn in and/or at an ear of a user, and comprises a) an input transducer for converting an input sound to an electric input signal representing sound, h) an output transducer for converting a processed electric output signal to an output sound, c) a signal processor operationally coupled to the input and output transducers and configured to apply a forward gain to the electric input signal or a signal originating therefrom, wherein the input transducer, the signal processor and the output transducer forming part of a forward path of the hearing aid.

Abstract: A hearing aid comprises a) at least one input transducer for providing at least one electric input signal representing said sound; b) an output transducer for providing stimuli perceivable to the user as sound; c) a feedback control system configured to minimize feedback from said output transducer to said at least one input transducer, and to at least provide a feedback corrected version of said at least one electric input signal; and d) an audio signal processor configured to apply one or more processing algorithms to said feedback corrected version of said at least one electric input signal, and to provide a processed signal in dependence thereof. The feedback control system is based on a machine learning model receiving input data at least representing said at least one electric input signal; and said processed signal; and providing said feedback corrected version of the at least one electric input signal as an output. A method of training a machine learning model is further disclosed.

Abstract: The present technology relates to processes, mixtures and intermediates useful for making picolinamide fungicides. The picolinamide compounds are prepared by processes that include coupling together a 4-methoxy-3-acyloxypicolinic acid with key 2-amino-L-alaninate esters derived from substituted 2-phenylethanols.

Abstract: A hearing aid is configured to be worn in and/or at an ear of a user, and comprises a) an input transducer for converting an input sound to an electric input signal representing sound, b) an output transducer for converting a processed electric output signal to an output sound, c) a signal processor operationally coupled to the input and output transducers and configured to apply a forward gain to the electric input signal or a signal originating therefrom, wherein the input transducer, the signal processor and the output transducer forming part of a forward path of the hearing aid.

Abstract: A method for controlling a robotic device. The method includes providing demonstrations for carrying out a skill by the robot, each demonstration including a robot pose, an acting force as well as an object pose for each point in time of a sequence of points in time, ascertaining an attractor demonstration for each demonstration, training a task-parameterized robot trajectory model for the skill based on the attractor trajectories and controlling the robotic device according to the task-parameterized robot trajectory model.

Abstract: Disclosed by the present application is a crystalline form of a capsid protein assembly inhibitor containing an N hetero five-membered ring; specifically disclosed is the crystalline form of the compound of formula I; also comprised is an the application of said crystalline form in the preparation of a drug for preventing or treating diseases benefiting from the inhibition of capsid protein assembly.

Abstract: A method for planning a manipulation task of an agent, particularly a robot. The method includes: learning a number of manipulation skills wherein a symbolic abstraction of the respective manipulation skill is generated; determining a concatenated sequence of manipulation skills selected from the number of learned manipulation skills based on their symbolic abstraction so that a given goal specification indicating a given complex manipulation task is satisfied; and executing the sequence of manipulation skills.