Abstract: A method for transmitting information for adapting a hearing aid, in which an inquiry with regard to information of a partial process of the adaptation and/or a partial process of an operation of the hearing aid is transmitted by a first participant to a networked computer infrastructure. The inquiry is checked for conformity by the networked computer infrastructure with a plurality of stored partial process instructions. In the event that conformity with the inquiry is ascertained the corresponding partial process instruction is output to the first participant. In the event that no conformity of one of the stored partial process instructions with the inquiry is ascertained, the inquiry is output to a second participant, a partial process instruction corresponding to the inquiry is created with the co-operation of the second participant, and the partial process instruction corresponding to the inquiry is output to the first participant.

Abstract: A method for transmitting information for adapting a hearing aid, in which an inquiry with regard to information of a partial process of the adaptation and/or a partial process of an operation of the hearing aid is transmitted by a first participant to a networked computer infrastructure. The inquiry is checked for conformity by the networked computer infrastructure with a plurality of stored partial process instructions. In the event that conformity with the inquiry is ascertained the corresponding partial process instruction is output to the first participant. In the event that no conformity of one of the stored partial process instructions with the inquiry is ascertained, the inquiry is output to a second participant, a partial process instruction corresponding to the inquiry is created with the co-operation of the second participant, and the partial process instruction corresponding to the inquiry is output to the first participant.

Abstract: A system for detecting a network intrusion includes a first neural network for determining a first plurality of weight values corresponding to a plurality of vectors of an input data, a second neural network for updating the first plurality of weight values received from the first neural network to a second plurality of weight values based on the plurality of vectors of the input data, a third neural network for updating the second plurality of weight values received from the second neural network to a third plurality of weight values based on the plurality of vectors of the input data, and a classification module for classifying the plurality of vectors under at least one of a plurality of intrusions based on the third plurality of weight values received from the third neural network.