Abstract: A superconducting structure is presented. In some embodiments, the superconducting structure includes a first plane of material; a second plane of material; and a separating medium positioned between the first plane and the second plane, wherein a superconducting critical temperature of the superconducting structure is adjusted by control of one or more parameters.

Abstract: An authentication system authenticates an object. The authentication system includes a capture device for capturing at least one biometric output data record (BD) for the object; a reading device for reading configuration data (Konf), associated with the object, for an artificial neural network; a processing device designed to produce the artificial neural network and to input the BD into the neural network; a verification device which captures an output from the neural network to authenticate the object, wherein the neural network is a bidirectional associative memory, particularly a Hopfield network, having a multiplicity of network states. The verification device is designed to determine the output from the neural network by capturing a final state derived from the input of the BD. The neural network stores a key associated with a particular person. The key is released only when appropriate biometric data are input into the neural network.

Abstract: A speech and textual analysis device and method for forming a search and/or classification catalog. The device is based on a linguistic database and includes a taxonomy table containing variable taxon nodes. The speech and textual analysis device includes a weighting module, a weighting parameter being additionally assigned to each stored taxon node to register recurrence frequency of terms in the linguistic and/or textual data that is to be classified and/or sorted. The speech and/or textual analysis device includes an integration module for determining a predefinable number of agglomerates based on the weighting parameters of the taxon nodes in the taxonomy table and at least one neuronal network module for classifying and/or sorting the speech and/or textual data based on the agglomerates in the taxonomy table.

Abstract: The present application is concerned with an authentication system for authenticating at least one object. The authentication system comprises: —a capture device (40) for capturing at least one biometric output data record (BD) for the object; —a reading device (50, 60) for reading configuration data (Konf), associated with the object, for an artificial neural network; —a processing device (32) which is designed to produce the artificial neural network and to input the biometric output data record (BD) into the neural network; —a verification device (33) which captures an output from the neural network in order to authenticate the object, wherein the neural network is a bidirectional associative memory, particularly a Hopfield network, having a multiplicity of network states and the verification device (33) is designed to determine the output from the neural network by capturing a final state derived from the input of the biometric output data record (BD).

Abstract: A speech and textual analysis device and method for forming a search and/or classification catalog. The device is based on a linguistic database and includes a taxonomy table containing variable taxon nodes. The speech and textual analysis device includes a weighting module, a weighting parameter being additionally assigned to each taxon node to register the recurrence frequency of terms in the linguistic and/or textual data that is to be classified and/or sorted. The speech and/or textual analysis device includes an integration module for determining a predefinable number of agglomerates based on the weighting parameters of the taxon nodes in the taxonomy table and at least one neuronal network module for classifying and/or sorting the speech and/or textual data based on the agglomerates in the taxonomy table.

Abstract: A speech and textual analysis device and method for forming a search and/or classification catalog. The device is based on a linguistic database and includes a taxonomy table containing variable taxon nodes. The speech and textual analysis device includes a weighting module, a weighting parameter being additionally assigned to each stored taxon node to register recurrence frequency of terms in the linguistic and/or textual data that is to be classified and/or sorted. The speech and/or textual analysis device includes an integration module for determining a predefinable number of agglomerates based on the weighting parameters of the taxon nodes in the taxonomy table and at least one neuronal network module for classifying and/or sorting the speech and/or textual data based on the agglomerates in the taxonomy table.