Abstract: A computer-implemented method for the fusion of a plurality of sensor signals using a neural network, a sensor signal including at least one first value that characterizes an expected value of a physical variable and including a second value that characterizes a scatter of the physical variable. In addition the neural network ascertains, based on the plurality of sensor signals, an output that characterizes a fusion of the plurality of sensor signals. The output is a function of a first intermediate output of the neural network. The first intermediate output is ascertained by at least one first neuron and including an ascertained first value that characterizes an expected value of a fusion of the plurality of sensor values, and including an ascertained second value that characterizes a scatter of the fusion, the ascertained second value of the first intermediate output being set to zero if a specifiable condition is fulfilled.

Abstract: A corner connector for connecting two hollow-profile strips of an insulating glazing unit is presented. The corner connector includes a first plug-in leg, a second plug-in leg, a corner region, and a capillary tube with a first opening and a second opening. According to one aspect, the corner region connects the second plug-in leg to the first plug-in leg so to form angle between 45° and 180° between the two plug-in legs. According to another aspect, the first plug-in leg, the second plug-in leg, and the corner region are injection molded, and the capillary tube is integrally molded into the corner region. When installed, the capillary tube establishes a connection between the inner interpane space and corresponding surroundings of the insulating glazing unit.