Abstract: Class types of input signals having unknown class types are automatically classified using a neural network. The neural network learns features associated with a plurality of different observed signals having respective different known class types. The neural network then recognizes features of the input signals having unknown class types that at least partially match at least some of the features associated with the plurality of different observed signals having respective different known class types. The neural network determines probabilities that each of the input signals has each of the known class types based on strengths of the matches between the recognized features of the input signals and the features associated with plurality of different observed signals. The neural network classifies each of the input signals as having one of the respective different known class types based on a highest determined probability.

Abstract: A method comprising the steps of: displaying primary data having a first sensitivity level on a first display screen that is operatively coupled to a first computer; capturing an image of the first display screen with an image capture device that is operatively coupled to a second computer that is communicatively isolated from the first computer such that no data is shared between the first and second computers; executing with the second computer a display recognition and characterization algorithm to recognize the primary data based only on the captured image of the first display screen; and augmenting the primary data by displaying secondary data on a second display, wherein the secondary data is related to, and has a higher sensitivity level than, the primary data.

Abstract: A method comprising the steps of: displaying primary data having a first sensitivity level on a first display screen that is operatively coupled to a first computer; capturing an image of the first display screen with an image capture device that is operatively coupled to a second computer that is communicatively isolated from the first computer such that no data is shared between the first and second computers; executing with the second computer a display recognition and characterization algorithm to recognize the primary data based only on the captured image of the first display screen; and augmenting the primary data by displaying secondary data on a second display, wherein the secondary data is related to, and has a higher sensitivity level than, the primary data.