Cuneiform law
Unlike modern codes, Cuneiform law provides no universal formula for general areas of law. Rather, laws typically consist of specific "if... then..." cases that are meant to act as an example or precedent. Punishments for crimes vary from code to code, but not all prescribe vengeance. Some call only for fines in certain instances, such as in the Code of Ur-Nammu, where one line reads: "If a man knocks out the eye of another man, he shall weigh out one-half a mina of silver." These cases are sometimes arranged in a seemingly random order, though this may be the result of an inability to properly interpret them today as they would have been at the time they were in force.
CuneiForm (software)
1997 – The first usage of neural network-based technologies in CuneiForm. The algorithms using neural networks for character recognition are developed as follows: the character image that is to be recognized (pattern) is reduced to a certain standard size (normalized). The luminance values of the normalized pattern are used as input parameters for the neural network. The number of output parameters of the neural network is equal to the number of recognized characters. The result of recognition is a symbol, which corresponds to the maximum value of the output vector of the neural network.