Timeline 1600 - 1900 AD

17th century Cardinal Richelieu invents an encryption-tool called grille, a card with holes for writing messages on paper into the holes of those cards. Afterwards he removes the cards and fills in the blanks, so the message looks like an ordinary letter. The recipient needs to own the same card

- Bishop John Wilkins invents a cryptologic system looking like music notes. In a book he describes several forms of steganographic systems like secrets inks, but also the string cipher. He mentions the so-called Pig Latin, a spoken way of encryption that was already used by the ancient Indians

- the English scientist, magician and astrologer John Dee works on the ancient Enochian alphabet; he also possesses an encrypted writing that could not been broken until today

1605/1623 Sir Francis Bacon (= Francis Tudor = William Shakespeare?) writes several works containing ideas about cryptography. One of his most important advises is to use ciphers in such a way that no-one gets suspicious that the text could be enciphered. For this the steganogram was the best method, very often used in poems. The attempt to decipher Shakespeare's sonnets (in the 20th century) lead to the idea that his works had been written by Francis Bacon originally.

1671 Leibniz invents a calculating machine that uses the binary scale which we still use today, more advanced of course, called the ASCII code

18th century this is the time of the Black Chambers of espionage in Europe, Vienna having one of the most effective ones, called the "Geheime Kabinettskanzlei", headed by Baron Ignaz von Koch. Its task is to read through international diplomatic mail, copy letters and return them to the post-office the same morning. Supposedly about 100 letters are dealt with each day.

1790's Thomas Jefferson and Robert Patterson invent a wheel cipher

1799 the Rosetta Stone is found and makes it possible to decipher the Egyptian Hieroglyphs

1832 or 1838 Sam Morse develops the Morse Code, which actually is no code but an enciphered alphabet of short and long sounds. The first Morse code-message is sent by telegraph in 1844.

1834 the Braille Code for blind people is developed in today's form by Louis Braille

1844 the invention of the telegraph changes cryptography very much, as codes are absolutely necessary by then

1854 the Playfair cipher is invented by Sir Charles Wheatstone

1859 for the first time a tomographic cipher gets described

1861 Friedrich W. Kasiski does a cryptoanalysis of the Vigenère ciphers, which had been supposed to be uncrackable for ages

1891 Major Etienne Bazeries creates a new version of the wheel cipher, which is rejected by the French Army

1895 the invention of the radio changes cryptography-tasks again and makes them even more important

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1980s: Artificial Intelligence (AI) - From Lab to Life

Following the commercial success of expert systems, which started in the 1970s, also other AI technologies began to make their way into the marketplace. In 1986, U.S. sales of AI-related hardware and software rose to U.S.$ 425 million. Especially expert systems, because of their efficiency, were still in demand. Yet also other fields of AI turned out to be successful in the corporate world.

Machine vision systems for example were used for the cameras and computers on assembly lines to perform quality control. By 1985 over a hundred companies offered machine vision systems in the U.S., and sales totaled U.S.$ 80 million. Although there was a breakdown in the market for AI-systems in 1986 - 1987, which led to a cut back in funding, the industry slowly recovered.

New technologies were being invented in Japan. Fuzzy logic pioneered in the U.S. and also neural networks were being reconsidered for achieving artificial intelligence. The probably most important development of the 1980s was, that it showed that AI technology had real life uses. AI applications like voice and character recognition systems or steadying camcorders using fuzzy logic were not only made available to business and industry, but also to the average customer.

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Neural network

A bottom-up artificial intelligence approach, a neural network is a network of many very simple processors ("units" or "neurons"), each possibly having a (small amount of) local memory. The units are connected by unidirectional communication channels ("connections"), which carry numeric data. The units operate only on their local data and on the inputs they receive via the connections. A neural network is a processing device, either an algorithm, or actual hardware, whose design was inspired by the design and functioning of animal brains and components thereof. Most neural networks have some sort of "training" rule whereby the weights of connections are adjusted on the basis of presented patterns. In other words, neural networks "learn" from examples and exhibit some structural capability for generalization.

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Moral rights

Authors of copyrighted works (besides economic rights) enjoy moral rights on the basis of which they have the right to claim their authorship and require that their names be indicated on the copies of the work and in connection with other uses thereof. Moral rights are generally inalienable and remain with the creator even after he has transferred his economic rights, although the author may waive their exercise.

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