Introduction: The Substitution of Human Faculties with Technology: Artificial Intelligence and Expert Systems Research in artificial intelligence, starting in the 1960s, yet formulated a new goal: the automation of thought processes with intelligent machines. Although first attempts to develop "thinking" machines had only little success as the aimed at solving very general problems, the invention of expert systems marked a breakthrough. Albeit the application of those semi-intelligent systems is (still) restricted to quite narrow domains of performance, such as taxation and medical image interpretation, they are able to mimic the knowledge and reasoning capabilities of an expert in a particular discipline. While the development of intelligent machines, which are able to reason, to generalize and to learn from past experience is not likely to become reality in the very near future, research in artificial intelligence progresses quickly and sooner or later the substitution of men's unique faculties will come true.

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biotechnology summary The fusion of flesh and machine is trend which, although inscribed in the history of modern technology from its beginnings, has reached a unprecedented momentum in recent years as a result of crucial advances in information technology, biology, and the development of global networks. Consequently, doubts are emerging concerning the viability of a distinct and definable human nature. Historical and social theories and concepts are being unhinged by the spread hybrids and by new forms of artificial life which are likely to trigger social changes escaping the grip of calculation. Attempts to defend an essential human nature against technical hybridisation, rather than strengthening the human subject, may have further blurred the question of historical subjectivity. Large amounts of money are invested into research and development of artifical biology, making some of the predictions of AI and robotics experts about radical and far reaching changes a matter of time.

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William Frederick Friedman Friedman is considered the father of U.S.-American cryptoanalysis - he also was the one to start using this term.

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Gerard J. Holzmann and Bjoern Pehrson, The Early History of Data Networks This book gives a fascinating glimpse of the many documented attempts throughout history to develop effective means for long distance communications. Large-scale communication networks are not a twentieth-century phenomenon. The oldest attempts date back to millennia before Christ and include ingenious uses of homing pigeons, mirrors, flags, torches, and beacons. The first true nationwide data networks, however, were being built almost two hundred years ago. At the turn of the 18th century, well before the electromagnetic telegraph was invented, many countries in Europe already had fully operational data communications systems with altogether close to one thousand network stations. The book shows how the so-called information revolution started in 1794, with the design and construction of the first true telegraph network in France, Chappe's fixed optical network. http://www.it.kth.se/docs/early_net/

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