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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Backbone Networks Backbone networks are central networks usually of very high bandwidth, that is, of very high transmitting capacity, connecting regional networks. The first backbone network was the NSFNet run by the National Science Federation of the United States.

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