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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Biometric technologies In what follows there is a brief description of the principal biometric technologies, whose respective proponents - producers, research laboratories, think tanks - mostly tend to claim superiority over the others. A frequently used definition of "biometric" is that of a "unique, measurable characteristic or trait of a human being for automatically recognizing or verifying identity" (http://www.icsa.net/services/consortia/cbdc/bg/introduction.shtml); biometrics is the study and application of such measurable characteristics. In IT environments, biometrics are categorised as "security" technologies meant to limit access to information, places and other resources to a specific group of people. All biometric technologies are made up of the same basic processes: 1. A sample of a biometric is first collected, then transformed into digital information and stored as the "biometric template" of the person in question. 2. At every new identification, a second sample is collected and its identity with the first one is examined. 3. If the two samples are identical, the persons identity is confirmed, i.e. the system knows who the person is. This means that access to the facility or resource can be granted or denied. It also means that information about the persons behaviour and movements has been collected. The system now knows who passed a certain identification point at which time, at what distance from the previous time, and it can combine these data with others, thereby appropriating an individual's data body.

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water-clocks The water-clocks are an early long-distance-communication-system. Every communicating party had exactly the same jar, with a same-size-hole that was closed and the same amount of water in it. In the jar was a stick with different messages written on. When one party wanted to tell something to the other it made a fire-sign. When the other answered, both of them opened the hole at the same time. And with the help of another fire-sign closed it again at the same time, too. In the end the water covered the stick until the point of the wanted message.

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