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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Funding Sources and Revenues While most progressive think tanks acquire their funding through many different sources, for conservative think tanks financing by corporations prevails. Among the think tanks receiving a considerable amount of corporate money are the Cato Institute (U.S. conservative/libertarian), the Brookings Institution (U.S. centrist), the Heritage Foundation (U.S. conservative), the American Enterprise Institute (U.S. conservative) and the Competitive Enterprise Institute (U.S. conservative). Also, whereas the combined revenue base of such conservative multi-issue policy institutions as the Heritage Foundation, the American Enterprise Institute, Free Congress Research and Education Foundation, the Cato Institute, and Citizens for a Sound Economy exceeded US$ 77 million in 1995, the roughly equivalent U.S. progressive Institute for Policy Studies, the Economic Policy Institute, Citizens for Tax Justice, and the Center for Budget and Policy Priorities had only US$ 9 million at their collective disposal in 1995.

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Division of labor The term refers to the separation of a work process into a number of tasks, with each task performed by a separate person or group of persons. It is most often applied to mass production systems, where it is one of the basic organizing principles of the assembly line. Breaking down work into simple, repetitive tasks eliminates unnecessary motion and limits the handling of tools and parts. The consequent reduction in production time and the ability to replace craftsmen with lower-paid, unskilled workers result in lower production costs and a less expensive final product. The Scottish economist Adam Smith saw in this splitting of tasks a key to economic progress by providing a cheaper and more efficient means of producing economic goods.

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Economic Policy Institute EPI was founded to "widen the debate about policies to achieve healthy economic growth, prosperity, and opportunity in the "new American economy"." Areas of research include political issues, economic issues, industry policy, social issues, education and environmental issues. EPI's current research agenda includes projects on: evaluating state/federal minimum wage policies; welfare reform; social security studies; domestic industrial competitiveness; nonstandard work arrangements; "fast-track" and other globalization policies; and privatization of public services.

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