Global Content Channels In the 21st Century information is one of the most precious goods. World-Information.Org examines the economic interests in content production and distribution and investigates the function of commercial vs. advertising and public relations agencies and their influence on the content industry. Moreover World-Information.Org studies historical and recent developments concerning intellectual property and investigates the global trend towards stronger copyright regulation and its implications. Related search: Global Content Channels

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1960s - 1970s: Increased Research in Artificial Intelligence (AI) During the cold war the U.S. tried to ensure that it would stay ahead of the Soviet Union in technological advancements. Therefore in 1963 the Defense Advanced Research Projects Agency (DARPA) granted the Massachusetts Institute of Technology (MIT) U.S.$ 2.2 million for research in machine-aided cognition (artificial intelligence). The major effect of the project was an increase in the pace of AI research and a continuation of funding. In the 1960s and 1970s a multitude of AI programs were developed, most notably SHRDLU. Headed by Marvin Minsky the MIT's research team showed, that when confined to a small subject matter, computer programs could solve spatial and logic problems. Other progresses in the field of AI at the time were: the proposal of new theories about machine vision by David Marr, Marvin Minsky's frame theory, the PROLOGUE language (1972) and the development of expert systems.

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It is always the others Disinformation is supposed to be something evil, something ethically not correct. And therefore we prefer to connect it to the past or to other political systems than the ones in the Western hemisphere. It is always the others who work with disinformation. The same is true for propaganda. Even better, if we can refer it to the past: Adolf Hitler, supposedly one of the world's greatest and most horrible propagandists (together with his Reichsminister für Propaganda Josef Goebbels) did not invent modern propaganda either. It was the British example during World War I, the invention of modern propaganda, where he took his knowledge from. And it was Hitler's Reich, where (racist) propaganda and disinformation were developed to a perfect manipulation-tool in a way that the consequences are still working today. A war loses support of the people, if it is getting lost. Therefore it is extremely important to launch a feeling of winning the war. Never give up emotions of victory. Governments know this and work hard on keeping the mood up. The Germans did a very hard job on that in the last months of World War II. But the in the 1990s disinformation- and propaganda-business came back to life (if it ever had gone out of sight) through Iraq's invasion of Kuwait and the reactions by democratic states. After the war, reports made visible that not much had happened the way we had been told it had happened. Regarded like this the Gulf War was the end of the New World Order, a better and geographically broader democratic order, that had just pretended to having begun.

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Iris recognition Iris recognition relies upon the fact that every individuals retina has a unique structure. The iris landscape is composed of a corona, crypts, filaments, freckles, pits radial furrows and striatations. Iris scanning is considered a particularly accurate identification technology because the characteristics of the iris do not change during a persons lifetime, and because there are several hundred variables in an iris which can be measured. In addition, iris scanning is fast: it does not take longer than one or two seconds. These are characteristics which have made iris scanning an attractive technology for high-security applications such as prison surveillance. Iris technology is also used for online identification where it can substitute identification by password. As in other biometric technologies, the use of iris scanning for the protection of privacy is a two-edged sword. The prevention of identity theft applies horizontally but not vertically, i.e. in so far as the data retrieval that accompanies identification and the data body which is created in the process has nothing to do with identity theft.

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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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Artificial Intelligence Artificial Intelligence is concerned with the simulation of human thinking and emotions in information technology. AI develops "intelligent systems" capable, for example, of learning and logical deduction. AI systems are used for creatively handling large amounts of data (as in data mining), as well as in natural speech processing and image recognition. AI is also used as to support decision taking in highly complex environments. Yahoo AI sites: http://dir.yahoo.com/Science/Computer_Science/Artificial_Intelligence/ MIT AI lab: http://www.ai.mit.edu/ http://dir.yahoo.com/Science/Computer_Science... http://www.ai.mit.edu/

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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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Fuzzy logic A superset of Boolean logic (George Boole) introduced by Lotfi Zadeh in the 1960s as a means to model the uncertainty of natural language. Fuzzy logic is a type of logic that recognizes more than simple true and false values. It represents a departure from classical two-valued sets and logic, that use "soft" linguistic (e.g. large, small, hot, cold, warm) system variables and a continuous range of truth values in the interval [0,1], rather than strict binary (true or false) decisions and assignments.

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Open Systems Interconnection (OSI) Open Systems Interconnection (OSI) is a standard reference model for communication between two end users in a network. It is used in developing products and understanding networks. Source: Whatis.com

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Assembly line An assembly line is an industrial arrangement of machines, equipment, and workers for continuous flow of workpieces in mass production operations. An assembly line is designed by determining the sequences of operations for manufacture of each product component as well as the final product. Each movement of material is made as simple and short as possible with no cross flow or backtracking. Work assignments, numbers of machines, and production rates are programmed so that all operations performed along the line are compatible.

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