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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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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