Advertising, Public Relations and Think Tanks Although advertising, public relations and think tanks at first seem to have nothing in common, after a closer look certain similarities arise. The first thing which can be noted is that public relations and the advertising industry, as well as - especially conservative - think tanks like the Heritage Foundation or the Brookings Institute have strong ties to corporate firms. Whereas the connection between the advertising and public relations industry and corporations is based on a consultant - client relation many think tanks heavily rely on corporate funding to pursue their activities. Therefore the interests of corporate firms are to an - in some cases considerable - extent reflected in their activities. Furthermore the aims of public relations and advertising firms and think tanks are not too different. Their main goal is to sell ideas and values. Albeit it sometimes makes the impression, as if only products, services and understanding (in the case of public relations) are sold, for the greater part the only thing being marketed is (political) ideology.

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The Microsoft Case Shortly after Microsoft was faced with federal antitrust charges, full-page newspaper ads supporting Microsoft's claim of innocence were run by the Independent Institute. The ads took the form of a letter signed by 240 academic experts and purported to be a scholarly, unbiased view of why the government had gone overboard in its case against the company. According to an article published in the New York Times, Microsoft had not paid for the ads, but was in fact the single largest donor to the Independent Institute, a conservative organization, that has been a leading defender of the company since it first came under fire from federal prosecutors.

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Fair use Certain acts normally restricted by copyright may, in circumstances specified in the law, be done without the authorization of the copyright owner. Fair use may therefore be described as the privilege to use copyrighted material in a reasonable manner without the owner's consent and allows the reproduction and use of a work for limited purposes such as criticism, comment, news reporting, teaching, and research. To determine whether a use is fair or not most copyright laws consider: 1) purpose and character of the use, 2) nature of the copyrighted work, 3) amount and substantiality of the portion used, and 4) effect of the use on the potential market. Examples of activities that may be excused as fair use include: providing a quotation in a book review; distributing copies of a section of an article in class for educational purposes; and imitating a work for the purpose of parody or social commentary.

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Invention According to the WIPO an invention is a "... novel idea which permits in practice the solution of a specific problem in the field of technology." Concerning its protection by law the idea "... must be new in the sense that is has not already been published or publicly used; it must be non-obvious in the sense that it would not have occurred to any specialist in the particular industrial field, had such a specialist been asked to find a solution to the particular problem; and it must be capable of industrial application in the sense that it can be industrially manufactured or used." Protection can be obtained through a patent (granted by a government office) and typically is limited to 20 years.

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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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