The 19th Century: First Programmable Computing Devices Until the 19th century "early computers", probably better described as calculating machines, were basically mechanical devices and operated by hand. Early calculators like the abacus worked with a system of sliding beads arranged on a rack and the centerpiece of Leibniz's multiplier was a stepped-drum gear design. Therefore Charles Babbage's proposal of the Difference Engine (1822), which would have (it was never completed) a stored program and should perform calculations and print the results automatically, was a major breakthrough, as it for the first time suggested the automation of computers. The construction of the Difference Engine, which should perform differential equations, was inspired by Babbage's idea to apply the ability of machines to the needs of mathematics. Machines, he noted, were best at performing tasks repeatedly without mistakes, while mathematics often required the simple repetition of steps. After working on the Difference Engine for ten years Babbage was inspired to build another machine, which he called Analytical Engine. Its invention was a major step towards the design of modern computers, as it was conceived the first general-purpose computer. Instrumental to the machine's design was his assistant, Augusta Ada King, Countess of Lovelace, the first female computer programmer. The second major breakthrough in the design of computing machines in the 19th century may be attributed to the American inventor Herman Hollerith. He was concerned with finding a faster way to compute the U.S. census, which in 1880 had taken nearly seven years. Therefore Hollerith invented a method, which used cards to store data information which he fed into a machine that compiled the results automatically. The punch cards not only served as a storage method and helped reduce computational errors, but furthermore significantly increased speed. Of extraordinary importance for the evolution of digital computers and artificial intelligence have furthermore been the contributions of the English mathematician and logician George Boole. In his postulates concerning the Laws of Thought (1854) he started to theorize about the true/false nature of binary numbers. His principles make up what today is known as Boolean algebra, the collection of logic concerning AND, OR, NOT operands, on which computer switching theory and procedures are grounded. Boole also assumed that the human mind works according to these laws, it performs logical operations that could be reasoned. Ninety years later Boole's principles were applied to circuits, the blueprint for electronic computers, by Claude Shannon.

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Like that car? The tricks of the data body industry 2. Like that car? The tricks of the data body industry In the New Economy, data have become a primary resource. Businesses unable to respond to the pressure of informatisation are quickly left behind. "Information is everything" has become the war-cry of the New Economy. More than ever, business companies now collect data related to their customers, their competitors, economic indicators, etc., and compile them in data warehouses. Large amounts of data acquired can be turned into a systematic collection called a data warehouse through data mining techniques. These data can be used for marketing, stock exchange transactions, risk assessment, and many other purposes. However, there are also many companies that specialise in data body economics as the main line of business. They collect huge amount of data process and enhance them (thereby increasing the value of the data) and offer them on to other companies. Direct marketing companies belong to this category. Direct marketing companies carry out targeted marketing, also called strategic marketing, aimed at individual customers or groups of customers. This process is based on a consumer profile, a collection of data containing personal information such as age, sex, marital status, employment, address, and information about consumer and payment behaviour. Based upon this profile, conclusions regarding possible future consumption are drawn and offers are made. For example, somebody who has been attracted by a car on display in an airport terminal and completes a card with name and address to participate in a draw reveals a lot of economically valuable information about him / herself. Apart from name and address, and other data that is completed on the card, this person also can be assumed to be a potential car buyer (evidently he / she wants a car) and to be relatively affluent (the poor do not normally travel by plane). The time when you complete the card also provides information: in July and August, you are more likely to be a holiday maker than in November. Possibly in small print somewhere on the ticket you complete you agree to receive more information about this and other products, and you agree also that your data are "electronically processed". The data acquired this way can normally be expected to be much more valuable than the car the is offered in the draw. Most people who completed the cards will not win in the draw, but instead end up on directs marketing data warehouses and one day receive offers of products and services which they never knew they wanted.

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Robot Robot relates to any automatically operated machine that replaces human effort, though it may not resemble human beings in appearance or perform functions in a humanlike manner. The term is derived from the Czech word robota, meaning "forced labor." Modern use of the term stems from the play R.U.R., written in 1920 by the Czech author Karel Capek, which depicts society as having become dependent on mechanical workers called robots that are capable of doing any kind of mental or physical work. Modern robot devices descend through two distinct lines of development--the early automation, essentially mechanical toys, and the successive innovations and refinements introduced in the development of industrial machinery.

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Data mining In data mining, data are analysed for relationships among them that have not yet been detected. This is a process used in scientific research as well as in marketing and administration. Through data mining, new surplus data can be generated out of a given quantity of data. A good general introduction to data mining and further links can be found at the University of Anglia's Data Mining Group http://www.sys.uea.ac.uk/Research/researchare...

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