1940s - Early 1950s: First Generation Computers
Probably the most important contributor concerning the theoretical basis for the digital computers that were developed in the 1940s was Alan Turing, an English mathematician and logician. In 1936 he created the Turing machine, which was originally conceived as a mathematical tool that could infallibly recognize undecidable propositions. Although he instead proved that there cannot exist any universal method of determination, Turing's machine represented an idealized mathematical model that reduced the logical structure of any computing device to its essentials. His basic scheme of an input/output device, memory, and central processing unit became the basis for all subsequent digital computers.
The onset of the Second World War led to an increased funding for computer projects, which hastened technical progress, as governments sought to develop computers to exploit their potential strategic importance.
By 1941 the German engineer Konrad Zuse had developed a computer, the Z3, to design airplanes and missiles. Two years later the British completed a secret code-breaking computer called Colossus to decode German messages and by 1944 the Harvard engineer Howard H. Aiken had produced an all-electronic calculator, whose purpose was to create ballistic charts for the U.S. Navy.
Also spurred by the war the Electronic Numerical Integrator and Computer (ENIAC), a general-purpose computer, was produced by a partnership between the U.S. government and the University of Pennsylvania (1943). Consisting of 18.000 vacuum tubes, 70.000 resistors and 5 million soldered joints, the computer was such a massive piece of machinery (floor space: 1,000 square feet) that it consumed 160 kilowatts of electrical power, enough energy to dim lights in an entire section of a bigger town.
Concepts in computer design that remained central to computer engineering for the next 40 years were developed by the Hungarian-American mathematician John von Neumann in the mid-1940s. By 1945 he created the Electronic Discrete Variable Automatic Computer (EDVAC) with a memory to hold both a stored program as well as data. The key element of the Neumann architecture was the central processing unit (CPU), which allowed all computer functions to be coordinated through a single source. One of the first commercially available computers to take advantage of the development of the CPU was the UNIVAC I (1951). Both the U.S. Census bureau and General Electric owned UNIVACs (Universal Automatic Computer).
Characteristic for first generation computers was the fact, that instructions were made-to-order for the specific task for which the computer was to be used. Each computer had a different binary-coded program called a machine language that told it how to operate. Therefore computers were difficult to program and limited in versatility and speed. Another feature of early computers was that they used vacuum tubes and magnetic drums for storage.
|
TEXTBLOCK 1/5 // URL: http://world-information.org/wio/infostructure/100437611663/100438659338
|
|
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.
|
TEXTBLOCK 2/5 // URL: http://world-information.org/wio/infostructure/100437611663/100438659445
|
|
1500 - 1700 A.D.
1588
Agostino Ramelli's reading wheel
Agostino Ramelli designed a "reading wheel", which allowed browsing through a large number of documents without moving from one spot to another.
The device presented a large number of books - a small library - laid open on lecterns on a kind of ferry-wheel. It allowed skipping chapters and browsing through pages by turning the wheel to bring lectern after lectern before the eyes. Ramelli's reading wheel thus linked ideas and texts and reminds of today's browsing software used to navigate the World Wide Web.
1597 The first newspaper is printed in Europe.
|
TEXTBLOCK 3/5 // URL: http://world-information.org/wio/infostructure/100437611796/100438659704
|
|
The 19th Century: Machine-Assisted Manufacturing
Eli Whitney's proposal for a simplification and standardization of component parts marked a further milestone in the advance of the automation of work processes. In 1797 he suggested the manufacture of muskets with completely interchangeable parts. As opposed to the older method under which each gun was the individual product of a highly skilled gunsmith and each part hand-fitted, his method permitted large production runs of parts that were readily fitted to other parts without adjustment and could relatively easy be performed by machines.
By the middle of the 19th century the general concepts of division of labor, assembly of standardized parts and machine-assisted manufacture were well established. On both sides of the Atlantic large factories were in operation, which used specialized machines to improve costs, quality and quantity of their products.
|
TEXTBLOCK 4/5 // URL: http://world-information.org/wio/infostructure/100437611663/100438659364
|
|
Extract of AOL Time Warner’s Content Production and Distribution Holdings
The following selection does not claim to present an exhaustive listing, but rather picks some of the company's most important assets. Due to the rapid developments in the world of media giants the list is also subject to changes.
Cable TV Systems and Channels/Networks
Time Warner Cable has 12.6 million subscribers in the U.S. and also runs 5 local 24-hour news stations.
Cable TV channels/networks (some part-owned): HBO, HBO Plus, HBO Signature, HBO Family, HBO Comedy, HBO Zone, Cinemax, MoreMAX, ActionMAX, ThrillerMAX, HBO en Espa-ol, Comedy Central, Court TV, HBO Ole, HBO Asia, HBO Central Europe, CNN, CNN Headline News, CNN International, CNNfN, CNN/Sports Illustrated, CNN en Espa-ol, CNN Airport Network, CNN Radio, CNN Radio Noticias, CNN Interactive TBS Superstation, Turner Network Television, Cartoon Network, Turner Classic Movies, TNT Europe, Cartoon Network Europe, TNT Latin America, Cartoon Network Latin America, TNT & Cartoon Network/Asia Pacific, CNN+, n-tv
Movies, TV, Video Production, and Movie Theaters
Warner Bros. film studio
Warner Bros. Television production studios
Warner Bros. Home Video
Turner worldwide Home Video
Turner Pictures
Castle Rock Entertainment movie production company
New Line Cinema movie production company
Warner Bros. film library
Turner Film Library
Hanna Barbera Cartoons
Owns many movie houses, with over 1,000 screens, around the world
Book Publishing
Time Life Inc.
Book-of-the-Month Club
Warner Books
Little, Brown and Company
Oxmoor House
Leisure Arts
Sunset Books
Magazines
Time, People, Sports Illustrated, Fortune, Life, Money, Parenting, In Style, Entertainment Weekly, Cooking Light, Baby Talk, First Moments, Coastal Living, Health, Progressive Farmer, Southern Accents, Southern Living, Sports Illustrated, For Kids, Sunset, Teen People, Time for Kids, Weight Watchers, Mutual Funds, Your Company, Asiaweek, President, Wallpaper. Hippocrates
Recorded Music
Warner Music Group
The Atlantic Group
Elektra Entertainment Group
Rhino Entertainment
Sire Records Group
Warner Bros. Records
Warner Music International
WEA Inc.
WEA Corp.
WEA Manufacturing
Ivy Hill Corp.
Warner Special Products
Alternative Distribution Alliance
Giant Merchandising
Deals with record labels include:
Maverick records
Tommy Boy Sub Pop
Qwest
143 Records
Internet and New Media
About 130 Websites including: CNN.com, AllPolitics.com, CNNSI.com, Time Digital, People, Southern Living, Sports Illustrated
Turner New Media
Online Services including: Compuserve, Netscape, Netcenter
Pro Sports Teams and Promotions
Atlanta Braves major league baseball team
Atlanta Hawks NBA basketball team
World Championship Wrestling
Goodwill Games
Other
Six Flags entertainment/excursion parks
Warner Bros. Movie World theme park
Over 150 Warner Bros. stores, plus Turner Retail Group
25 % stake in Atari
14 % stake in Hasbro
Business Connections with Other Media Companies
Joint ventures, equity interests or major arrangements with Viacom, Sony, Bertelsmann, News Corp., Kirch, EMI, Tribune Co., and others.
|
TEXTBLOCK 5/5 // URL: http://world-information.org/wio/infostructure/100437611795/100438659100
|
|
Cooperative Association of Internet Data Analysis (CAIDA)
Based at the University of California's San Diego Supercomputer Center, CAIDA supports cooperative efforts among the commercial, government and research communities aimed at promoting a scalable, robust Internet infrastructure. It is sponsored by the Defense Advanced Research Project Agency (DARPA) through its Next Generation Internet program, by the National Science Foundation, Cisco, Inc., and Above.net.
|
INDEXCARD, 1/7
|
|
Virtual Private Networks
Virtual Private Networks provide secured connections to a corporate site over a public network as the Internet. Data transmitted through secure connections are encrypted and therefore have to be encrypted before they can be read. These networks are called virtual because connections are provided only when you connect to a corporate site; they do not rely on dedicated lines and support mobile use.
|
INDEXCARD, 2/7
|
|
DES
The U.S. Data Encryption Standard (= DES) is the most widely used encryption algorithm, especially used for protection of financial transactions. It was developed by IBM in 1971. It is a symmetric-key cryptosystem. The DES algorithm uses a 56-bit encryption key, meaning that there are 72,057,594,037,927,936 possible keys.
for more information see:
http://www.britannica.com/bcom/eb/article/3/0,5716,117763+5,00.html
http://www.cryptography.com/des/
http://www.britannica.com/bcom/eb/article/3/0...
http://www.cryptography.com/des/
|
INDEXCARD, 3/7
|
|
Java Applets
Java applets are small programs that can be sent along with a Web page to a user. Java applets can perform interactive animations, immediate calculations, or other simple tasks without having to send a user request back to the server. They are written in Java, a platform-independent computer language, which was invented by Sun Microsystems, Inc.
Source: Whatis.com
|
INDEXCARD, 4/7
|
|
PGP
A cryptographic software application that was developed by Phil Zimmerman at the Massachusetts Institute of Technology. Pretty Good Privacy (PGP) is a cryptographic product family that enables people to securely exchange messages, and to secure files, disk volumes and network connections with both privacy and strong authentication.
|
INDEXCARD, 5/7
|
|
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.
|
INDEXCARD, 6/7
|
|
Machine vision
A branch of artificial intelligence and image processing concerned with the identification of graphic patterns or images that involves both cognition and abstraction. In such a system, a device linked to a computer scans, senses, and transforms images into digital patterns, which in turn are compared with patterns stored in the computer's memory. The computer processes the incoming patterns in rapid succession, isolating relevant features, filtering out unwanted signals, and adding to its memory new patterns that deviate beyond a specified threshold from the old and are thus perceived as new entities.
|
INDEXCARD, 7/7
|
|