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This Chapter outlines the logical steps to writing a good research paper. To achieve supreme excellence or perfection in anything you do, you need more than just the knowledge. Like the Olympic athlete aiming for the gold medal, you must have a positive attitude and the belief that you have the ability to achieve it. That is the real start to writing an A+ research paper. Choose a topic which interests and challenges you. http://www.aresearchguide.com/1steps.html

How to Write an A+ Research Paper

Summary: This resource describes why outlines are useful, what types of outlines exist, suggestions for developing effective outlines, and how outlines can be used as an invention strategy for writing. Each heading and subheading should preserve parallel structure. If the first heading is a verb, the second heading should be a verb. http://owl.english.purdue.edu/owl/resource/544/01/

OWL: Developing an Outline

http://en.wikipedia.org/wiki/Applications_of_artificial_intelligence

Applications of artificial intelligence - Wikipedia, the free encyclopedia

Artificial intelligence has been used in a wide range of fields including medical diagnosis , stock trading , robot control , law , scientific discovery and toys. However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore," Nick Bostrom reports. [ 1 ] "Many thousands of AI applications are deeply embedded in the infrastructure of every industry." the late 90s and early 21st century, AI technology became widely used as elements of larger systems, but the field is rarely credited for these successes. [ edit ] Computer science AI researchers have created many tools to solve the most difficult problems in computer science.
Siri isn't quite cyberpunk Apple’s new iPhone 4S has met with record sales , topping the release of the iPhone 4 last year. The iPhone 4 debuted with 1.7 million units sold. http://www.forbes.com/sites/erikkain/2011/10/15/apples-siri-and-the-future-of-artificial-intelligence/

Apple's Siri and the Future of Artificial Intelligence - Forbes

A Voice App With Siri-ous Implications for TV‏ | The Wrap Media

http://www.thewrap.com/media/blog-post/voice-app-siri-ous-implications-tv%E2%80%8F-32566 So I tested Siri, Apple's iPhone 4S voice recognition app, and here's my conclusion: It ain't a miracle app, but it raises the bar dramatically and sets the stage for a revolution in user interfaces for TVs, cars and many other devices. My tests weren't exactly scientific -- they mostly involved shoving aside other customers at my local Verizon outlet and hogging the iPhone 4S for 15 minutes. But I think I got a good idea. "Who is the president of the United States?" gave me a chart of all Barack Obama's particulars.

Some Thoughts On The Future Of Siri [Opinion] | Cult of Mac

We’ve seen the first rash of iPhone 4 reviews coming in, and they all agree on one thing: Siri is very impressive. It works because it does several things all at once. It understands what you’re saying, irrespective of your accent, and without a lot of initial training. http://www.cultofmac.com/122687/some-thoughts-on-the-future-of-siri-opinion/
Artificial intelligence ( AI ) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents" [ 1 ] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success. [ 2 ] John McCarthy , who coined the term in 1956, [ 3 ] defines it as "the science and engineering of making intelligent machines." [ 4 ] AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other. [ 5 ] Subfields have grown up around particular institutions, the work of individual researchers, the solution of specific problems and the application of widely differing tools. http://en.wikipedia.org/wiki/Artificial_intelligence

Artificial intelligence - Wikipedia, the free encyclopedia

Artificial Intelligence - Future

http://future.wikia.com/wiki/Artificial_Intelligence Artificial intelligence is a field that attempts to provide machines with human-like thinking. But despite some significant results, the grand promises failed to materialise and the public started to see AI as failing to live up to its potential [this is not impersonal, this is a opinion from someone, hence this is wrong]. This culminated in the "AI winter" of the 1990s, when the term AI itself fell out of favour, funding decreased and the interest in the field temporarily dropped.

Rise of the Robots--The Future of Artificial Intelligence: Scientific American

http://www.scientificamerican.com/article.cfm?id=rise-of-the-robots Image: PYTAK Editor's Note: This article was originally printed in the 2008 Scientific American Special Report on Robots . It is being published on the Web as part of ScientificAmerican.com's In-Depth Report on Robots . In recent years the mushrooming power, functionality and ubiquity of computers and the Internet have outstripped early forecasts about technology’s rate of advancement and usefulness in everyday life. Alert pundits now foresee a world saturated with powerful computer chips, which will increasingly insinuate themselves into our gadgets, dwellings, apparel and even our bodies. Yet a closely related goal has remained stubbornly elusive.
http://www.cs.cmu.edu/~astro/nytimes.html

Smart Machines, and Why We Fear Them

ITTSBURGH -- The cultural definition of artificial intelligence -- or A.I., as it is known -- goes something like this: "A.I. is the science of how to get machines to do the things they do in the movies." No wonder the subject makes some people nervous. The popular media portray artificial intelligence as one of the heights of human accomplishment, but also as an inevitable catalyst for the downfall of our species.

I.B.M.’s Watson - Computers Close In on the ‘Paris Hilton’ Problem - NYTimes.com

In 1963 the mathematician-turned-computer scientist John McCarthy started the Stanford Artificial Intelligence Laboratory. The researchers believed that it would take only a decade to create a thinking machine. Also that year the computer scientist Douglas Engelbart formed what would become the Augmentation Research Center to pursue a radically different goal — designing a computing system that would instead “bootstrap” the human intelligence of small groups of scientists and engineers. For the past four decades that basic tension between artificial intelligence and intelligence augmentation — A.I. versus I.A. — has been at the heart of progress in computing science as the field has produced a series of ever more powerful technologies that are transforming the world.