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Artificial Intelligence, A Combination Of Computer Science, Physiology And Philosophy

Artificial intelligence is the study of how to makes computers do things which, at the moment, people do better. This definition is vague because of its reference to the current state of computer science. Artificial intelligence is a combination of computer science, physiology and philosophy. AI is a broad topic including many different fields, from machine vision to expert systems. AI can be described as the attempt to build machines that think and act like humans, that are able to learn and to use their knowledge to solve problems on their own. The element that is common in the fields of AI is the creation of machines that can think.

Artificial intelligence has come a long way form its early roots, driven by dedicated researches. AI really began to fascinate researches with the invention of the computers in 1943. The technology was finally available, or so it seemed to stimulate intelligent behavior. Over the next four decades, despite many stumbling blocks, AI has grown from a dozen researches, to thousands of engineers and specialists; and from programs capable of playing checkers, to system designed to diagnose disease. The ability to solve any problem no matter how big or small, it measures the intelligence in many different contexts.

Intelligent machines cannot really serve any practical purpose unless the computers could cope with the big problem, which people overcome as a matter of routine. AI is a new step that is very helpful to the society. Machines can do jobs that require detailed instructions followed and mental alertness. AI with its learning capabilities can accomplish those tasks but only if the worlds conservatives are ready to change and allow this to be a possibility. There are many capabilities of AI. The more use we get out of the machines he less work is required by us.

There would be less injuries and stress to human beings. Human beings learn by trying so we must be prepared to give a chance to AI. There is always that fear if AI is learning based, will machines learn that being rich and successful is a good thing? There are so many things that can go wrong with a new system so we must be as prepared as we can for this new technology. Research into the areas of learning, of language and of sensory perception has aided scientists in building intelligent machines. The most challenging approaches facing experts is building systems that mimic the behavior of the human brain.

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