Natural Language Processing There have been high hopes for Natural Language Processing. Natural Language Processing, also known simply as NLP, is part of the broader field of Artificial Intelligence, the effort towards making machines think. Computers may appear intelligent as they crunch numbers and process information with blazing speed. In truth, computers are nothing but dumb slaves who only understand on or off and are limited to exact instructions. But since the invention of the computer, scientists have been attempting to make computers not only appear intelligent but be intelligent.
The ability to acquire and apply knowledge and skills.” So how can we get a computer to be intelligent? Let’s start with the origin of it all. British Mathematician, Alan Turing published a paper called “Computing Machinery and Intelligence. In the paper, Turing argued that if a machine could past a certain test, then we would have evidence to say that the computer was intelligent. The test turns out to be the ‘Turing test;’ a human being asking questions through a computer terminal to either a human being and another computer.
Although intelligence is only studied in humans, is it possible that machines may be more “intelligent” than those who created the machines in the first place? Artificial intelligence is known as “the intelligence of machines and the branch of computer science that aims to create it” (“Artificial Intelligence”, 2012). These so called machines usually recognize their environment and take actions that will likely be successful. After WWII many people began working on these intelligent machines. Mathematician, Alan Turing, was one of the first after giving a lecture in 1947.
If he cannot distinguish between the human and the artificial intelligence with a greater than fifty percent rate, the artificial intelligence can be classified as a strong artificial intelligence, or having intelligence equal to a human mind (Herzfeld 34). Another important individual in the development of artificial intelligence is Isaac Asimov. Although his specialty was chemistry, which he had a terminal degree in, he often philosophized over the role artificial intelligence would have as it expanded. He wrote over 470 books, many on this very issue. He is most famous for the three laws of robotics he conceived in his book The Rest of the Robots.
Artificial Intelligence (AI). Compton's by Britannica, 2011, SIRS Discoverer, http://discoverer.prod.sirs.com. Artificial Intelligence holds the meaning for computer controlled robots or digital computer to perform tasks associated with intelligent beings. Ever since the early 1950’s scientists have attempted to invent a system capable enough to carry out complex tasks. Despite advances in computer processing speed and memory capacity, these machines still remain unable to conduct tasks that require a common approach or generalized perspective to solve problems.
What is Artificial Intelligence? Artificial Intelligence (AI) is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI was first modernly introduced in the 1940’s when the programmable digital computer was invented. This machine was based on the abstract essence of mathematical reasoning. This machine encouraged a minute group of scientist to invest thoughts into the possibility of building an electronic brain.
History of Artificial Intelligence Artificial intelligence is a concept that has been around for many years. The ancient Greeks had tales of robots, and the Chinese and Egyptian engineers made automations. However, the idea of actually trying to create a machine to perform useful reasoning could have begun with Ramon Llull in 1300 CE. After this came Gottfried Leibniz with his Calculus ratiocinator who extended the idea of the calculating machine. It was made to execute operations on ideas rather than numbers.
Artificial Intelligence Artificial Intelligence is a broad topic, consisting of different fields, from machine vision to expert systems. Nowadays with the use of high level techniques, computers have been programmed to solve many difficult problems, but the products that are available today are only a sample of what is coming in the future. AI has an interesting history and has always been on the pioneering end of computer science. In order to classify machines as "thinking", it is necessary to explain intelligence. What is intelligence exactly?
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.
Concentrating research on a more cognitive model will allow the artificial intelligence (AI) field to create more intelligent entities and ultimately, once appropriate hardware exists, a true AI. Webster's Collegiate Dictionary defines intelligence as the capacity to apprehend facts and propositions, to reason about them, and the ability to understand them and their relations to each other. A. M. Turing had this definition in mind when he made his predictions and designed his test, commonly known as the Turing test. His test is, in principle, simple. A group of judges converse with different entities, some computers and some human, without knowledge of which is which.