The Future Of Artificial Intelligence

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Imagine asking your computer to do something in the same way you would ask a friend to do it. Without having to memorize special commands that only it could understand. For computer scientists this has been an ambitious goal; that can further simplify computers. Artificial Intelligence, a system that can mimic human intelligence by performing task that usually only a human can do, usually has to use a form of natural language processing. Natural language processing, a sub-field of computer science and artificial intelligence, concerns the successfully interaction between a computer and a human. Currently one of the best examples of A.I.(Artificial Intelligence) is IBM 's Watson. A machine that gained popularity after appearing on the show …show more content…

It involves a number of different sciences including computer science, psychology, linguistics, philosophy, and mathematics. The main problem with A.I. is that human intelligence is difficult to copy and recreate. Simple things like interacting and communicating with others is remarkable hard to program. Computers would have to understand natural language; the same way another person would. It would have to think and form ideas based on questions. According to, Patrick Winston a professor at CSAIL, “simple mistakes like answering “Richard Nixon” on a question asking for a first lady points to... lack of human-like intelligence”.(Winston) Currently there are many project by large organizations that claim they found ways to get computers to understand people. Its still very early to say what the future of A.I. will be, but in a world where everybody uses phones and computers its probably going to be a big part of …show more content…

Google it self has become incredibly sophisticated and other projects like Watson are starting to show up. Asking your phone to do things has also become increasingly common with the growth of smart phones. IBM believes, “advances in question-answering (QA) technology can help support professionals in critical and timely decision making in areas like compliance, health care, business

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