Question

Write and article on artifical intelligence​

Answer 1

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As with any artificial intelligence solution, ownership and access to data are crucial. In the case of NLG, structured data is fed into the software and is processed through the "conditional logic" that's part of the narrative design. The goal is for the output to sound like a human-generated each piece of content.

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Answer 2

Answer:

Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn. It is also a field of study which tries to make computers "smart". They work on their own without being encoded with commands. John McCarthy came up with the name "artificial intelligence" in 1955.

In general use, the term "artificial intelligence" means a machine which mimics human cognition. At least some of the things we associate with other minds, such as learning and problem solving can be done by computers, though not in the same way as we do.[1] Andreas Kaplan and Michael Haenlein define AI as a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation.[2]

An ideal (perfect) intelligent machine is a flexible agent which perceives its environment and takes actions to maximize its chance of success at some goal or objective.[3] As machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition. For example, optical character recognition is no longer perceived as an exemplar of "artificial intelligence": it is just a routine technology.

At present we use the term AI for successfully understanding human speech,[1] competing at a high level in strategic game systems (such as Chess and Go), self-driving cars, and interpreting complex data.[4] Some people also consider AI a danger to humanity if it continues to progress at its current pace.[5]

An extreme goal of AI research is to create computer programs that can learn, solve problems, and think logically.[6][7] In practice, however, most applications have picked on problems which computers can do well. Searching data bases and doing calculations are things computers do better than people. On the other hand, "perceiving its environment" in any real sense is way beyond present-day computing.

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