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What Is Artificial Intelligence? – Definition, Objectives, And More

What Is Artificial Intelligence_ – Definition, Objectives, And More


Artificial intelligence (AI) is a technology, or rather, a modern science direction, exploring ways to train a computer, robotic technology, and an analytical system to reason like a human being. In reality, the dream of intelligent assistant robots arose long before the invention of the first computers.

Artificial intelligence

Research in AI is done by studying a person’s mental abilities and translating the results to computers. Based on a data set that uses machine learning technology, computers attempt to simulate human intelligence. Therefore, artificial intelligence receives information from a variety of sources and disciplines. These are computer science, mathematics, linguistics, psychology, biology, mechanical engineering.

Objectives of Artificial Intelligence

The main goals of AI are pretty transparent:

The authorship of the term artificial intelligence attributed to John McCarthy, the founder of programming, the inventor of the Lisp language. In 1956, a future winner of the prestigious Turing Prize demonstrated an AI-based prototype at Carnegie Mellon University.

Through intelligent robots, humanity began to dream in the first quarter of the 20th century. The famous writer Karel Capek in 1924, staged the play “Universal Robots” at the London Theater. The performance hit the audience, and the word “robot” firmly established itself in everyday life.

Principles of Artificial Intelligence

Before describing the technological principles without which the development of artificial intelligence unthinkable, it worth getting acquainted with robotics’ ethical laws. They were raised in 1942 by Isaac Asimov in his novel “Round Dance”:

Artificial intelligence in different areas

Medicine and Healthcare

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Main Problems of Artificial Intelligence

As known, the possibilities of artificial intelligence at this stage of development are not limitless. We list the main difficulties:

  1. Machine training is only possible basecamp 3 project template on a data matrix. It means that any inaccuracies in the information significantly affect the final result.
  2. Therefore, Intelligent systems limited to a specific actvity. In other words, a philosophical system configured to detect fraud in the tax field will not be able to see deception in the banking sector. We are dealing with highly specialized programs, which are still far from human multitasking.
  3. Intelligent machines are not autonomous. To guarantee its life, a complete team of specialists required, as well as significant resources.

As we see, artificial intelligence has involved various people’s areas to facilitate. And also, favor processes that perhaps would require a longer time. Still, may it would also necessary to stop so that from ethical mindset, questions were raised that help to objectify to what extent wants to arrive with artificial intelligence, knowing that development can unlimited.

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