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AI Technology Write for Us – Artificial Intelligence is a constellation of different technologies which work together to enable machines to perceive, understand, act, and learn at levels of intelligence comparable to those of humans. This probably clarifies why there are so many definitions of artificial intelligence: AI is not limited to a single technology; if you can, send us the ideas. You submit the article contact at

What are the Origins of Artificial Intelligence?

Since at least the first century BC, humans have been worried about creating machines capable of imitating human reasoning. The term “artificial intelligence” was coined more recently in 1955 by John McCarthy. In 1956, John McCarthy and his traitors organized a conference called “Dartmouth Summer Research Project on Artificial Intelligence,” which gave birth to mechanism learning, deep learning, predictive analytics, and, more recently, prescriptive analytics. A new area of ​​study has also emerged: data science.

Why is Important for AI Technology?

Today, humans and machines are generating data faster than it is possible to absorb and interpret it to make complex decisions. Artificial intelligence is the basis of all computer-based learning and represents the upcoming complex decision-making procedures. For example, most humans can learn not to lose at a simple game of noughts and crosses when there are 255,168 possible actions, of which 46,080 lead to a draw. In contrast, checkers’ champions are rarer, given that there are more than 500 x 10 18(500 trillion) possible moves.

Types of AI Technology

According to Arend Hintze, assistant professor of integrative biology, processer science, and engineering at Michigan State University, there are four types of artificial intelligence, some of which do not yet exist. First, the “reactive machines.” Examples include Deep Blue, the IBM chess program that beat Garry Kasparov in the 1990s. Deep Blue can classify pieces on the board and make predictions.

Examples of AI Technology

Artificial intelligence is integrated into different technologies, of which six examples exist.

  1. Automation: It makes a system or process work automatically. For instance, RPA (Robotic Process Automation) can be programmed to perform repetitive tasks faster than humans.
  2. Machine learning: Machine knowledge is the science of making a computer do things without programming.
  3. Computer vision is a technology that captures and analyzes visual information using a camera. It is used in signature identification or the analysis of medical images.
  4. NLP (Natural language processing): Natural language processing is a program’s processing of human language. Spam detection is an old example.
  5. Robotics: It is about the design and manufacture of robots.

A Brief History of Artificial Intelligence

Before 1949, computers could execute commands but not remember what they were doing because they couldn’t store those commands. In 1950 his article “Computing Machinery and Intelligence,” Alan Turing discussed the possibility of building intelligent machines and testing that intelligence. Five years later, the first AI program was presented as part of the Dartmouth Summer Research Project on Artificial Intelligence (DSPRAI). This event catalyzed AI research for decades to come.

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