What is Artificial Intelligence and Machine Learning – History of AI and ML?

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Technology is growing rapidly, there is a technology that is growing very fast, and that is Artificial intelligence. Everyone knows a little about what artificial intelligence is all about. But it is not known in detail.

We see so many activities in science fiction movies, which demonstrate the technology of the future. One of them is artificial intelligence. It is imaginary, but in the real world, this technology is increasing rapidly.

What is Artificial Intelligence?

artificial-intelligence1
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When we build a computer in such a way that it can function as human intelligence, it is called artificial intelligence, that is, when we set such programs in a machine that can act like a human being can be called Artificial Intelligence. Where do you go?

To understand AI, it is necessary to understand these 6 words –

  1. Visual perception
  2. Speech Recognition
  3. Decision making
  4. Language Translation
  5. Knowledge
  6. Reasoning Ability


Artificial Intelligence father’s – John McCarthy, it is “the science and engineering of making intelligent machines, especially intelligent computer programs”

Artificial intelligence is a way a computer is made, a computer-controlled robot or software think wisely, just as intelligent individuals think. AI is studied in terms of how the human brain thinks, and how humans learn, make decisions and work while trying to solve a problem, and then based on the Invention of intelligent applications and systems Using this study results.

Some core problems occur, such as artificial intelligence, which is worked on.

  • Reasoning
  • Learning
  • Planning
  • Problem-solving
  • Knowledge
  • Ability to move objects and manipulate
  • Perception
  • Knowledge engineering is a core part of AI research.

If the machine has the information of the world, only then it can act and react like humans.

Why is artificial intelligence needed?

A machine can think faster than humans. And there are many such tasks in which the machine works like a human and works fast.

For example, if a car is driven faster than a speed limit, then its challan will come directly to its house.

In this, the number plate photo taken by the camera will be converted into text by the computer and from that, you can find out about the owner of the car.

If a human being does the same, then he will not be able to read such a fast number plate. So that’s why artificial intelligence is needed in many such places.

What is machine learning?

machine learning
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Machine learning is also a vital part of Artificial intelligence. This gives the system the ability to automatically learn and improve from experience. And that too without explicitly programming.

It focuses on the development of computer programs. Learning begins with observation or data. Such as examples, direct experience, or instruction. Element computers have to allow themselves to learn automatically without human

There are some methods of machine learning, which we have told you.

  • supervised machine learning algorithms
  • unsupervised machine learning algorithms
  • Semi-supervised machine learning algorithms
  • Reinforcement machine learning algorithms
  • Applications of artificial intelligence
  • Use Speech recognition: Google’s voice search feature is an example of this

Examples of artificial intelligence :

  • Automation
  • Machine learning
  • Natural language processing (NLP)
  • Robotics
  • Self-driving cars

There are many examples, some of which have been given below.

 Artificial Intelligence

We have come across a major example of AI in robotics, which is about Sofia.

History of Artificial Intelligence

AI history
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Year               Innovation

1923:      The name “Rosam Universal Robots” (RUR) opened in London where the word “robot” was first used in English.

1943:      Laid the foundation for neural networks.

1945:      Columbia University alumnus Isaac Asimov coined the term robotics.

1950:      Alan Turing introduced the Turing test for intelligence assessment and published Computing Machinery and Intelligence. Claude Shannon published a detailed analysis of playing chess as a discovery.

1956:      John McCarthy coined the term Artificial Intelligence. Demonstration of the first ongoing AI program at Carnegie Mellon University.

1958:      John McCarthy invents the LISP programming language for AI.

Danny Bobrow’s research at 1964 MIT showed that computers can understand natural language well enough to solve algebra word problems correctly. Joseph Weizenbaum of the 1965 MIT produced Eliza, a communicative problem that follows a dialogue in English.

1969:      Scientists at the Stanford Research Institute developed a robot, a robot equipped with movement, perception, and problem-solving.

1973:      Assembly Robotics Group at the University of Edinburgh created the famous Scottish robot Freddy, which was able to use vision to locate and assemble the model.

1979:      The first computer-controlled autonomous vehicle, the Stanford Cart, was built.

1985:      Harold Cohen created and performed the drawing program, Aaron.

2000:      Interactive robot pets become commercially available. MIT displays a robot that has a face that expresses emotion. The robot wanderer discovers remote areas of Antarctica and detects meteorites.

Following are the major applications of AI:

  1. Expert System
  2. Game Playing
  3. Speech Recognition
  4. Natural Language
  5. Computer Vision
  6. Neural Network
  7. Robotics
  8. Finance
  9. Computer Science
  10. Weather Forecasting
  11. Aviation

The 1997 Deep Blue Chase Program defeated the then World Chess Champion,

Gary Kasparov. “

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Roshan Mehta

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