Do you know what is Artificial Intelligence or Artificial Intelligence (AI)? Ever since the invention of computers, humans have increased their use a lot. They use them to do all their work, due to which we have to depend more on them.

This has led to the exponential growth of their dependancy. Humans have increased the capability of these machines to a great extent such as their speed, their size and their ability to work so that they can do our work in a very short time, which will save our time.

You might have also made this goal that nowadays Artificial Intelligence is just being praised. If you do not have much knowledge about it, then you do not need to be worried because today I am going to give you complete information about what is Artificial Intelligence and why it is so important. So that by the end of this article you will get the answers to all the questions arising in your mind.

A new domain has now emerged which people know by the name of Artificial Intelligence which is basically a branch of Computer Science and whose main job is to make such intelligent machine which is as intelligent as humans and has its own Ability to take decision. This will make our work even easier.

Then without delay, let's start and know what is this artificial intelligence and why it is so important for us humans.

What is Artificial Intelligence:

Artificial intelligence or AI is a type of intellectual ability that has been developed in an artificial way. You can also think of it as the artificial brain of a system.

The full form of AI is Artificial Intelligence or in Hindi it means artificial intelligence or artificial brain. This is such a simulation that machines are given human intelligence or rather, their brains are so advanced that they can think and work like humans.

This is done especially in the computer system itself. There are mainly three processes involved in this process and they are first learning (in which information is put in the mind of machines and they are also taught some rules so that they follow those rules to complete a given task), second is Resoning (under this the machines are instructed to follow the rules made to move towards the results so that they can get an approximate or definite conclusion) and the third is Self-Correction.

If we talk about the particular application of AI, then it includes expert system, speech recognition and machine vision. AI or Artificial Intelligence is designed in such a way that it can think like humans, how the human mind first learns any problem, then processes it, decides what is the right thing to do and finally how to do it. Thinking about it while solving it.

John McCarthy first told the world about Artificial Intelligence. He was an American Computer Scientist, who first told about this technology at the Dartmouth Conference in 1956.

Today it has become very big like a tree and everything from all robotics process automation to actual robotics comes under it. In the last few years, it has gained a lot of publicity as the technology of big data has also been included in it and due to its increasing speed, size and variety of data business, many companies want to adopt this technology.

If I talk about AI, then with the help of this it has become very easy to identify the pattern in raw data, while there are many mistakes by humans, due to this companies get more insight on their data in less time.

Philosophy of Artificial Intelligence:

When man was discovering the real power of computer system, then man's desire to know more forced him to think that "Can machines also think like us?" And in the same way, the development of Artificial Intelligence started, which had only one purpose, to build such an intelligent machine which is as intelligent as humans and can think like us.

AI goals:

• Creating Expert Systems − Creating some such systems which can perform intelligent behavior, which can learn, demonstrate, explain, and advise its users with it.

• Implementing Human Intelligence in Machines - Creating systems that can understand, think, learn, and behave like humans.

What is Artificial Technique?

If we talk about the real world, then there are some strange characteristics of knowledge such as
• Its volume is very high, or rather unimaginable.

• It is not completely well-organized or well-formatted.

•Along with this, it keeps on changing continuously.

Now it comes to what is AI Technique then. So let me tell you that Artificial Technique is such a technique that we will keep the knowledge or knowledge in such an organized way that we can use it very efficiently like –

• It should be readable and understandable by the people who provide it.

• It should be easily modifyable so that its errors can be easily rectified.

• It should be useful in many places, although it is incomplete and inaccurate.

If AI techniques are equipped with complex programs, then its speed of execution can be increased to a great extent.

Types or types of Artificial intelligence:

Artificial Intelligence can be divided into many types, but the most important of them are

1) Weak AI

2) Strong AI

Weak AI :-

This type of AI is also called narrow AI, these AI systems are designed in such a way that they perform only one particular task. For example, it has a great example of Virtual Personal Assistants such as Apple's Siri weak AI.

Strong AI :-

This type of artificial intelligence is also called general artificial intelligence. This type of AI system has the intelligence of a generalized person so that if it is given a difficult task at this time, then it can easily find its solution.

The Turing Test was developed by mathematician Alan Turing in 1950, which was used to find out whether computers can also think like humans or not.

Arend Hintze, who is also an assistant professor of integrative biology and computer science and engineering at Michigan State University. He has categorized AI into four parts, which are as follows.

• Type 1: Reactive machines.

An example of this is Deep Blue, an IBM chess program that defeated Garry Kasparov in the 1990s. Deep Blue is designed in such a way that it can identify the pieces of the chess board and make predictions accordingly.

But it does not have some memory of its own so that it cannot remember about its past move which it can use in future. It analyzes the possible moves – its own and its opponent's – and then it chooses the best strategic move accordingly.

Deep Blue and Google's AlphaGO are designed for narrower purposes and cannot be easily applied in other situations.

• Type 2: Limited memory.

These types of AI systems use their past experiences to decide their future decisions. Some decision-making functions that are used in autonomous vehicles have been designed in this way.

By using similar observations, future accidents can be prevented to some extent, such as changing the car to another lane. These observations are not permanently stored.

• Type 3: Theory of mind.

This is a psychology term. This is a hypothetical concept. In this, it shows that others have their own beliefs, desires and intentions that influence their decisions.

This type of AI is not present in this world right now.

• Type 4: Self-awareness.

AI systems have their own self-awareness under this category, they have their own consciousness.

Machines which have self-awareness understand their current state and by using the same information they understand what others feel. This type of AI is not present in this world right now.

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