Introduction to Artificial Intelligence – What is AI and Why AI Matters

In this AI Tutorial, we will study a brief introduction to AI to understand what is artificial intelligence meaning and why AI matters in today’s world. Also, will learn types, goals, techniques for Artificial intelligence. Moreover, we will study AI applications.

So, let’s start Artificial Intelligence Tutorial.

Introduction to Artificial Intelligence - What is AI and Why AI Matters

1. What is Artificial Intelligence?

According to the father of Artificial Intelligence, John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”.
Also, intelligence distinguishes us from everything in the world. As it has the ability to understand, apply knowledge. Also, improve skills that played a significant role in our evolution.
We can define AI as the area of computer science. Further, they deal with the ways in which computers can be made. As they made to perform cognitive functions ascribed to humans.
AI draws heavily on the following domains of study:
  • Computer Science
  • Cognitive Science
  • Engineering
  • Ethics
  • Linguistics
  • Logic
  • Mathematics
  • Natural Sciences
  • Philosophy
  • Physiology
  • Psychology
  • Statistics

2. Philosophy of AI

As if we see the powers that are exploiting the power of the computer system, the curiosity of human lead him to wonder,

“Can a machine think and behave as humans do?”

Thus, AI was started with the intention of creating similar intelligence in machines. Also, that we find and regard high in humans.

3. Goals of Artificial Intelligence

a. To Create Expert Systems
It is the type of system in which the system exhibits intelligent behavior, and advice its users.
b. To Implement Human Intelligence in Machines
It is the way of creating systems that understand, think, learn, and behave like humans.

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4. What Contributes to AI

Basically, artificial intelligence is based on the following disciplines such as
  • Computer Science
  • Biology
  • Psychology
  • Linguistics
  • Mathematics and
  • Engineering

Artificial Intelligence

5. Types of AI

There are two types of artificial intelligence such as:

a. Strong artificial intelligence

Basically, it deals with the creation of real intelligence artificially. Also, strong AI believes that machines can be made sentient.

There are two types of strong AI:

  • Human-like AI
In this computer program thinks and reasons for the level of human being.
  • Non-human-like AI
In this computer program develops a non-human way of thinking and reasoning.

b. Weak artificial intelligence

As a result, it doesn’t believe creating human-level intelligence in machines is possible. Although, AI techniques can be developed to solve many real-life problems.

Learn the Advantages and Disadvantages of Artificial Intelligence.

6. Why AI?

There are some reasons behind its need. So, let us first compare differences between traditional Computer programs vs. Human Intelligence.

  • As it’s identified that normal humans have the same intellectual mechanisms. Moreover, the difference in intelligence is related to “quantitative biochemical and physiological conditions.”
  • Traditionally, we use computing for performing mechanical computations using fixed procedures. Also, there are more complex problems which we need to solve.
For example :
Computers have more trouble in understanding a specific situation, unlike humans. Also, we need AI to make machines think and tackle such complex assignments. It is a game changer.

7. Artificial Intelligence Technique

  • Basically, its volume is huge, next to unimaginable.
  • Also, it is not well-organized or well-formatted.
  • Although, it keeps changing constantly.
As AI Technique is a manner to organize. Also, we use it efficiently in such a way that −
  • Basically, it should be perceivable by the people who provide it.
  • As it should be easily modifiable to correct errors.
  • Moreover, it should be useful in many situations. Though it is incomplete or inaccurate.

8. Applications of Artificial Intelligence

a. Natural Language Processing
Basically, it is possible to interact with the computer. Also, they understand only natural language that was spoken by humans.
  • In strategic games, AI plays a crucial role. Such as chess, poker, tic-tac-toe, etc.,
  • As applications present which integrates machines, software to impart reasoning and advising. They provide explanations and advice to the users.
c. Speech Recognition
Basically, systems capable of hearing the language. And also their meanings while human talks to it.
d. Healthcare
AI improves predictability, reliability, and consistency with the quality and safety of the patient. We can use AI as a decision augmentation tool, but it should not contain free reign without guidance and human interaction
So, this was all about artificial intelligence Tutorial. Hope you like our explanation.

9. Summary

As a result, we have studied a brief Introduction to Artificial Intelligence. Also, it’s types and techniques. Moreover, we learned real-life applications that will clear the concept of AI. Furthermore, if you feel any query, feel free to ask in the comment section.

5 Responses

  1. shubham kale says:

    how many various fields are there in artificial intelligence?
    do we need to learn all of the fields time-to-time or stick to one of the field of ai?
    do we any job opportunities regarding ai in mumbai?
    we must complete ai for job recruitment courses

    • DataFlair Team says:

      Hi Shunham,
      Thanks for interacting with us through this AI tutorial. There are many sub-fields available in Artificial Intelligence: Neural Networks, Evolutionary Computation, Vision, Robotics, Expert Systems, Speech Processing, Natural Language Processing, Planning, and Machine Learning.
      Yes, you can get an AI job in Mumbai. For that, you can refer to our Job portal.
      Hope, it helps you!

  2. Dawit says:

    its very nice briefing

  3. riyathaman says:

    Astounding! I must say that it is a very comprehensive list!. I like everything! Thankful for sharing!

    • DataFlair Team says:

      Thanks for your kind words. Share the AI tutorial on social media and spread the knowledge with your friends & colleagues.

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