What are the 6 major branches of artificial intelligence? Simply Explained

The 6 branches of artificial intelligence are nothing but just a broad set of techniques that enables artificial intelligence. The field of artificial intelligence encompasses a diverse range of methodologies, including linguistics, bias, vision, planning, robotic process automation, NLP, decision, etc. Let’s learn more in-depth about some of the important AI subfields or 6 branches of artificial intelligence. In this article, you will learn about the 6 branches of artificial intelligence.


What is Artificial intelligence?

The application of computer recognition, reasoning, and action is known as artificial intelligence. It ultimately comes down to giving computers the ability to mimic human behavior, particularly cognitive ability. Data science, machine learning, and artificial intelligence are all connected, though. Read more about artificial intelligence.


Types and evaluation of Artificial intelligence

Artificial intelligence can be categorized based on its capabilities and functioning. Four basic groups can be used to categorize the many ongoing discoveries and improvements. Reactive Machines Artificial Intelligence, Limited Memory Artificial Intelligence, Theory of Mind Artificial Intelligence and Self-aware Artificial Intelligence are the types of AI based on functionality. The evaluation of AI’s three stages of artificial intelligence is simply the present, the next present, and the future state of AI. Narrow, General, and Super Artificial Intelligence are the three types of artificial intelligence based on their capabilities.


The 6 branches of artificial intelligence

These 6 branches of artificial intelligence can be utilized in conjunction with AI to resolve problems in the real world. The 6 branches of artificial intelligence are briefly presented in the section. Here are the major 6 branches of Artificial Intelligence elaborated as below:

branches of artificial intelligence

1. Machine Learning (ML)
2. Neural Network (NN)
3. Natural Language Processing (NLP)
4. Experts Systems (ES)
5. Robotics (Rob)
6. Fuzzy Logic (FL)

Machine Learning (ML)

Machine learning (ML) is one of the most important and highly demand branches among the branches of artificial intelligence. It is a science that makes it possible for computer systems and other mechanical devices to process, analyze, and interpret data to find answers to problems encountered in everyday life. Because adequate data is provided through machine learning, computer systems can learn and operate independently. The method is built up so that computers can forecast outcomes based on previous events.

Look, here are the top three machine learning categories:

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning


Neural Network (NN)

The neural network is a type of artificial intelligence that combines cognitive science, machinery, and neurology to carry out tasks (a part of biology that concerns the nerve and nervous system of the human brain). The neural network’s function is to encode the infinite number of neurons in the human brain into a system or computer.

A subfield of artificial intelligence known as neural networks uses cognitive science and neurology to aid computer systems and other technologies in performing tasks. It is referred to as “Deep Learning” because it uses synthetic neurons to tackle challenging issues.


Natural Language Processing (NLP)

NLP is a branch among 6 branches of artificial intelligence called “natural language processing”. It deals with how computers and human language interact. Natural language processing is essentially the processing of human communication’s natural language. NLP is a technique for finding, examining, comprehending, and extrapolating information from text-based data. NLP libraries are used by programmers to instruct computers on how to extract useful information from text data.


Experts Systems (ES)

A computer program that simulates the intellect of a human expert in making decisions is known as an expert system. This is done by using the knowledge in its knowledge base and answering the user’s questions using reasoning and insight principles. Expert systems are made to resolve complex problems by making sense of large quantities of knowledge, which are unlike conventional code, expressed specifically as “if-then” rules. The main applications of expert systems are in information management, healthcare facilities, loan analysis, virus detection, and other fields.


Robotics (Rob)

This area of artificial intelligence has become highly hot among the 6 branches of artificial intelligence. Robotics design and construction became a fascinating area of research and development. Mechanical engineering, electrical engineering, computer science, and many other disciplines are all merged within the interdisciplinary field of robotics. Robots are frequently used to carry out jobs that are difficult for humans to do consistently. Robots that use machine learning to set interaction at social levels are also being developed by AI researchers.


Fuzzy Logics (FL)

In the actual world, sometimes we encounter a situation where it is difficult and challenging to determine whether the situation is true or false. This area of artificial intelligence is the process of altering and displaying ambiguous information by evaluating how likely the hypothesis is to be correct. Fuzzy logic provides useful flexibility for reasoning that results in errors and uncertainties under any circumstance. Fuzzy logic is used to make decisions regarding inherently uncertain ideas. Fuzzy logic has potential applications in the medical areas to resolve difficult decision-making challenges. Additionally, it can be utilized in automatic gearboxes, vehicle climate control, and other systems.


We have looked at six subfields or 6 branches of artificial intelligence, which fall under the general heading of “artificial intelligence,” depending on how the systems work. The six fields are currently being discussed widely in businesses, research, and development organizations. Many businesses, R and D are promoting it to use it and better serve the public.



Question 1: What are the 4 types of artificial intelligence?

Answer: Reactive Machines Artificial Intelligence, Limited Memory Artificial Intelligence, Theory of Mind Artificial Intelligence and Self-aware Artificial Intelligence (Read in detail)


Question 2: What are the three main categories of AI?

Answer: Narrow, General, and Super Artificial Intelligence are the three types of artificial intelligence (Read in detail).


Question 3: What are the applications of artificial intelligence?

Answer: The application of artificial intelligence is in various industries like robotics, military, transport, healthcare, marketing, automotive, business, gaming, banking, chatbots, etc.


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