Types Of Artificial Intelligence

Do You Know Artificial Intelligence And The Types Of Artificial Intelligence?

The term artificial intelligence is not an unknown name for students. We know students are very curious to know about artificial intelligence and the types of artificial intelligence.

 Artificial intelligence means machine learning, logic, reasoning, and creativity, used in almost every industry. 

You can use artificial intelligence as computer science programming, analyze data, and solve or anticipate problems. 

AI adoption is rapidly increasing; according to a 2020 report by Gartner, AI adoption has grown 270% over the past four years. By 2023, it is predicted that AI will be in use by 80% of enterprises.

It also has a significant impact on job automation, as the study by the McKinsey Global Institute found that up to 375 million workers worldwide could be displaced by automation, with AI playing a significant role.

So to understand AI better, we will discuss different types of artificial intelligence.

Artificial intelligence has three cognitive skills which are –

  • Learning – The learning process basically means focusing on acquiring data or creating rules through which the data will convert into actionable form. These rules are algorithms that help computing devices in providing step-by-step instructions for how to complete a specific task.
  • Reasoning – Reasoning is an important part because it focuses on choosing the right algorithm for acquiring the desired outcome.
  • Self-correction – The word correction itself means they ensure to provide the most accurate result by fine-tuning algorithms.

Some advantages of artificial intelligence are –

  • When we talk about repetitive tasks AI can do better than humans which in turn to the reduction in human error.
  • Their services are available 24*7.
  • It helps you in digital assistance and in making faster decisions.
  • Also helps in medical applications.
  • The main point is it improves security and communication.

Artificial intelligence performs better tasks than humans when it comes to repetitive tasks, analyzing large numbers of documents. It is not so easy but needs detailed study. Let’s understand how artificial intelligence works.

Focus On The Working Of Artificial Intelligence

To fully understand how Artificial Intelligence works, you have to go through the many subdomains of AI and grasp how those domains may be applied to various industries. 

  • Machine Learning – Machine learning (ML) teaches a computer how to make inferences and conclusions based on previous experience. It recognizes patterns, analyses previous data without depending on human experience to draw a decision. This helps industries in reaching conclusions by analyzing data which saves valuable time and allows them to make better or quick decisions.
  • Deep Learning – Deep Learning helps in machine learning in which it trains a machine to categorize, infer, and predict outcomes by processing inputs through layers.
  • Neural Networks – They’re a simple set of algorithms that capture the relation between several factors and analyze the information in the same way as a human brain would.
  • Natural Language Processing – This term simply means that it is a science of reading, understanding, and interpreting language through a machine. It responds according to the users only if it understands.
  • Computer Vision – In this, algorithms try to understand an image i.e without breaking down. It studies deeply all the different parts of the image which helps to classify and to make better output decisions based on past observations.
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Now you know the working of artificial intelligence and it’s time to explore the types of artificial intelligence for better understanding.

Let’s Focus On The Types Of Artificial Intelligence

Artificial intelligence has been categorized mainly based on two types which include their capabilities and functionality. Now, we discuss these types in detail –

  1. Based On Capabilities 
  • Narrow Artificial intelligence – In the world of artificial intelligence, Narrow AI is used to perform dedicated tasks with intelligence. Narrow AI is trained for a specific task and it can’t work beyond the limitations (unpredictable things). Examples for narrow AI – self-driving cars, e-commerce sites, image recognition, and many more.
  • General Artificial intelligence – In this, it could perform any intellectual task with full of efficiency just like a human. The motive of making general AI is that a system that is smarter, behaves like a human, and thinks on its own. Now researchers are trying to create machines with general AI for making them more appropriate.
  • Super Artificial Intelligence – Super AI is the next level of general AI in which machines could surpass human intelligence. It performs tasks better than humans with cognitive properties meaning it is able to think, solve puzzles, plan, and many more. 
  1. Based On Functionality
  • Reactive Machines – It is totally based on current scenarios i.e it doesn’t store previous memories or past experiences for future actions. It performs basic operations which are in a simple form. This is basically the first stage of AI which takes a face for inputting and giving output in a simple and reactive form. This type of AI doesn’t store inputs and performs no learning. 
  • Limited Memory – To overcome the problems of reactive machines of saving the inputs. It can store past experiences or data but for a short period of time. In this, It learns from previous experiences and adopts techniques to make future decisions. One of the most accurate examples is the “Fingerprint Scanning Machine”. We all know their advantage is you can’t enter or hack the data without having permission. Basically, it reacts only to authorized people which have permission to enter or change the data. 
  • Theory of Mind – Mind means it can understand your feelings, the way you react, etc. Theory of mind is one of the types of artificial intelligence in which it understands human’s emotions, people, beliefs, and is able to interact socially in society. It is in the process of developing and researchers are giving their full efforts into developing such machines.
  • Self Awareness – This type of artificial intelligence machine is super intelligent because it has its own consciousness, emotions, and self-awareness. These machines are smarter and more intelligent than humans. Yet, it is not clear when these types of machines are there in reality. It is under process and will take decades to bring self-aware AI systems into real life.
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3. Based On Domains

  • Natural Language Processing (NLP) AI –  It is a type of artificial intelligence that focuses on the ability of machines to understand and interpret human language. NLP AI uses a combination of computational linguistics, machine learning, and deep learning algorithms to analyze and understand human language.
  • Computer Vision AI – It is a type of artificial intelligence that focuses on the ability of machines to interpret and understand visual information from the world around them. Computer Vision AI uses a combination of image processing, deep learning algorithms, and neural networks to analyze and understand images and videos.
  • Robotics AI – It is a type of artificial intelligence that focuses on the ability of machines to perform physical tasks autonomously or with minimal human intervention. Robotics AI combines the principles of robotics, control theory, and artificial intelligence to create machines that can sense and react to their environment, make decisions, and perform physical tasks.

What Is The Difference Between Type 1 and Type 2 Artificial Intelligence?

Type 1 and Type 2 artificial intelligence (AI) are two different ways of categorizing AI based on their capabilities.

Type 1 AI, or “weak” AI, is designed to perform a specific task. It specializes in a particular domain and cannot adapt to new situations outside its domain. Type 1 AI is often based on machine learning algorithms and is widely used in various applications such as image processing, speech recognition, and recommendation systems.

Type 2 AI, also known as “general” or “strong” AI, is designed to perform any intellectual task that a human can do. It is more flexible than Type 1 AI and can adapt to new situations and tasks outside its original domain. Type 2 AI is still a theoretical concept and does not exist today.

The main difference between Type 1 and Type 2 AI is the level of intelligence and adaptability. Type 1 AI specializes in a particular domain and cannot adapt to new situations. In contrast, Type 2 AI can perform any analytical task that a human can do and adapt to new situations outside its original domain.

Is Artificial Intelligence Work In Our Daily Life Or Not?

Artificial intelligence (AI) is already working in our daily life, and its impact will only increase in the coming years. AI-powered devices and applications are becoming increasingly integrated into our daily routines, making our lives easier, more efficient, and more convenient.

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  • Online shopping – Users always search for more categories when they want something. They search many sites and when they trust and find a good match, then only they buy. Artificial intelligence is used in online shopping, which provides a personal recommendation to users that is totally based on previous searches and purchases. 
  • Digital personal assistants – We use smartphones that help you organize your daily routine. It can answer your questions, easily translate the language, and many more.
  • Machine translations – Sometimes machines translate in a different language and we are not able to understand how it works. Then it helps in understanding the language by translating it into our language. It becomes easy for us to identify the machine working.
  • Cybersecurity – AI systems can help recognize and fight cyberattacks based on recognizing patterns that help backtrack these attacks.
  • Artificial intelligence against Covid-19 – In the case of Covid-19, Artificial intelligence helps in identifying proper health care treatments, claims, can easily track the spreading areas of the disease.
  • Fraud detection – AI algorithms detect fraudulent activity in financial transactions, helping to prevent fraud and protect our financial information.
  • Language translation – AI-powered language translation software helps us to communicate with people who speak different languages.
  • Autonomous vehicles – AI is used in self-driving cars to enable them to navigate roads and traffic without human intervention.


Artificial intelligence and the types of artificial intelligence change our lifestyle of living. It comes slowly in every area of our lives like online shopping, entertainment, weather forecasting, etc. Artificial intelligence has also become a hot topic in our education system also. It improves students’ skills by giving tutorials, grading, giving feedback on the course quality, and many more. 

Students need to give their valuable time and resources to the deep learning of artificial intelligence. If you need experienced experts you can contact us. We will help you out in preparing artificial intelligence assignments help within your deadline. As you all know the topic of artificial intelligence is not so easy and sometimes it becomes a nightmare for the students. Don’t worry, we will help you in your learning and for better grading.


Is AI dangerous?

AI can be dangerous if it is designed or misused. While AI can revolutionize many aspects of society, there are also risks associated with its development and deployment.

Why is AI needed?

AI is needed because it can automate and augment tasks currently performed by humans, making them faster, more accurate, and more efficient.

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