7 different types of Artificial Intelligence you must know

Different types of artificial intelligence

Table of Contents

Artificial intelligence is one of the most complex as well as immensely potent technologies ever created by man. And still, it is very evident that the world of AI is still in its infancy and we are still developing it to this day. It is more like we have just touched the tip, of the tip, of the iceberg.

There are still different types of artificial intelligence you must know. Researchers, as well as experts, have pondered upon the potential of this technology, and still, there hasn’t been any conclusive evidence as to how much potential or even how many impacts the future of AI holds.

Even while our minds are currently being blown by this technology, we need to note that the genesis of AI dates back to the early 1950s. And to put things into perspective, we are still in the early stages of AI even after all these years.

However, the speed of development has increased exponentially in the last decade. There are even instances of AI being used to improve AI. Strange, but it is true. This rapid growth has induced a sense of paranoia about the inevitability and the proximity of Artificial Intelligence eventually taking over.

Key Takeaways

  • Learn about the different types of artificial intelligence you must know
  • Educate yourself about how different types of AI work
  • Classifications of the types of AI

Artificial intelligence is widely being used in almost every industry as well as by governments for a wide array of reasons. However, we need an understanding of the types of artificial intelligence to get a clear picture of how it all works.

7 Different Types of Artificial Intelligence you Must Know

AI can be classified in two different ways:

  • General classification
  1. Reactive Machines
  2. Limited Memory
  3. Theory of Mind
  4. Self-Aware
  • Classification in terms of technology
  1. Artificial Narrow Intelligence (ANI)
  2. Artificial General Intelligence (AGI)
  3. Artificial Superintelligence (ASI)

General Classification

1. Reactive Machines

This is one of the oldest types of AI. These systems are very limited in terms of capability. As the name implies, this type of artificial intelligence imitates the ability of a human mind to respond to stimuli. These systems don’t have memory and basically can’t learn. This implies that the machine can’t make use of previous responses or experiences to decide on present actions.

2. Limited Memory

This type of artificial intelligence is an upgrade to reactive machines. Along with reacting to stimuli, these systems can learn through empirical data to make better-informed future decisions. This is one of the most widely used types of AI. Almost all forms of currently existing AI applications fall under the Limited memory type.

To further elaborate on this type of AI, these systems incorporate large amounts of training data and with the help of deep learning, form models that they store in their memory, and this trained model is then used for further processing and decision making. Chatbots, self-driving cars, virtual assistants, etc are all powered by this type.

3. Theory of Mind

This type of AI currently exists as a theoretical concept and isn’t something that has been developed yet. It is the next level in AI technology that researchers and experts have been developing and innovating currently. Such a type of artificial intelligence will be able to understand the human entities that it is interacting with by understanding and making apt decisions based on their emotions, needs, beliefs, and thought processes.

While Artificial Emotional Intelligence, commonly known as Affective Computing, is already a booming industry for AI professionals, the successful development of the Theory of Mind will require consequent development in other branches of AI as well.

4. Self-Aware

The last and final stage for now has a hypothetical existence, as the name suggests, is a type of AI that closely resembles the human brain and has a developed self-awareness. This is the final goal of all AI research and we are far from this type of AI coming into existence.

This ultimate AI would have emotions, desires, and the ability to evoke and hold beliefs. Although such AI seems like a futuristic utopia for many, it comes with certain catastrophic possibilities. Once AI has advanced to this level, having ideas of its own can possibly outgrow human intelligence and lead to the end of humanity. This AI has served as a base for various futuristic representations in movies.

Also Read: Artificial Intelligence And The Future Of Humans

Classification In Terms of Technology

1. Artificial Narrow Intelligence (ANI)

An amalgamation of all existing Artificial Intelligence, ANI refers to the AI systems only capable of doing tasks specifically to what they are programmed to perform using human-like capabilities, and since they are narrow in their function, thus the name ANI. All the AI including the complex ones that work with Machine Learning as well as Deep learning, fall under this category.

2. Artificial General Intelligence (AGI)

AGI is the ability to learn and function entirely like a human by an AI Agent. Such systems have the potential to work entirely like a human and build various abilities and develop connections that reduce the time required for training. This AI system will become as capable as Human Beings and replicate our capabilities, multi-functional in nature.

3. Artificial Superintelligence (ASI)

We are aware of GI being the most capable form of AI on earth to date and when our technology reaches ASI, that would be the highest we could peak in terms of AI Research.

ASI, which can replicate the multi-faceted intelligence found in Human beings, can enhance any function switch, the availability of faster data processing, high analytical capabilities, and greater memory leading to human-like decision-making. ASI development in addition to AGI capabilities, will lead to the Singularity scenario. While this sounds technologically fancy and has a futuristic approach, one can not stop but wonder about the havoc it could create on the existence of Human beings.

Also Read: Top 10 Emerging AI And ML Trends 2022


With all the advancements in technology, it is safe to say we have a long road ahead of us in terms of Artificial Intelligence. Our capabilities have gotten us this far and are continuing to spread its branches in various domains, we do have some more milestones to achieve, one of them being regularity in the AI domain for safety. This leads to an exciting future with possibilities unknown.

This increase in demand for AI and its possible implementations make AI a sought-after skill to learn. If you are one of those who is curious about knowing more and gaining knowledge, you don’t need to look further. Verzeo’s Intelligence certification program and Intelligence Internship course provide you with a strong ladder to step on. The guidance from expert mentors from the industry and real-time projects will ensure that you learn and grow ahead in your professional life.

Frequently Asked Question (FAQs)

1. What are the different types of AI based on capabilities?

Narrow AI – Dedicated for one task
General AI – Performs like human
Super AI – Better than Human

2. What is artificial intelligence used for?

It is broadly used to provide personalized recommendations to people based on their previous online behaviour.

3. What is the most used form of artificial intelligence?

Google Translate is most widely used form of AI.

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