Introduction

Artificial intelligence is no longer a buzzword. However, it's now the reality that exists in our day-to-day life. Companies applying AI to various sectors are transforming industries, and there is an unprecedented demand for artificial skills. Keep reading to learn more about 7 types of artificial intelligence.

Key types of artificial intelligence - Source: Pexels

What Is Artificial Intelligence?

Artificial intelligence (AI) is a branch of computer science that focuses on developing machines that have the potential to complete tasks requiring human intelligence. Some of these tasks include learning, reasoning, problem-solving, and understanding language.

The task of AI systems is to simulate and execute cognitive functions through algorithms combined with data. They can process billions of data within a few milliseconds and act on it accordingly.

AI has revolutionised many industries, including healthcare (for diagnosis and treatment planning), finance (for fraud detection and algorithmic trading), retail (for personalised recommendations), transportation (for self-driving cars), and customer service. It’s also used in creative fields for generating art, music, and writing.

7 Types Of Artificial Intelligence

Artificial Narrow Intelligence (Narrow AI)

ANI (Artificial Narrow Intelligence), or Weak AI, is a form of artificial intelligence designed for specific tasks. ANI is superior to humans in performing one cognitive function but cannot learn other functions.

Examples of ANI are image recognition systems and conversational AI (like the iPhone's Siri application or Amazon's Alexa). ANI is only for a certain ability and focuses on one task.

Conversation AI can be a great help for your business's customer service. If you're unsure how to use it, reach out to StringeeX for support!

Weak AI performs these functions faster and better than a person, but it is limited in its functions and cannot go beyond them. All existing AI falls into this category, even the most modern systems that use machine learning and deep learning. All these algorithms aim to perform a specific task and do not learn anything new.

Artificial General Intelligence (AGI)

Artificial general intelligence (General AI or Strong AI) refers to machine thinking, learning, and making decisions similar to humans across several tasks. Unlike the current AI, which only focuses on a specific task, AGI can do different tasks, understand several contexts, and handle various new challenges that require no specifications from man.

At the time, AGI was still theoretical and had not been archived. The concept of AGI involves machines performing any intellectual task while using past experiences to learn and solve problems.

If AGI becomes real, it will change how we interact with technology, making it as smart and capable as humans.

AGI can do different tasks - Source: Freepik

Artificial Superintelligence (ASI)

Artificial superintelligence is also a theoretical type of artificial intelligence that is much more powerful than the human brain. Firstly, this system has greater processing power, allowing it to do any task much better than a human being.

Secondly, this kind of AI would be fully self-aware and experience many human emotions. Lately, it would think and learn most efficiently, processing information faster and learning better than humans.

However, the ASI idea also has concerns about the future of humanity because it can be a scenario where machines overpower people and rearrange the entire lifestyle of humanity or even eliminate it.

Reactive Machine AI

Reactive Machine AI is the most basic type of artificial intelligence. These types of AI systems can respond to inputs and react to present information. As a result, they cannot learn from past experiences, remember, or complete long-term objectives.

An obvious example of Reactive Machine AI is IBM's Deep Blue, the chess-playing supercomputer that famously outsmarted Garry Kasparov in 1997. The system had no information about its past games with Kasparov and had not learned from those games either. 

At every single point during the game, when Kasparov made a move and the systems read the overall configuration of the game, it promptly responded.

Limited Memory AI

Limited Memory AI is another more "sophisticated" artificial intelligence that can learn from previous experiences and make decisions based on this. Rather than just reciting whatever is inputted, Limited Memory AI has memory and can learn from patterns or repeat the same errors.

Nowadays, it is common to find this type of AI in self-driving cars and other modern applications like Siri/Alexa chatbots. The company uses deep learning algorithms that resemble the way neurons can process data in and out of a human brain — as it does, based on this information streamlining principles its AI learns over time.

Think of a system that can recognize images using Limited Memory AI. We can train it with many labelled images. Once trained, if we give it a new image, the AI uses what it learned from the previous images to identify the object. 

Limited Memory AI can learn from previous experiences - Source: Pexels

Theory Of Mind AI

The theory of mind AI refers to an artificial general intelligence that is aware of people's emotional and mental states based on the theory of this cognitive ability. 

It has a theory of mind, so it can relate to the beliefs, wants, and intentions of people that are not the same as ours. However, this type of AI computer hasn't existed until now.

Theory of Mind AI would allow machines to connect with humans more deeply. It could understand emotional signals, interpret the situation's context, and respond appropriately. 

This AI would create models of human thoughts and emotions to assist people better and possibly form long-term relationships. It can also explain its actions and reflect on its own thinking.

But, as you might expect, theory of mind AI is difficult because human emotions are complex and subtle. The machine can make mistakes in understanding emotions when it is learning. So, there is a risk of job automation when machines can react to emotional and situational cues.

Self-Aware AI

Self-aware AI is a hypothetical stage of artificial general intelligence where machines would have consciousness in the same way that humans do. It can recognize their own emotions, needs, and beliefs. In other words, it would know what it knows. 

This kind of AI would have desires. It could make decisions based on its internal experiences and account for them when explaining or predicting the behaviour of things in the world, including itself.

Self-aware AI can recognize their own emotions - Source: Freepik

Branches Of Artificial Intelligence

Artificial intelligence (AI) includes five major branches. Machine Learning is the ability of a computer to learn something from information, and Deep Learning uses neural nets with many layers to recognize things in images or sounds. Natural Language Processing is reading human language by a computer and also writing or speaking it back. 

Conclusion

In conclusion, understanding these types of artificial intelligence can help you know how AI has evolved, where it might be headed, handle specific tasks, and shape industries and daily life in the future. As AI continues to develop, its applications will grow, pushing boundaries and opening up new possibilities for innovation. Visit StringeeX website for more information about using AI in your business.