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If I were to name a technology that completely revolutionized the 21st century, it would be Artificial Intelligence. AI is a part of our everyday life and that’s why I think it’s important we understand the different concepts of Artificial Intelligence. This article on Types Of Artificial Intelligence will help you understand the different stages and categories of AI.
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The following topics will be covered in this article:
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What Is Artificial Intelligence?
In 1956, the term Artificial Intelligence was defined by John McCarthy. He defined AI as:
‘The science and engineering of making intelligent machines.’
Artificial Intelligence can also be defined as the development of computer systems that are capable of performing tasks that require human intelligence, such as decision making, object detection, solving complex problems and so on. To know how AI is creating designs like humans, Enroll in our AI for Designers Course today!
Now let’s understand the different stages or the types of learning in Artificial Intelligence.
While I was doing my research I found a lot of articles that stated that Artificial General Intelligence, Artificial Narrow Intelligence, and Artificial Super Intelligence are the different types of AI. To be more precise, Artificial Intelligence has three stages.
These are the three stages through which AI can evolve, rather than the 3 types of Artificial Intelligence.
Let’s understand each stage in depth.
Artificial intelligence→ Capabilities Based
Also known as Weak AI, ANI is the stage of Artificial Intelligence involving machines that can perform only a narrowly defined set of specific tasks. At this stage, the machine does not possess any thinking ability, it just performs a set of pre-defined functions.
Artificial Narrow Intelligence
Examples of Weak AI include Siri, Alexa, Self-driving cars, Alpha-Go, Sophia the humanoid and so on. Almost all the AI-based systems built till this date fall under the category of Weak AI.
Also known as Strong AI, AGI is the stage in the evolution of Artificial Intelligence wherein machines will possess the ability to think and make decisions just like us humans.
There are currently no existing examples of Strong AI, however, it is believed that we will soon be able to create machines that are as smart as humans.
Artificial General Intelligence
Strong AI is considered a threat to human existence by many scientists, including Stephen Hawking who stated that:
“The development of full artificial intelligence could spell the end of the human race…. It would take off on its own, and re-design itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded.”
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Artificial Super Intelligence is the stage of Artificial Intelligence when the capability of computers will surpass human beings. ASI is currently a hypothetical situation as depicted in movies and science fiction books, where machines have taken over the world.
Artificial Super Intelligence
I believe that machines are not very far from reaching this stage taking into considerations our current pace.
“The pace of progress in artificial intelligence (I’m not referring to narrow AI) is incredibly fast. Unless you have direct exposure to groups like Deepmind, you have no idea how fast—it is growing at a pace close to exponential. The risk of something seriously dangerous happening is in the five-year timeframe. 10 years at most.” —Elon Musk quoted.
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So, these were the different stages of intelligence that a machine can acquire. Now let’s understand the types of AI, based on their functionality.
Artificial intelligence→ Functionality Based
Based on the functionality of AI-based systems, AI can be categorized into the following types:
This type of AI includes machines that operate solely based on the present data, taking into account only the current situation. Reactive AI machines cannot form inferences from the data to evaluate their future actions. They can perform a narrowed range of pre-defined tasks.
Reactive Machine AI
An example of Reactive AI is the famous IBM Chess program that beat the world champion, Garry Kasparov.
Like the name suggests Limited Memory AI, can make informed and improved decisions by studying the past data from its memory. Such an AI has a short-lived or a temporary memory that can be used to store past experiences and hence evaluate future actions.
Limited Memory AI
Self-driving cars are Limited Memory AI, that uses the data collected in the recent past to make immediate decisions. For example, self-driving cars use sensors to identify civilians crossing the road, steep roads, traffic signals and so on to make better driving decisions. This helps to prevent any future accidents.
The Theory Of Mind AI is a more advanced type of Artificial Intelligence. This category of machines is speculated to play a major role in psychology. This type of AI will focus mainly on emotional intelligence so that human believes and thoughts can be better comprehended.
Theory of Mind AI
The Theory of Mind AI has not yet been fully developed but rigorous research is happening in this area.
Let’s just pray that we don’t reach the state of AI, where machines have their own consciousness and become self-aware. This type of AI is a little far fetched given the present circumstances. However, in the future, achieving a stage of superintelligence might be possible.
Self-Aware AI
Geniuses like Elon Musk and Stephen Hawkings have consistently warned us about the evolution of AI. Let me know your thoughts on this in the comment section.
AI is a very vast field that covers many domains like Machine Learning, Deep Learning and so on. In the below section I’ve covered the various fields of AI.
Practical application of AI technologies in computer vision
Computer vision id no less than a human vision the only difference is that human use there retinas , optic nerves and visual cortex for vision rathan that computer uses cameras, data and algorithms for vision. For better understanding we can say that computer vision is a branch of computer science that only deals with developing systems that are able of process, interpret and then perceive pictures/videos like humans do. .
Detection of objects is a technique of computer vision that can identify the objects , locate the objects, and also categorize the objects. For example , this technique can be used to identify the traffic signals on the road also to recoganise the faces of individuals in crowd. In the context of AI in Cyber Security, object detection allows computers to see the world around them and enhances security measures by accurately identifying potential threats.
Artificial intelligence in robotics is one of the biggest achievements of 21th century, it has changed the ways of robots performance, In this modern era artificial intelligence and robotics has integrated with each other. Artificial intelligence has enhanced the capabilities of robots over the years.
We have human experts in every field but still we need artificial intelligence expert why?
Well there are many things that can affect the decision made by humans like emotions, memory loss, expertise in particular domain and so on. But the decisions made by AI in customer service, or in other applications can not get affected by emotions and expertise.if given the right data input AI will give the right decision 99 percent of the time it has no memory limitations and also high security.
CaDet (cancer decision support tool),
MYCIN ( for identification of bacteria)
DENDRAL ( used for chemical analysis)
Artificial Intelligence can be used to solve real-world problems by implementing the following processes/ techniques:
Domains Of AI – Types Of AI- Edureka
Machine Learning is the science of getting machines to interpret, process and analyze data in order to solve real-world problems.
Machine Learning – Types Of AI – Edureka
Under Machine Learning there are three categories:
To learn more about Machine Learning, you can go through the following blogs:
Deep Learning is the process of implementing Neural Networks on high dimensional data to gain insights and form solutions. Deep Learning is an advanced field of Machine Learning that can be used to solve more advanced problems.
Deep Learning – Types Of AI – Edureka
Deep Learning is the logic behind the face verification algorithm on Facebook, self-driving cars, virtual assistants like Siri, Alexa and so on.
To learn more about Deep Learning you can go through the following blogs:
Natural Language Processing (NLP) refers to the science of drawing insights from natural human language in order to communicate with machines and grow businesses.
Natural Language Processing – Types Of AI – Edureka
Twitter uses NLP to filter out terroristic language in their tweets, Amazon uses NLP to understand customer reviews and improve user experience.
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This Edureka video on “Artificial Intelligence Full Course” will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
Robotics is a branch of Artificial Intelligence which focuses on different branches and application of robots. AI Robots are artificial agents acting in a real-world environment to produce results by taking accountable actions.
Robotics – Types Of AI – Edureka
Sophia the humanoid is a good example of AI in robotics.
Fuzzy logic is a computing approach based on the principles of “degrees of truth” instead of the usual modern computer logic i.e. boolean in nature.
Fuzzy Logic – Types Of AI – Edureka
Fuzzy logic is used in the medical fields to solve complex problems that involve decision making. They are also used in automatic gearboxes, vehicle environment control and so on.
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An expert system is an AI-based computer system that learns and reciprocates the decision-making ability of a human expert.
Expert Systems – Types Of AI – Edureka
Expert systems use if-then logical notations to solve complex problems. It does not rely on conventional procedural programming. Expert systems are mainly used in information management, medical facilities, loan analysis, virus detection and so on.
Artificial intelligence has revolutionized in 21th century and has become integral part of our day to day life, it has made our life easier than before. Artificial intelligence is emerging in every industry like educational sector, financial sector, health sector or argricultire sector. From Narrow AI’s specialized tasks to the theoretical prospects of General and Superintelligence, AI continues to reshape industries and daily life alike. When choosing between AI coding assistants, consider the features and benefits of Tabnine vs GitHub Copilot for your projects.
AI model is a program that has been designed on certain data set so that it can recoganize any kind of patterns and make decision without any kind of human intervention. AI models use different kind of algorithms to achieve the task, different kinds of AI models are specified for different tasks and there decision making logic is most useful.
7 types of artificial intelligence are:
3. What is the most common type of AI ?
Narrow AI and Limited memory AI are the most common types of AI used nowdays
John McCarthy is known to be the father of AI.
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So with this, we come to an end of this Types Of Artificial Intelligence Blog. If you wish to learn more about Artificial Intelligence, you can give these blogs a read:
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