3 Types of Artificial Intelligence Explained

AI is a very broad field that covers many domains, such as machine learning, deep learning, etc. In this article, we'll explore the different fields of AI and the types of artificial intelligence they encompass. Machine learning is the science that causes machines to interpret, process, and analyze data to solve real-world problems. It is the foundation of many AI applications, such as facial recognition and autonomous cars.

Machine learning types of artificial intelligence include:

• Edureka

Deep learning is an advanced field of machine learning that can be used to solve more complex problems. It involves implementing neural networks in high-dimensional data to obtain information and create solutions.

Deep learning

types of artificial intelligence include:

• Edureka

Natural language processing (NLP) refers to the science that extracts information from natural human language to communicate with machines and grow businesses. It is used in virtual assistants such as Siri and Alexa.

Natural language processing types of artificial intelligence include:

• Edureka

Robotics is a branch of Artificial Intelligence that focuses on different branches and applications of robots. AI robots are artificial agents that act in a real world environment to produce results by taking responsible action.

Robotics

types of artificial intelligence include:

• Edureka

Fuzzy logic is a computer approach based on the principles of “degrees of truth” rather than the usual modern computer logic. It is used in the field of medicine to solve complex problems involving decision-making, as well as in automatic gearboxes and control of the vehicle environment.

Fuzzy logic types of artificial intelligence include:

• Edureka

Expert systems use if-then logical notations to solve complex problems. They are not based on conventional procedural programming and are mainly used in information management, medical facilities, loan analysis, virus detection, etc.

Expert systems

types of artificial intelligence include:

• Edureka

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What Is Artificial Intelligence?

In the last decade, artificial intelligence has become a technology used for facial recognition and autonomous cars.

Artificial intelligence is a branch of computer science that strives to replicate or simulate human intelligence in a machine, so that machines can perform tasks that normally require human intelligence. For example, AI that processes natural language is a type of limited intelligence because it can recognize and respond to voice commands, but cannot perform other tasks beyond that. 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, etc. The goal of designing general artificial intelligence (AGI), which is still a work in progress, is to be able to create machines that are capable of performing multifunctional tasks and that act as intelligent and realistic assistants for humans in everyday life.

Types Of Artificial Intelligence

There are three main types of artificial intelligence: artificial narrow intelligence (ANI), artificial general intelligence (AGI) and artificial superintelligence (ASI).

Artificial Narrow Intelligence (ANI)

The first group, artificial narrow intelligence (ANI), is made up of AI tools designed to carry out very specific actions or commands.

Also known as weak AI, ANI is the stage in the evolution of Artificial Intelligence in which machines can only perform a narrowly defined set of specific tasks.

Artificial General Intelligence (AGI)

Also known as strong AI, AGI is the stage in the evolution of Artificial Intelligence in which machines will have the capacity to think and make decisions just like humans.

Artificial Superintelligence (ASI)

The concept of artificial superintelligence causes AI to evolve to be so similar to human emotions and experiences, that it not only understands them but also evokes its own emotions, needs, beliefs and desires.

Conclusion

New innovations from Google and Image Net made it possible for artificial intelligence to store data from the past and make predictions with it. This type of AI is called limited-memory AI because it can create its own limited knowledge base and use that knowledge to improve over time.