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8 Different Types of Artificial Intelligence (AI)?

artificial intelligence

Artificial Intelligence (AI) is a buzzword around the world. The technology was developed to train machines to think, act and act like humans. So everyone should know exactly what artificial intelligence is, how it works and its basic tools and applications. At a basic level, machines are programmed to imitate human behaviour and speak, communicate and work tirelessly like humans, but in important areas such as artificial intelligence, machine learning, deep learning and natural language processing if known (PNB). ). Apart from its applications in various fields, the article covers all the above-mentioned areas and tries to sensitize the reader about the fundamental aspects of intelligence.

There are Eight Different Types Of AI:

  1. Artificial Narrow AI
  2. Artificial General Intelligence (AGI)
  3. Artificial Super AI.
  4. Reactive Machine AI
  5. Limited Memory AI
  6. Theory of Mind AI
  7. Self-reflective AI
  8. Natural Language Processing

Artificial Narrow AI

Narrow AI, also known as weak AI, is the most popular AI we use today. It is designed to do one thing well. For example, your phone has a limited form of intelligence called Siri or Alexa. They are good at listening to you and answering your questions or playing chess so the computer can find the best move in the game. But these AI systems can only do what they are designed to do. They cannot use what they know about chess to help them with tasks such as solving math problems or flying. The narrow thing about AI is that it’s good at its specific job, but it can’t do anything else.

Artificial General Intelligence (AGI)

And artificial intelligence (AGI) or artificial intelligence is still just a concept. AGI will represent the big change from narrow intelligence. Instead of doing just one thing, AGI can learn a variety of things and use what it learns in new ways. For example, if an AGI learns to play chess, it can use that knowledge to help it in other tasks, such as planning distribution systems or diagnosing financial problems, without repeating itself. This means that computers can think and learn like humans.

Artificial Super AI

At the top of the scale of intelligence development is the concept of artificial super intelligence. This type of AI doesn’t just mimic what people think; This will make it better. Super AIs can understand emotions, have their own beliefs and make better decisions than any human. It sounds like something out of a science fiction movie, but researchers are taking a closer look. The creation of incredible intelligence will raise big questions about what intelligence is, how it can be known, and how it will change the way humans and machines interact in the future.

artificial intelligence

Reactive Machine AI

These systems are designed to perform well-defined tasks by processing data and generating results based on that data. A good example is a chess AI, which analyzes chess and makes the best decisions based on the current situation, but does not remember past games and does not use past experiences to make current decisions, its intelligence only focuses on the present, ie a . . A lot of… talk. but only in organized work. Environments where the reaction is fast and data-driven, but it is not possible to learn from the past or predict the future based on historical data.

Limited Memory AI

In contrast, AI security is of a more advanced type, where Artificial Intelligence systems can use past experiences to make current decisions and use historical AI data and new data to inform their actions. The best example is the technology used in the development of self-driving cars. These AI systems are constantly collecting and processing data from their environment, such as traffic conditions, road signs, the behavior of other vehicles, etc. and make their own decisions by combining them directly with previous information, such as learning from previous trips or driving strategies. adopted guide. Learn from past experiences. increasing their effectiveness in similar situations in the future

Theory of Mind

Theory of Mind AI works like the human mind and has a deep understanding of human emotions and thoughts. It is a great technology that mimics human behavior. This type of artificial intelligence is not perfect yet, nor is it perfect, but experts say it will be a breakthrough. Now you are getting innovation and progress. Surprisingly, he will have his opinion and explain everything.

Self-Reflective AI

Conscious Artificial Intelligence defines conscious artificial intelligence. Known as the point of singularity of artificial intelligence, conscious artificial intelligence is a step in the theory of mind and the final step in the development of artificial intelligence. It is assumed that when AI achieves self-awareness, Artificial Intelligence machines will be beyond our control, as they will not only be able to feel the emotions of others but also understand themselves.

Natural Language Processing

Natural Language Processing (NLP) refers to the science of extracting knowledge from human natural language: Twitter uses NLP to filter terrorist language in tweets, and Amazon uses NLP to further understand business to improve user responses and machine interactions and its movements.

Branches of Artificial Intelligence

There are many branches of artificial intelligence, each with a focus and set of methods. Some areas of artificial intelligence include:

Machine learning: (ML): ML, a subset of artificial intelligence, is the development of algorithms that interpret, process, and analyze data to solve various real-world problems. These programs, or algorithms, are designed to learn and improve as new information becomes available.
Deep learning: Deep learning is a branch of machine learning that uses artificial neural networks to extract information from data and solve more complex problems. Deep learning algorithms are the logic behind facial and voice recognition, virtual assistants like Alexa and Siri, self-driving cars and more.
Natural language processing (NLP): this field studies how language is understood and used by computers. NLP is used to create and enhance human language, which is useful in speech recognition, text analysis, translation, and many other applications.
Robotics: It is a branch of artificial intelligence that deals with the design and construction of robots. AI robots can be used to automate various tasks in various industries such as healthcare, manufacturing, logistics and more. They can learn from experience and work with people.
Expert systems: Expert systems are computer programs driven by artificial intelligence that mimic the judgment and decision-making skills of human experts. It is useful for many applications like financial planning, customer service, medical diagnosis, virus detection and many more.
Fuzzy Logic: Fuzzy logic is human reasoning in computers. FL is based on “degrees of truth” principles and not based on modern computer logic, ie. logical expression. This can be accomplished through hardware, software, or a combination of both.



Artificial intelligence is one of the most fascinating fields of science and is developing rapidly. Although researchers are working hard to develop General AI and Super AI, they still have a long way to go. Narrow artificial intelligence is the only type of AI that humans have developed so far, and progress has been made in the field over the past few years. It’s no secret that the future of artificial intelligence is very powerful. Earn an Executive MBA at Eton Business School with a focus on blockchain and artificial intelligence.



Blog By:- ExpertSadar

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