Types of Artificial Intelligence - AI Types & Techniques

Artificial Intelligence (AI) is without a doubt the technology that has transformed the twenty-first century. Since AI has become a seamless part of our everyday lives, it is essential to comprehend its categories and capabilities. In order to improve your understanding, this blog will examine the many forms of artificial intelligence (AI), classifying them according to their functionalities and capabilities and providing real-world examples.

• What is Artificial Intelligence?
• Different Types of Artificial Intelligence
  • Artificial Intelligence Types—Based on Capabilities
  • Artificial Intelligence Types—Based on Functionalities
• Conclusion

What is Artificial Intelligence?

AI is a broad approach that combines several academic disciplines, including computer science, psychology, linguistics, and mathematics.

Massive amounts of data are used to create the intelligent robots in artificial intelligence. The systems improve task speed, accuracy, and effectiveness by learning from past experiences and learning to do human-like tasks. Artificial intelligence uses sophisticated algorithms and techniques to create machines that are capable of independent decision-making. Deep learning and machine learning are at the heart of artificial intelligence.

1. Industries using AI

Some sectors of business that use AI are:

• Transportation (traffic control systems, driverless cars)
• Healthcare (robotic surgery, medical diagnostics)
• Banking (automated trading, fraud detection)
• Retail (customized suggestions, inventory control)
• Entertainment (AI-generated media, suggested content)
• E-commerce (consumer insights, chatbots)

Now that we have covered what AI is, let us take a look at its different types.

Different Types of Artificial Intelligence

AI is now a part of our daily existence. For this reason, it’s critical to comprehend the many forms of artificial intelligence. Based on its capabilities and features, this can be divided into a number of types. Here are some examples of AI types:

1. Artificial Intelligence Types—Based on Capabilities

1.1. Artificial Narrow Intelligence (ANI)

• Artificial Narrow Intelligence (ANI) is a single-purpose type of AI. It is among the most widely used forms of AI nowadays.
• ANI is sometimes referred to as a weak AI since it lacks the intelligence to perform tasks beyond its bounds.
• Nonetheless, every ANI helps to develop a powerful artificial intelligence.
• Self-driving automobiles, chess-playing machines, picture and speech recognition, and e-commerce site recommendations for purchases are a few instances of artificial intelligence (ANI).

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1.2. Artificial General Intelligence (AGI)

1.3. Artificial Super Intelligence (ASI)

• A form of artificial intelligence known as ASI will enable machines to outsmart people and outperform them at any task.
• ASI, also referred to as powerful AI, is capable of reasoning, planning, thinking, communicating, learning, solving riddles, and making decisions.
• There isn’t a suitable ASI example at the moment. Nonetheless, ASI will soon become a reality because some of the top industrial players are concentrating on developing powerful AI.

2. Artificial Intelligence Types—Based on Functionalities

AI can be divided into the following four categories based on how well AI-based systems work:

• Reactive Machines
• Limited Memory
• Theory Of Mind
• Self-awareness

2.1. Reactive Machines

• The earliest and most fundamental AI system is reactive machines. They react to the current situation after concentrating solely on it.
• Reactive machines are computer systems that perceive their surroundings and respond accordingly.
• Reactive machines are unable to do activities outside their designated scope because they lack an understanding of the larger world.
• Google’s AlphaGo and IBM’s Deep Blue Systems are two instances of reactive machines.

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2.2. Limited Memory

• Machines with limited memory can make decisions by learning from past data.
• However, only a limited amount of time is available to view the data stored in the limited memory.
• Examples of limited memory machines include chatbots, self-driving cars, and virtual assistants like Siri.

Restricted memory Self-driving cars use artificial intelligence. It tracks the movement of other cars surrounding a certain vehicle both now and over time. The artificial intelligence engine then adds this gathered data to its static data, which includes lane markings and traffic signals.

Such information can assist a car in determining whether to switch lanes or prevent a collision with another car. The goal of Mitsubishi Electric has been to advance this technology for autonomous vehicles.

2.3. Theory of Mind

• The theory of mind interacts in accordance with its understanding of people, animals, emotions, and objects in the world.
• This kind of artificial intelligence is the least developed of all. However, some scholars are making an effort to create it.

Applications of AI in the real world include theory-of-mind and the robot head Kismet, which was constructed in the late 1990s by MIT researcher Dr. Cynthia Breazeal. Two significant developments in this technology are the robot head’s ability to both replicate and identify human emotions. Kismet, however, is unable to follow gazes or draw human attention.

Hanson Robotics’ Sophia serves as another illustration of the application of this kind of AI. Sophia can see thanks to cameras in her eyes that cooperate with computer algorithms.

2.4. Self-awareness

• Self-awareness is seen as the last phase in artificial intelligence development.
• Machines possess consciousness and self-awareness of their own.
• Human intelligence will be surpassed by self-aware machines.
• As of right now, there are no such devices; this is merely a theoretical idea.

Self-knowledge AI is theoretically capable of seeing human emotions and comprehending its internal conditions, characteristics, and states. This kind of AI will enable machines to have their own emotions, beliefs, and wants in addition to being able to comprehend and elicit emotions in people they interact with.

Conclusion

The impact of more advanced forms of artificial intelligence on our world is hard to predict. There is no doubt that artificial intelligence is still in its infancy and has a long way to go.

Instead than focusing on how far away we are from building self-aware machines, we should devote our attention and efforts to understanding how a computer can self-train and make decisions based on previous experiences. If you want to use AI to create solutions, taking an Artificial Intelligence Course can be beneficial.