Artificial Intelligence does not need any formal introduction. It is not only a buzzword; in fact, it has become an important part of your everyday life. Many companies are introducing intelligent machines for the diverse use of AI. So, it is transforming the business sectors a lot. Here you will learn about 7 types of artificial intelligence and its use.
Reactive machines do not store memories; instead, they use past experiences to determine future actions. They are one of the most basic AI systems to perceive the world and respond to what it observes. They have predefined specific tasks, so they do not have any capability beyond those set tasks.
Deep Blue, a reactive machine, is IBM’s supercomputer for chess-playing. It made a breakthrough when it beat grandmaster Garry Kasparov in 1997. Deep Blue did not have any pre-applied data sets. Instead, it simply identifies the chess pieces on the board and chooses the next possible moves.
Limited memory devices have the capability of reactive machines and can learn from historical data to make correct decisions. Almost all existing applications come under this type of AI. Unfortunately, these systems have short-lived memory. They can use past data for a specific period, but they can not include it in the library.
You can use this kind of technology in image recognition systems. They have thousands of pictures and labels to recognize them. When an image gets scanned by such an AI device, it uses those sets of pictures as references to understand the image contents.
Theory of Mind
The third category of AI is the theory of mind that exists only in concepts. It is also known as internal simulation, which can understand others and put itself in someone else’s shoes. It helps you to know how people’s sentiments and emotions affect their thoughts and behaviors.
One real-world example is Sophia from Hanson Robotics. It is a robot in which a camera is present in its eyes, combined with some algorithms that allow her to see. As a result, Sophia can sustain eye contact, follow faces, and recognize individuals.
Self-aware AI deals with super-intelligent devices through their sentiments, emotions, consciousness, and beliefs. These machines are smarter than humans and can outperform them in various tasks. However, self-aware AI is still a distant reality, but companies are making efforts in this direction.
Artificial Narrow Intelligence (ANI)
This category of artificial intelligence mirrors all existing AI created to date. ANI refers to AI machines performing a specific task independently using human capabilities. These devices can do no more than their set design. Thus, they have a limited range of competencies.
These systems correspond to both reactive and limited memory AI. Even the complex AI that uses deep learning and machine learning to teach itself comes under ANI. The most common example of ANI is Apple Siri. It operates with a pre-defined set of functions. Therefore, it often has problems with operations apart from its abilities.
General AI, also known as strong AI, can learn and understand any intellectual task that a human can. It helps a machine to use skills and knowledge in different contexts. However, researchers have been unable to achieve strong AI till now. Instead, they have to determine how to make devices conscious by programming a cognitive ability set. Microsoft has invested $1 billion through OpenAI for General AI.
One of the significant attempts to achieve a strong AI is the K computer. It is one of the fastest supercomputers in the world, created by Fujitsu. It takes around 40 minutes to simulate one second of neural activity.
Artificial Super Intelligence (ASI)
Artificial Super Intelligence is a more advanced version in comparison with strong AI. It can copy the multi-faceted intelligence of humans and is better at everything. This system has a design with faster data processing and analysis, better memory, and decision-making capabilities. However, its existence is hypothetical so far.
These were 7 types of artificial intelligence and its use. Here you can see the present reality of AI and speculate on some possible future developments. In its current form, AI is a sophisticated predictive analytics engine. However, its future holds great potential.