What are the four types of AI?

In today's world, Artificial Intelligence (AI) is ubiquitous and has gained enormous significance. From automating processes to creating autonomous systems and robots, AI is everywhere. But did you know that there are 4 different types of AI? In this article, we will take a closer look at these four types of AI and find out how they differ.

Reactive AI
The reactive AI is the simplest type of AI developed. It can make decisions based on the inputs it receives. However, it has no memory or understanding of how its decisions can affect the future. Reactive AI is most commonly found in applications such as games and robotics that require quick decisions.

Limited Memory AI
Limited memory AI goes one step further than reactive AI and has some memory. This type of AI can access previous information and make decisions based on those memories. However, the decision-making ability of this AI is limited to a specific area or specific data.

Self-learning AI
This type of AI is capable of learning from experience and improving its decisions and abilities based on that experience. Self-learning AI uses algorithms and deep learning models to recognize and analyze patterns in large amounts of data. In this way, it can make decisions based on probabilistic models. Computers specialized in natural language processing or image recognition are good examples of self-learning AI.

Autonomous AI
Autonomous AI can make decisions independently of human influence. This type of AI is capable of performing both physical and intellectual tasks and interacting with the environment. An example of autonomous AI is the self-driving autopilot in airplanes.

Overall, there are many applications of AI in our world. Of the four types of AI, self-learning AI is currently the most advanced and has the potential to revolutionize most areas of our lives. However, we can also expect that in the future, more types of AI will be developed that can perform even more complex and demanding tasks.