Dear Wisam Mohammed Abed Alqaraghuli ,

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. In other words, traditional machine learning models need human intervention to process new information and perform any new task that falls outside their initial training. For example, Apple made Siri a feature of its iOS in 2011. This early version of Siri was trained to understand a set of highly specific statements and requests. Human intervention was required to expand Siri’s knowledge base and functionality.

https://www.ibm.com/blog/understanding-the-different-types-of-artificial-intelligence/

Regards,

Shafagat

AI, or Artificial Intelligence, refers to the simulation of human intelligence processes by machines, especially computer systems. AI enables computers and machines to perform tasks that would otherwise require human intelligence or intervention, such as digital assistants, GPS guidance, autonomous vehicles, and generative AI tools.

It is a broad field that encompasses various disciplines, including computer science, data analytics and statistics, hardware and software engineering, linguistics, neuroscience, and even philosophy and psychology. and has formed its area in industry, government, and science, with applications ranging from advanced web search engines and recommendation systems to autonomous vehicles and superhuman play in strategy games.

This AI, comes in various forms, each with its own unique capabilities and potential. At the forefront of AI classification is Narrow AI, also known as Weak AI, which excels at specific tasks like voice assistants and self-driving cars. These AI systems are adept at their designated functions but lack the broader cognitive abilities of human intelligence.

In contrast, General AI, often referred to as Strong AI, represents the pinnacle of AI development, mirroring human-like intelligence across a range of tasks. While General AI remains a futuristic aspiration, its potential to revolutionize industries and society is immense.

Delving deeper, Super-intelligent AI transcends human cognitive limits, capable of outperforming humans in virtually every domain. This concept sparks both excitement and caution, as the implications of such advanced AI are profound and far-reaching.

Within the realm of AI functionality, Reactive AI operates in the present moment, responding to immediate stimuli without memory of past interactions.

Limited Memory AI, on the other hand, retains short-term data to enhance decision-making, seen in applications like autonomous vehicles and personalized recommendations.

Venturing into more complex territory, Theory of Mind AI demonstrates an understanding of emotions, beliefs, and intentions, enabling nuanced interactions with humans and other AI entities.

Finally, Self-Aware AI represents the pinnacle of AI consciousness, possessing self-awareness and introspective capabilities.

As AI continues to evolve and shape our world, understanding these diverse types of AI provides insight into the current landscape and the exciting possibilities that lie ahead.

The classification can be done on different basis.

It could be on the basis of learning method. They can be supervised and unsupervised.

They could be on the basis of type of problem. There could be classification, pattern recognition, optimization, function approximation, prediction, etc.

There could be numerous others basis as well. On the other hand, there are countless techniques and variations available under Artificial Intelligence domain which are being further developed as we read this.

Artificial intelligence (AI) can be categorized into several types based on its capabilities, functions, and goals. Here are some common types of AI:

These types of AI represent different levels of sophistication and capabilities, ranging from specialized narrow AI systems to the theoretical concept of artificial general intelligence.