Introduction to Artificial Intelligence
One of the most important things to understand about artificial intelligence is that there are different types of AI. The two main categories of AI are narrow or weak AI, and general or strong AI.
Narrow AI is designed to perform a specific task, such as recognizing images or playing chess. It is designed to perform a single function and cannot perform any other task outside of its narrow focus.
General AI, on the other hand, is designed to be more like a human brain. It can perform any intellectual task that a human can, and can learn and adapt to new situations. This type of AI is still largely theoretical and has not yet been achieved.
Another type of AI is hybrid AI, which combines elements of both narrow and general AI. For example, a self-driving car uses narrow AI to recognize objects and navigate the road, but also uses general AI to make decisions based on its surroundings.
Finally, there is also a division between rule-based AI and machine learning AI. Rule-based AI operates by following a set of pre-determined rules in order to make decisions, while machine learning AI uses algorithms that enable it to learn and improve over time. Examples of rule-based AI include expert systems, while machine learning AI includes neural networks and deep learning algorithms.
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