Right now, the most talked-about technology in the world is AI. Everyone is curious about AI, so in this article, we will try to understand what AI really is.
Before understanding the definition of Artificial Intelligence (AI), it is important to grasp the meaning of these words:
Artificial: A copy of something occurring naturally. For example, gold is naturally available and used to make jewelry, but we also create artificial jewelry from metals or other materials that look like gold but are not actually gold.
Intelligence: The ability to learn or understand something new.
Does Intelligence Exist Naturally?
Yes, the best example of natural intelligence is humans. When a baby is born, over time, they learn to walk and talk by observing their parents and environment. They begin to understand the world. This shows humans' natural ability to learn and adapt to new things from their surroundings. As they grow, they acquire various skills like swimming, cooking, and more. This natural ability to learn is known as "human intelligence," reflecting humans' capacity to learn and master new things.
Artificial Intelligence: Replicating Human Intelligence
We aim to create an artificial copy of this naturally existing human intelligence. We want to bring this ability into machines, especially computers, so that they can think like us. This is the essence of artificial intelligence: to replicate human thought processes in computers. After understating the basics idea of AI we can define AI like this:
"Artificial Intelligence (AI) is a technology that simulates human-like thinking in machines especially computers systems. "
Machines that have AI can also be called intelligent machines. For example, we can refer to self-driving cars as intelligent machines because they use cameras, sensors, and AI to navigate to their destinations on their own.
Let's take another example: AI can analyze ultrasound images of a patient and predict the chances of cancer, similar to how an experience doctor would. AI empowers machines to understand, analyze and draw conclusions. Here are some more examples of AI usage:
- text to image ai (DALL-E, Midjourney)
- Weather predictions (GraphCast, ATMO)
- Writing content (ChatGPT, Gemini)
- Playing games (Deep Blue - Chess-playing AI)
- recommendation systems (Netflix movie recommendations)
AI types bases on Functionality:
- Reactive Machines:
AI types based on Capability:
- Narrow AI: This AI can only perform task for which it has been programmed, which is why it is also referred to as weak ai. An example of this is computer vision, which can only recognize objects. Another good example is ChatGPT which can generate content based on user prompts. Narrow or weak ai cannot take independent actions without the involvement of programmers. For example, if an ai is specialized in computer vision, it will never learn new skills on its own like humans often try to learn new things.
- The terms "Artificial intelligence" was first used by John McCarthy in 1956.