Everything You Have Ever Wanted to Know About Artificial Intelligence

117 Views Updated: 31 Dec 2018
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Everything You Have Ever Wanted to Know About Artificial Intelligence

As technology is evolving day by day, the more you will hear about artificial intelligence. Many websites, applications or productivity tools are attributing their success to the AI system. The term ‘artificial intelligence’ itself explains everything and what it has in store for human life. It seems to replicate what human beings can do. Planning, learning, problem-solving, reasoning, these are a few things AI system can do just like the human brain. Thus, it is no wonder why so many companies are running after evolving and upgrading their AI systems.

 The topic of artificial intelligence is a very complex topic and more so because it is constantly evolving. But you don’t have to feel confused or anxious as when it comes grasping the basic knowledge of the matter, it is pretty simple. So, here is everything that you have ever wanted to know and also should know in order to understand the basic of ‘Artificial Intelligence’.

AI is a Technology that Seems to Have a Brain

The most basic thing you should know about AI is that it is a technology. However, it is not just any other technology; it is a technology that can think. Confused? Actually, it is designed in a way that it can replicate human operations. The AI system of today needs to evolve more in order to work in that proposed manner. Many software that uses AI is constantly striving to make the user’s experience like he or she is interacting with a human rather than a programmed machine.

Though AI is yet to become perfect, it is constantly evolving. Just like the humans learn and adapt according to the situations, AI is doing the same which are gathering information, processing it, and then storing it for future use. It is the same way a human brain learns. For example, kids learn that playing with sharp edges will lead to injury when they have experienced it, they never play with anything like that again. This is exactly how artificial intelligence is also evolving day by day.

How a Machine Derives Intelligence

There are four stages in which a machine gathers knowledge. You can look at it as a concentric circle where you get four circles.

1. AI- Artificial Intelligence

2. ML- Machine Learning

3. DL- Deep Leaning

4. NN- Neutral Network

The fourth and the center of that circle is Neutral Network or NN. Every other circle depends on this one. On the outside of that fourth circle is the Deep Leaning or DL which is the third circle. Outside of that circle is the Machine Learning or ML. And the largest and the outermost circle is called the Artificial Intelligence or AI. Through Neutral Networks, scientists and mathematicians are trying to replicate what human brains can do.

It’s Just the Beginning of a Long Journey for AI

The Neutral Network is evolving without a shadow of a doubt. Still, it has a long journey to make and that is what affects other pieces of this artificial intelligence system. The Deep Leaning and Machine Learning, both are dependent on this one. Thus, it is also hampering the progression of the Artificial Intelligence. Today, AI assistants like Apple’s Siri and Amazon’s Alexa can answer some basic questions and Amy can schedule your appointments and meetings. However, they can only do what is already programmed in them.

Artificial Narrow Intelligence (ANI)

 The AI assistants you use right now is called ‘Weak AI’. Also, it is referred to as Artificial Narrow Intelligence (ANI) because it can do only a single task without being self-aware. Sometimes it can replicate human actions such as Apple’s Siri or Amazon’s Alexa which can talk like humans. Nonetheless, it has a very limited ability to actually think like humans.

The development of Artificial Intelligence could be a worry for human beings as well because only the 30% ability of the human brains is known. What is the full potential of the human brains? What would be the consequences of machine surpassing human brains? Will the machines be taking control of the world in near future? These are some of the questions that need serious attention.

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