Artificial Intelligence for Amateurs – Research Snipers

Artificial Intelligence for Amateurs

Artificial Intelligence

Today when you’re reading tech news online, you’d get one or more news on Artificial Intelligence (AI). And it’s no more a new term. But, for those of you who are uncertain about this term, let’s get to its definition.

AI Definition from the Founding Fathers

Although, the term Artificial Intelligence has been around for long. But a more precise explanation was first coined by John McCarthy in 1956 at the Dartmouth Conference: The Founding Fathers of AI.

“Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to stimulate it. An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.”

In easy terms, an AI is a system that will use all its intelligence to do whatever humans do with their natural-born intelligence.

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Example of Artificial Intelligence

Now for many, this seems impossible. But if you look around, you’d find a number of machines or systems using their self-learning capacities to do what a human can do.

Take an example of chess installed on your PC. Have you ever thought how smartly your PC plays as your opponent? Scientists have developed a system where this computer chess player learns from players’ moves and then use them against you. If you’re an amateur, your PC will go easy on you considering you’re a juvenile player. But when you switch to an expert’s mode, your PC automatically switch itself to a master’s level.

How Does AI Work?

As a machine, AI doesn’t work on its own. It needs a human mind to be created and start its operations. However, once it has what it to be an intelligent mind, it’d work as a fully functional AI.

Of the many features of an AI, few of them are described below:

  • Logic – A machine which learns from its environment and reacts/responds according to its wise decisions.
  • Recognition – A machine capable of recognizing various patterns of voice and visuals.
  • Common Sense – A machine which response/reacts according to its intuitions. – A machine which response/reacts according to its intuitions.
  • Planning – A machine which generates a strategy from the facts it learns from its environment.
  • Heuristics – A machine capable of discovering.

These are few of the features of an AI and much has been done in few of these features. But, there is a lot yet to be discovered.

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Real Life Examples of AI

Like said earlier, much has been done in AI and what has been done so far now is not put into use. Below are few of the examples of AI from our daily life:

  • Self-driving Cars – Have you heard of Google’s driverless cars? This car uses; laser sensors, radar sensors, voice cameras, GPS, and ultrasonic sensors. All of these work at their best to help the car reach its destiny without interruptions.
  • IBM Watson – This AI machine can answer your questions asked in your natural language after being analyzed. This system is not as same as a ’Google search’.
  • Skype Translator – This new feature recognizes your voice and translates it into the language of choice.

Apart from these three, there are tons of AI examples you’d find. But none of them has been using the full concept of AI, till now.

The Future of Humans

Where man has ever been working to make their lives easier, it might sound as if AI could replace humans. Tons of movies have been made where a man-made technology tries to defy the God-made technology.

Whatever the future be, AI has yet to be rolled out to its fullest. And it’s going to evolve.

But the question here rises – To what extent would AI evolve and what’d be the future of mankind?

Cover Image: Pixaby

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