What is Artificial Intelligence?


" Artificial intelligence (AI) is the branch of computer science that deals with the creation of machines or systems capable of performing functions that would normally require human intelligence. These machines interact with the environment and behave according to the information they receive about it without any human intervention.  "            

      Every day, a large number of people are envious of the rising technology, yet few understand what it is. Artificial intelligence. You know, HAL 9000 with Marvin the Paranoid Android? Thanks to books and movies, each generation has developed their own vision of a world owned - or leased out - by robots.

We are in a great mood to wait for the flying cars that run across the streets and the robotic girls hitting our weekly dinner. But if the age of AI is here, why doesn't our lives look like Jetsons?

Well, for starters, it's a cartoon. And frankly, if you've checked out Netflix movie proposals or told Alexa to order a pizza, you may be interacting with artificial intelligence more than you see.
And that's that kind of point. AI is built so you don't see that there is a computer that calls for a gun.
But that also makes understanding what AI is, and what isn't, a little more complicated. In basic terms, AI is a broad area of   computer science that makes machines look human-like.
So not only does computer programming drive a car by listening to traffic signals, but it is also when the program also learns to show signs of road rage.

    Though shocking as it may be, this technology is not new. In fact, for the past 100 years, it has been a vision before its time. The term "artificial intelligence" was first introduced back in 1956 by Dartmouth professor John McCarthy. He has also assembled a team of computer scientists and mathematicians to see how machines can learn as a child, using trial and error to improve systematic consultation. The project proposition says they will see how to make machines

     "use language, make up minds and thoughts, solve common problems,
 improve themselves. "

    That was more than 60 years ago. Since then, AI has remained a major part of university campuses and highly secretive labs ... But that's changing. As with all steep curves, it is difficult to say if a line dropping slightly upwards will enter the sky. over the last few years, a few of the things have led to AI becoming the next "big thing":

 First, large amounts of data are generated every minute. In fact, 90% of global data has been generated in the last two years. And now thanks to advances in speed, computers can process all this information very quickly. As a result, major technology and business capitalists have bought into AI and are impacting the market with new and innovative applications. In the near future, AI will be improved, and more intelligent. Now the question is: Do you have to wrap up another Termiler movie, living on the streets of your city? Not at all. In fact, stop thinking about robots. Speaking of AI, a robot is nothing more than a shell that hides what technology is used for. That means that AI can present itself in many different ways. Let's split the options.

        you have your own bots. They are text-based and have great potential, but they have limitations. Ask the bot for the weather, and we'll tell you that on average there are 57 high clouds. But ask that same bot what time it is in india, and it will be interrupted. That's because the bot's programmer was only planning it to give you the weather by pulling on a source of some data.

      The functionality of natural languages   makes these bots extremely complex. When you ask Siri or Cortana where the nearest gas station is, actually translate your voice into text, give it a search engine, and read the answer back from what people have done. So in other words, you don't have to talk about code.

           At the end of the range is machine learning, and frankly, it's one of the most exciting areas of AI. As a human, the machine stores information and becomes intelligent over time.


 How do these machines actually learn?

        Yes, while it would be easy for a person to know the difference between a cat and a dog, the computer, not so much. You see, if you only look at the physical appearance, the difference between cats and dogs can be a little gray. You could say that cats have pointed ears and dogs have domesticated ears, but those rules are not universal. Between the length of the tail, the texture of the hair, and the color, there are many options, and that means that many boring rules someone can do by hand to help the computer see the difference.

But remember - "machine learning is about making machines read like humans. And like any little child,
that means they have to learn from experience. For machine learning, systems analyze thousands of examples to build an algorithm. Then the algorithm is based on the fact that it achieves its goal. "

Over time, the system actually becomes more efficient. This is how machines like IBM's Watson can detect cancer, compose classical symphonies, or crush Ken Jennings in Jeopardy. Other programs mimic how the human brain is programmed, complete with neural networks that help people - and now machines - solve problems.

         Generations have long considered AI authentication, with the mind-set of a society in which machines seek to retaliate and harm human society. However, the logical and pressing question is:

          How will AI affect your work?

          Will it render your work obsolete?

    Like the Industrial Revolution, it is not a machine to be compared to humanity. It's a human and machine problem for comparison. The fact is that artificial intelligence helps you accomplish a lot in a short amount of time, taking on the repetitive tasks of your job while mastering strategy and relationships.

That way, people can do what they do better… become human.