Artificial intelligence is a concept which provides an ability to a computer to perform complex tasks which require human intelligence like for example decision-making learning from mistakes, discovering proofs of complex mathematical theorems, speech recognition etc. Once just imagine the day when the robot can perform all the tasks which require human intelligence. Successfully on its own with 100% accuracy then that day will be one hell of the scariest day. Humanity has ever seen.
Majority of people think that AI is a new concept, but guess what it was actually introduced back in 1956 by Professor John McCarthy with an idea of making computers to solve complex problems of human beings with formal reasoning and from there Research started to evolve and it reached the point where now it is used in our day-to-day lives in many ways and some of the examples include understanding human speech. Well ever wonder how Siri, Alexa and Google assistant work? Well AI is helping them to understand your speech.
AI is powering several car companies to make self-driving cars. Obviously, you guessed it is the best example. You guessed it Tesla Motors AI is also capable of playing some logical games like chess and go with hundred percent accuracy. Which means no human player can defeat AI ever no matter how hard you try even if you spend your entire life. To master the game it is impossible to defeat artificial intelligence. Well, it is very difficult to explain the entire concept of AI to a normal person. But I’ll try to break it down in the simplest way possible.
Let’s say for example a task is assigned to AI.
Turn it first. It will analyze the given input with the help of neural network, so what is the neural network? Well, this neural network works like a human brain and this network consists of the bunch of nodes where each processing node has its own small sphere of knowledge including what it has seen and the some of the rules which are programmed by human or developed by AI itself. The tires are highly interconnected, which means each node entire ‘n’ will be connected to many other essential nodes, which provides input for those nodes.
Typically in the neural network is initially trained or fed a large amount of data. Training consists of providing input and telling the network what the output should be and that is how it will learn new things on its own by rectifying its own mistakes.