Artificial intelligence and how it's working

The power of thinking, intellect, or the ability to analyze is innate in human beings. But the idea of ​​giving an instrument the ability to think or analyze with human-like intelligence is commonly called "artificial intelligence." Even a few days ago, artificial intelligence was a thing of the distant future. But more recently, this distant future has become part of our daily lives.

Artificial Intelligence source
The main reason is that the people of the world have become so immersed in the digital world that suddenly an unimaginable amount of data has been created, and we have got powerful computers to process that data. To process this data, scientists and technologists have chosen a method that works like the human brain. It is commonly known as the neural net. Simply put, it has an input layer and an output layer, with the middle layer being the "hidden" layer.

At first, this neural network is trained with input and associated output data. Then the 'hidden' level changes so that the true output is available for the input given for training. Once trained, it will be able to give the most likely correct output for new input to this neural network.

The more data is trained, the better the neural net will work. It is possible to make this net much more intelligent with multiple layers by leaving the hidden layer. Then the net itself will be able to learn using data. This process is called 'Deep Learning' and can be said to be one of the closest processes to true artificial intelligence.

Programming languages ​​like C / C +, Java, MATLAB, Python, SHRDLU, PROLOG, LISP, CLISP, flutter, etc. are mainly used for the application of artificial intelligence. Developers use their preferred programs based on functionality and requirements.