How does Artificial intelligence work ?

Building an AI  system is a careful process of reverse engineering human traits and capabilities in a machine and using its computational prowess to surpass what we are capable of. 

To understand how artificial intelligence actually works one needs to dive deep into the various sub domains of Al and understand how those domains could be applied to the various fields of the industry. 

Machine learning 

Machine learning teaches a machine how to make decisions based on past experience. It identifies patterns and analyses past data to infer the meaning of these data points to reach a possible conclusion without having to involve human experience. This automation to reach conclusions by evaluating data saves human time for businesses and helps them make a better decision.

Deep Learning

Deep Learning is a subset  of machine learning that uses natural networking to simulate the human brain and solve complex problems. It teaches a machine to  process inputs through layers in order to classify, infer and predict the outcome.

Natural Language Processing

Natural Language Processing is the science of reading, understanding, and interpreting a language by a machine. Once a machine understands what the user intends to communicate, it responds accordingly.

Neural Networks work

Neural Networks work on similar principles to Human Neural cells. They are a series of algorithms that capture the relationship between various underlying variables and process the data as a human brain does.

Computer vision

Computer vision algorithms try to understand an image by breaking down an image and studying different parts of the object. This helps the machine classify and learn from a set of images to make a better output decision based on previous observations.