What is Artificial Intelligence (AI)?
The intelligence demonstrated by machines is known as Artificial Intelligence. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human like tasks.
A layman with a fleeting understanding of technology would link it to robots. They would say Artificial Intelligence is a terminator like figure that can act and think on its own.
If you ask about artificial intelligence to an AI researcher, he would say that it’s a set of algorithms that can produce results without having to be explicitly instructed to do so. And they would all be right.
So to summarize, Artificial Intelligence meaning is:
An intelligent entity created by Humans
Capable of performing tasks intelligently without being expilicity instructed
Capable of thinking and acting rationally and humanly
How Artificial Intelligence (AI) Works?
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 deep dive into the various sub-domains of Artificial Intelligence and understand how those domains could be applied to the various fields of the industry.
Machine Learning: ML teaches a machine how to make inferences and decisions based on past experience. It identifies patterns, 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 a human time for businesses and helps them make a better decision.
Deep Learning: Deep Learning is a ML technique. It teaches a machine to process inputs through layers in order to classify, infer and predict the outcome.
Neural Networks: Neural Networks work on the similar principles as of Human Neural cells. They are a series of algorithms that captures the relationship between various underlying variables and processes the data as a human brain does.
Natural Language Processing (NLP): NLP is a science of reading, understanding, interpreting a language by a machine. Once a machine understands what the user intends to communicate, it responds accordingly.
Computer Vision: Computer vision algorithms tries to understand an image by breaking down an image and studying different parts of the objects. This helps the machine classify and learn from a set of images, to make a better output decision based on previous observations.
Cognitive Computing: Cognitive computing algorithms try to mimic a human brain by analyzing text/speech/images/objects in a manner that a human does and tries to give the desired output.
