Basic

 Artificial Intelligence Tutorial: What is AI? Basics for Beginners

This AI tutorial for beginners is designed for learning the basics of Artificial Intelligence. In this Artificial Intelligence for beginners tutorial, you will learn various Artificial Intelligence basics like what is AI, history of AI, types of AI, applications of AI, and more concepts about AI.

What is AI?

AI (Artificial Intelligence) is the ability of a machine to perform cognitive functions as humans do, such as perceiving, learning, reasoning and solving problems. The benchmark for AI is the human level concerning in teams of reasoning, speech, and vision.

How does AI work, Types and Future of it?

Artificial Intelligence Definition

·        An intelligent entity created by humans.

·        Capable of performing tasks intelligently without being explicitly instructed.

·        Capable of thinking and acting rationally and humanely.

How do we measure if Artificial Intelligence is acting like a human?

Even if we reach that state where an AI can behave as a human does, how can we be sure it can continue to behave that way? We can base the human-likeness of an AI entity with the:

·        Turing Test

·        The Cognitive Modelling Approach

·        The Law of Thought Approach

·        The Rational Agent Approach

Let’s take a detailed look at how these approaches perform:

What is the Turing Test in Artificial Intelligence?

The basis of the Turing Test is that the Artificial Intelligence entity should be able to hold a conversation with a human agent. The human agent ideally should not able to conclude that they are talking to an Artificial Intelligence.

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 it’s computational prowess to surpass what we are capable of. 
To understand How Aritificial Intelligence actually works, one needs to deep dive into the various sub domains of Artificial Intelligence and and understand how those domains could be applied into the various fields of the industry. You can also take up an artificial intelligence course that will help you gain a comprehensive understanding.

·        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 ia an 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 underying variabes and processes the data as a human brain does.

·        Natural Language Processingc: 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 anaysing text/speech/images/objects in a manner that a human does and tries to give the desired output.