Today, we look at the basics of artificial intelligence, which permeates almost every aspect of our lives. This article will explore the main concepts revolving around artificial intelligence and the answers to frequently asked questions without getting into technical complexities as much as possible.


Copyright: – “The Basics of AI for Beginners”


What is Artificial Intelligence?

Artificial intelligence (AI) is a field of computer science that focuses on developing smart machines capable of accomplishing tasks that require human intellect.

Most people immediately think of Artificial General Intelligence (AGI) when they hear about AI. It can perform anything that a human being can, but it does so far superior. However, the fact is that we are nowhere near to creating one. AI currently exists as Artificial Narrow Intelligence (ANI), which is very specialized. You can teach it a few things, and it will perfect them. However, give it another assignment, and it will ruin the job horribly.

Types of AI: Narrow, General and Super AI Explained

When we talk about the basics of AI, we first need to look at the types that are in use and in still in theory. AI applications are generally divided into three categories based on their ability to accomplish activities. These sorts differ and represent a natural progression for AI systems today.

Narrow Artificial Intelligence: Reliable Machines on Missions

Narrow AI is the most common type of AI today. Narrow AI is sweeping the world, from mobile phone apps to the Internet to big data analytics. The term originates from the fact that these artificial intelligence systems are designed for a specific purpose. They are also known as “weak” AI due to their restricted approach and inability to complete tasks other than those assigned to them. In conjunction with their limited capacity, this narrow focus makes them ‘weak’ AI.

Narrow AI is generally restricted in scope since it addresses a specific issue. Its architecture and operation are intended to guarantee that a task is completed, with its focus reflected in its design and functioning. Because of these limitations, narrow AI has laser-sharp attention to the specific goals for which it was designed.[…]

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