AI and Machine Learning – What is the difference?

People benefit from AI every day, right from Google Maps to Uber and even some delivery apps are all powered with artificial intelligence. However, there is significant confusion between the terms of artificial intelligence and machine learning, and most people wonder if they are the same thing. So, let’s clear it up, artificial intelligence (AI) and machine learning (ML) are two completely different things.

Artificial intelligence is a science and a way to build intelligent programs and machines that can creatively find solutions to problems that people cannot. Machine learning is a part of AI and provides an opportunity to automatically learn and improve from this kind of experience without being explicitly programmed. It consists of several algorithms that help to solve problems.

AI is divided into three categories:

Narrow or weak AI-

Narrow or weak AI can be explained by contrasting it against strong AI. Strong AI seeks to create artificial machines that have all the mental powers we have including a phenomenal consciousness. On the other hand, narrow AI seeks to create information-processing machines that have the complete mental ability of individuals.

General AI

General artificial intelligence training program can help in the future when machines become human-like. They will be able to make decisions, learn without human input, solve logical tasks, and have emotions.

Super Intelligence AI

This type of AI is way ahead of humans. It is smart, wise, and creative with excellent social skills. Its goal is to either make people’s lives better or destroy them all.

Read More at (Original Source): scottmcadams.org