The Evolution From Artificial Intelligence to Machine Learning to Data Science

By the end of this article, you should be able to distinguish between these concepts.

 

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Recent years have seen many breakthroughs and discoveries in artificial intelligence (AI), machine learning (ML), and data science. These fields intersect so much that they have become synonymous. Unfortunately, it has caused some ambiguity.

This guide aims to clarify the confusion by defining the terms and explaining how they are applied to business and science. We won’t cover them in-depth; however, by the end of this article, you should be able to distinguish between these concepts.

Defining Artificial Intelligence

As a field, AI centers around creating flexible automated systems. The ultimate goal of AI is to build systems that can function intelligently and independently much as human beings can. As such, AI must be able to mimic some of the senses that human beings have.

They must at least be able to hear, see, and sometimes sense touch and smell. The AI must then be able to interpret stimuli received through these senses and respond accordingly. Thus, different fields and branches under the AI umbrella are dedicated to giving machines and systems these abilities.

Major Branches of AI

The major branches of AI are:

• Machine Learning (ML)
• Deep Learning (DL)
• Natural Language Processing (NLP)
• Fuzzy Logic
• Expert Systems
• Neural Networks

These concepts aren’t separate fields from artificial intelligence but make modern and future implementations of AI possible.

Stages of AI

The three phases/stages of AI are as follows:

• Artificial Narrow Intelligence (ANI) is the current stage of artificial intelligence. It’s also known as weak AI and describes systems of AI that can perform a limited set of defined tasks.
• Artificial General Intelligence (AGI): We’re slowly approaching this stage, also known as strong AI. It describes AI as capable of reasoning just as well as human beings. Some academics feel that the AGI label should be limited to sentient AI.
• Artificial Super Intelligence (ASI): This is a hypothetical stage of AI where the intelligence and capabilities of computers surpass those of human beings. For now, ASI does not exist outside of the realms of science fiction.[…]

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Der Beitrag The Evolution From Artificial Intelligence to Machine Learning to Data Science erschien zuerst auf SwissCognitive, World-Leading AI Network.

Source: SwissCognitive