Artificial Intelligence

, , Leave a comment

Artificial Intelligence

Artificial Intelligence is the process of building intelligent machines from vast volumes of data. Systems learn from past learning and experiences and perform human-like tasks. It enhances the speed, precision, and effectiveness of human efforts. AI uses complex algorithms and methods to build machines that can make decisions on their own

Types Of Artificial Intelligence

AI is now being used in almost every sector of business:

  • Transportation
  • Healthcare
  • Banking
  • Retail
  • Entertainment
  • E-Commerce

Now that you know what AI really is, let’s look at what are the different types of artificial intelligence?

Types of Artificial Intelligence

Artificial Intelligence can be divided based on capabilities and functionalities.

There are three types of AI-based on capabilities –

  • Narrow AI
  • General AI
  • Super AI

Under functionalities, we have four types of AI –

  • Reactive Machines
  • Limited Theory
  • Theory of Mind
  • Self-awarenesTypes of AIArtificial Intelligence Based on Capabilities

  • What is Narrow AI

  • Narrow AI, also called as Weak AI, focuses on one narrow task and cannot perform beyond its limitations. It targets a single subset of cognitive abilities and advances in that spectrum. Narrow AI applications are becoming increasingly common in our day-to-day lives as machine learning and deep learningTypes Of Artificial IntelligenceWhat is General AI

  • General AI, also known as strong AI, can understand and learn any intellectual task that a human being can. It allows a machine to apply knowledge and skills in different contexts. AI researchers have not been able to achieve strong AI so far. They would need to find a method to make machines conscious, programming a full cognitive ability set. General AI has received a $1 billion investment from Microsoft through OpenAI.
  • Types Of Artificial Intelligence
  • What is a Super AI

  • Machine learning enables software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. 
 

Leave a Reply