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Overview

AI, Machine Learning, Deep Learning, and Neural Networks — EITC

AI definition: a broad area of computer science that makes machines seem like they have human intelligence.

• AI is about creating intelligent machines that can learn, adapt, and act autonomously to solve problems and achieve goals

Stages of AI - PwC

http://www.eitc.org/research-opportunities/new-media-and-new-digital-economy/ai-machine-learning-deep-learning-and-neural-networks/ai-research-and-applications/stages-and-categorizations-of-ai

Stages and categorization of AI

Two of the main categorizations of AI are capability and functionality.

AI has three types on the criteria of capability: Artificial Narrow Intelligence (Narrow AI), Artificial General Intelligence (General AI), and Artificial Super Intelligence (Super AI).

There are four types of AI on the basis of functionality: Reactive Machines, Limited Memory, Theory of Mind, and Self-awareness.

Types/Stages of AI - Based on Capabilities

categorized according to their ability to mimic human traits, the techniques they use to do so, their real-world applications, and theory of mind

1. Narrow Artificial intelligence (ANI), with a narrow range of capabilities
   1. aka Week AI
2. Artificial General Intelligence (AGI) comparable to human capabilities
   1. aka Strong AI
3. Artificial Super Intelligence (ASI), more capable than humans
   1. a futuristic concept and idea

Types of AI - based on Functionalities