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AI types

Published May 3, 2022

AI types

“The coming era of Artificial Intelligence will not be the era of war, but be the era of deep compassion, non-violence, and love.” -Amit Ray

 

Artificial Intelligence took off the spot for the past years, with its several branching’s like Robotics, Machine Learning, Neural Network and many more.

In the first place, according to majority, Artificial Intelligence is a branch of computer science that projects to replicate human intelligence in a machine so that machines can mimic human behavior.

Artificial intelligence can be easily classified into three primarily categories:

A. Artificial Narrow Intelligence or ANI, that has a narrow range of abilities;

B.  Artificial General Intelligence or AGI, that has capabilities as in humans;

C. Artificial Superintelligence or ASI, that has capability more than that of humans.



ANI is considered the simplest category of them, it only focuses on developing an algorithm that does a single and task, and the data gained from that task is not applied to other tasks.

The term "weak AI" refers to the fact that, while the machines appear intelligent, they operate within a limited set of limits and limitations. Narrow AI does not attempt to mimic human intelligence; rather, it simulates human behavior based on a limited set of circumstances, parameters, and factors.

 

Narrow AI uses NLP to do tasks, which means it understands natural language text and speech and is trained to communicate with humans in a personalized way.

 

Google's Rankbrain, manufacturing and drone robots, IBM's Watson, Apple's Siri, Amazon's Alexa, Microsoft's Cortana, and other virtual assistants are instances of limited AI. It also includes tools for disease mapping and prediction, image/facial recognition software, and suggestions based on what you listen to, watch, or buy.

 

 

AGI, also known as Strong AI/Deep AI, is a machine with general intelligence that can replicate human behavior or intelligence and is capable of learning and applying that knowledge to solve any problem. In each given context, AGI is capable of thinking, understanding, and acting in the same way that humans do.

AI researchers and scientists have yet to develop AGI. To achieve AGI, they must program the machine with all cognitive capacities. Machines must be able to take experiential learning to new heights, and in addition to increasing efficiency in certain jobs, they must also be able to apply knowledge to a broader range of situations.

The theory of mind AI framework is used by strong AI. It's the ability to predict other intelligent entities' wants, beliefs, emotions, and mental processes. It focuses on actually understanding humans rather than simulation or reproduction.

Strong AI is demonstrated by Fujitsu's K supercomputer, which is one of the most notable attempts at achieving strong AI. However, due to certain discouraging circumstances, it is difficult to predict that strong AI can be realized in the near future.

 

 Apart from understanding human behavior, Artificial Superintelligence is the field of AI in which machines surpass human intellect and become self-aware.

 

ASI is a notion that encompasses evoking its own emotions, needs, beliefs, and impulses. Apart from mimicking human intelligence, ASI is expected to outperform humans in fields such as math, athletics, science, medicine, art, hobbies, emotional connections, and just about everything. If such super intelligent machines exist, they will have an influence on humans, our survival, and our way of life.

To conclude, the many ways that AI can interfere our lives is countless, AI is the future that beholds upon the capabilities of human, and will make our life easier.

Tags: AI

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Nancy


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