What are the main types of AI?
Muninder Adavelli, Chief Content Strategist,Techjury.net
Artificial intelligence is one of the most talked about topics in both the United States and around the world. New breakthroughs are frequently revealed and people in industry and higher education are eager to learn more about this technological achievement.
However, when AI is mentioned, most people instantly think about sentient humanoid robots that will take over the world. Not many people realize that this is just one type on artificial intelligence. There are others.
According to our informative infographic, href=https://techjury.net/stats-about/ai, there are two types of artificial intelligence: weak AI and strong AI.
Weak AI, also known as narrow AI, is an intelligent system that is trained to perform one task. Examples of narrow AI are virtual assistants such as Siri or Cortana. They assist with certain tasks and answer specific questions.
Strong AI is defined as a generalized intelligent system that has human-like cognitive capabilities. When strong AI is presented with a new problem, it should be able to find a solution even though it has never encountered such a problem before.
Other ways of classifying artificial intelligence are as reactive machines, limited memory, theory of mind, and self-awareness.
Reactive machines are AI that can observe a situation and make decisions based on the input it receives. Deep Blue, the AI that plays chess, is one example.
Limited memory AI such as autonomous vehicles, are able to remember previous experiences and make future decisions based on them.
Theory of mind is the ability of AI to understand that each individual has their own feelings, belief and desires. Unfortunately, this AI still does not exist.
Artificial awareness with self-awareness also does not exist. In theory it is able to understand its current state and view itself as an individual.
I have often written about the importance of artificial intelligence is the recruitment, admission and retention processes. The more we understand about AI and its potential applications in higher education administration, the more effectively we will be able to manage the future.
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