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Artificial Narrow Intelligence
Artificial Narrow Intelligence (ANI) has a limited/narrow range of abilities. It is most dedicated to
performing only one task. It is also called Weak AI or Narrow AI as it operates under limited capabilities.
It is goal oriented and focussed to do a single task. Consider Siri—virtual assistant on an iPhone—it
uses speech and language recognition techniques to set an alarm or send an SMS to a contact on your
phone. Narrow AI uses Natural Language Processing (NLP) to perform. Examples of Weak AI or Narrow
AI are as follows:
Image/facial recognition software
Apple Siri, Amazon Alexa, Meta AI and other virtual assistants operate on limited functions.
IBM’s Watson
Vision recognition of self-driving cars
Recommendations of e-commerce sites
Artificial General Intelligence
Artificial General Intelligence (AGI) has intelligence as par with human beings. Its performance is just
like humans. It is called Strong AI or Deep AI. The machine can mimic human behaviour with the ability
to learn and solve problems. AGI can think, learn and decide in a similar manner as humans would do
in a situation. Till now Strong AI is a theory, researchers and scientists have not achieved it. Machines
will have to go through experiential learning where not only the human intelligence is to be replicated,
emotions, beliefs and other thought processes need to be simulated. It needs to train machines to
think like humans.
Artificial Super Intelligence
Artificial Super Intelligence (ASI) has intelligence more than human beings. It can do tasks beyond
human capabilities. It is a hypothetical idea of an AI where machines become self-aware and surpass
human intelligence and abilities. A super AI will be capable of thinking, analyse, perform, plan, decide,
learn, and communicate on its own. The potential of such powerful machines is very appealing, but it
may have its own multiple consequences.
DOMAINS OF AI
The domains of AI refer to the primary areas or branches where AI is applied to mimic or augment
human intelligence. Each domain is dedicated to a specific kind of task that the human brain performs,
such as language recognition, reasoning, learning, pattern recognition or understanding images.
Each domain has its own importance, and it is essential to understand them, as they help us see where
and how AI is applied in real life. Every domain focuses on a specialised area, such as speech recognition,
pattern recognition, human communication or visual information processing. Each of these domains
is unique and is shaping the future of technology. Their applications span various industries, driving
innovation and improving efficiency. As AI continues to evolve, the potential for these domains to
further transform our daily lives is immense, paving the way for more innovative solutions to complex
challenges. Mainly, there are three domains of AI.
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