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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, Microsoft Cortana and other virtual assistants operate on limited functions.
• IBM 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.
We are currently working with Narrow AI.
Domains of AI
Artificial intelligence is one of the fastest growing fields in technology. The scope of artificial intelligence has expanded
to many industries. The subdomains of artificial intelligence are as follows:
• Machine Learning: Machine learning focuses on the use of data and
algorithms to imitate the way that humans learn, gradually improving the
machine’s accuracy.
• Neural Networks: They are a set of algorithms and techniques, modelled
on the human brain. Neural Networks are designed to solve complex and
advanced machine learning problems.
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