Artificial Intelligence can be characterized as the improvement of PC frameworks that are fit for performing errands that require human knowledge, for example, dynamic, object discovery, tackling complex issues, etc.

Presently how about we comprehend the various stages or the kinds of learning in Artificial Intelligence.

Artificial Narrow Intelligence
Artificial General Intelligence
Artificial Super Intelligence

Artificial Narrow Intelligence- It is also known as Weak AI, ANI is the phase of Artificial Intelligence including machines that can perform just a barely characterized set of explicit assignments. At this stage, the machine doesn't have any reasoning capacity, it simply plays out a bunch of pre-characterized capacities.

Artificial General Intelligence- Also called Strong AI, AGI is the stage in the advancement of Artificial Intelligence wherein machines will have the capacity to think and settle on choices very much like us people.

There are presently no current instances of Strong AI, in any case, it is accepted that we can before long make machines that are pretty much as keen as people.

Artificial Super Intelligence- ASI is the phase of Artificial Intelligence when the capacity of PCs will outperform people. ASI is right now a theoretical circumstance as portrayed in films and sci-fi books, where machines have assumed control over the world.