Category: Artificial Intelligence (Ai)

At the core of it, Artificial Intelligence is nothing but algorithms with certain sets of rules. AI systems have the ability to learn from the iteration of tasks where the computer data (aka machine learning algorithms) are fed to the system. This is exactly how, machine learning can actually get better at doing their specified tasks, without any external interference. 
Different Types of Artificial Intelligence

Artificial Intelligence can be further classified based on its complexity to replicate human intelligence. These characteristics refer to their real-world usage, along with the technology involved. This breaks down AI into real and hypothetical systems. The Different types of AI are as follows: 
Artificial Narrow Intelligence (ANI)

Artificial Narrow Intelligence (ANI) also commonly known as Narrow AI or Weak AI is the only realistic AI human has achieved so far. This particular approach towards AI is goal-oriented and can perform only designated tasks. Some of the examples of Narrow AI include face recognition, voice assistant, and everything similar that can perform only specified tasks. 

From the outside, these machines might seem intelligent, but their operation is always under certain constraints and bounding. This is only of the primary reasons, they are termed as Weak AI. Instead of replicating human intelligence, Narrow AI is best suited for simulation with constrained parameters.