Four Main Areas of Artificial Intelligence

These days, machines understand many commands such as playing games, verifying pictures, and even driving cars better than we do. The days are near that they will be walking among us!

In 2022, we can declassify Artificial Intelligence into four types. These types are closely related to Maslov's hierarchy, where even the most superficial level requires basics and the most advanced need self-awareness, all-knowing and all-seeing.

The Four Main Areas of AI

1. Reactive Machines
2. Limited Memory
3. Theory of Mind
4. Self Aware

We have passed the first type and are actively improvising the second. At this moment, the rest is only in theory.

Let's take a look at the types of AI:

1. Reactive Machines

This is the first stage of AI because machine learning takes a human face as input and, in the output box, identifies a simple human look. The model stores no inputs/output. It doesn’t learn anything.

It just performs the essential information. This level of AI is most superficial.

Another type of reactive machine is a static machine learning model; its architecture is simple and used in developer tool kits.

2. Limited Memory

The limited theory is an AI's ability to store current info and make predictions. With little memory, machine learning architecture becomes slightly complex.

Every machine learning model can be manufactured, but most models will be deployed as reactive machine types.

Here are three kinds of ML models that can only achieve limited memory,

a) Reinforcement Learning

b) Long Short Term Memory

c) Evolutionary Generative Adversarial Networks

3. Theory of Mind

We are still on the pathway to reaching the theory of mind. Machine learning models are still in the beginning phase and can be in things like driving cars.?

There are a few examples where AI can interact with the thoughts of humans, for example, Alexa and Siri, but not emotion.

For example, if you yell at google maps to take another direction, it doesn't provide emotional support. It will just reply that this is the fastest direction.

Fields of tackling the issue of artificial emotional intelligence and development are still being developed.

Recently on emotional development, Ion Stoica and Michael Jordan researched the Future of ML and AI and presented it at the ICLR 2020 conference.

4. Self Aware

In the coming future, perhaps AI will achieve its nirvana. It ultimately becomes self-aware. This type of AI exists only in stories and fictional movies.?

The future machines might be intelligent beyond humans, and people will have to negotiate with the entity.

What do you think will happen, good or bad?

Any Guesses!

Take a Look: Top 7 Emerging Technology Trends In 2022

Final Thoughts

You might have come to know AI is a vital software tool for the future. Hence, note that AI eliminates all the repetitive tasks in the workforce and elevates humans to reach higher levels by slowly changing their creativity.

By: Ananth