Weak AI vs Strong AI

Weak AI vs Strong AI: Exploring Key Differences and Future Potential of AI

 What is Weak AI?

Did you know that the clever chess-playing computer, Deep Blue, and Siri, the helpful voice assistant on your phone, are both examples of Weak AI? They may be impressive, but they’re designed for specific tasks and can’t handle anything outside their programming.

Weak AI, often known as narrow AI, is a category of artificial intelligence confined to a singular or limited domain. Weak AI mimics human thought processes. By performing time-consuming operations and conducting data analysis through methods that people can’t always use, this technology can be advantageous to society.

It concentrates on tasks such as responding to user input searches or playing games. Human intervention depends on specifying the learning algorithm’s parameters and supplying the appropriate training data to assure correctness.

It cannot break the rules; it just adheres to them and is constrained by them. Weak AI helps convert enormous amounts of data into useful information by identifying patterns and generating predictions.

What is Strong AI?

Strong AI, also known as artificial general intelligence (AGI) or deep AI, is a computer system with a comprehensive intellect capable of learning and employing its intellectual ability to solve any problem.

It can understand, work and have a thought process different from humans in certain situations. Strong AI uses an understanding of mind AI framework to understand the goals, motivations, standards, and cognitive processes that govern other intelligent beings. 

Although it is in its early years, when it comes to weak AI vs strong AI, strong AI contends a lot of potential because of recent developments in nanotechnology. It is also a possible application for creating an artificial neural network that can function similarly to a human being.