Difference between AI and Soft Computing

Artificial Intelligence:

AI manages more comprehensive issues of automating a system. This computerization should be possible by utilizing any field such as image processing, cognitive science, neural systems, machine learning etc. AI manages the making of machines, frameworks and different gadgets savvy by enabling them to think and do errands as all people generally do.

Soft Computing:

Soft Computing could be a computing model evolved to resolve the non-linear issues that involve unsure, imprecise and approximate solutions of a tangle. These sorts of issues square measure thought of as real-life issues wherever the human-like intelligence is needed to resolve it.

A.I.

SOFT COMPUTING

Artificial Intelligence is the art and

science of developing intelligent

machines.

Soft Computing aims to exploit tolerance for uncertainty,

imprecision, and partial truth.

AI plays a fundamental role in finding

missing pieces between the

interesting real world problems.

Soft Computing comprises techniques which are inspired by

human reasoning and have the potential in handling

imprecision, uncertainty and partial truth.

Branches of AI :

Branches of soft computing :

AI has countless applications in

healthcare and widely used in

analyzing complicated medical data.

They are used in science and engineering disciplines such

as data mining, electronics, automotive, etc.

Goal is to stimulate human-level

intelligence in machines.

It aims at accommodation with the pervasive imprecision of

the real world.

They require programs to be written.

They not require all programs to be written, they can evolve