Difference between AI and Soft Computing
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 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.
Difference between AI and Soft Computing:
|1||Artificial Intelligence is the art and science of developing intelligent machines.||Soft Computing aims to exploit tolerance for uncertainty, imprecision, and partial truth.|
|2||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.|
|3||Branches of AI :|
1. Reasoning 2. Perception 3. Natural language processing
|Branches of soft computing :|
1. Fuzzy systems 2. Evolutionary computation 3. Artificial neural computing
|4||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.|
|5||Goal is to stimulate human-level intelligence in machines.||It aims at accommodation with the pervasive imprecision of the real world.|
|6||They require programs to be written.||They not require all programs to be written, they can evolve its own programs.|
|7||They require exact input sample.||They can deal with ambiguous and noisy data.|
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