Difference between AI and Soft Computing
AI
AI or Artificial Intelligence is a science which deals with making machine intelligence. It utilizes image processing, cognitive science, neural systems, machine learning, etc. AI enables machines to behave in a similar manner as human behaves in varying situations.
Soft Computing
Soft computing is a computing model evolved to solve non-linear issues. It helps to solve issues where human intelligence is needed to solve. Probabilistic models, fuzzy logic, neural networks, evolutionary algorithms are part of soft computing.
The following are some of the important differences between AI and Soft Computing.
| Sr. No. | Key | AI | Soft Computing |
|---|
| 1 | Concept | Artificial Intelligence targets to make machines intelligent. | Soft computing deals with issues with tolerance levels like uncertainty, imprecision, partial truth, etc. |
| 2 | Branches | AI has the following major branches.
| Soft computing has the following major branches.
|
| 3 | Applications | AI applications are countless. AI is used in healthcare, finance, automotive, data security to analyze complex data. | Soft computing is used in engineering disciplines like data mining, automotive, etc. |
| 4 | Aim | AI aims at making machines intelligent. | Soft computing deals with imprecision and probabilities. |
| 5 | Input | AI needs the appropriate data to analyze and act. | Soft computing can handle ambiguous and noisy data. |
Published on 15-Apr-2020 12:06:15
