Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence.
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Researches are carried out also on signal processing, number theory, artificial intelligence, soft computing, language engineering and mathematical modelling of complex chaotic systems.
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Soft computing differs from conventional ( hard ) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation.
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Prof . Pal is widely recognized across the world for his pioneering and extraordinary contributions in Machine Intelligence, Fuzzy Logic, Soft Computing and Pattern Recognition.
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;Computational intelligence and soft computing : Interest in neural networks and " connectionism " was revived by David Rumelhart and others in the middle of 1980s.
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The company maintains several research centers in the region including research in the areas like soft computing employing fuzzy logic, nano-organics, molecular electronics, optoelectronics and micromachining.
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Neural networks are an example of soft computing---they are solutions to problems which cannot be solved with complete logical certainty, and where an approximate solution is often enough.
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Unlike hard computing schemes, which strive for exactness and full truth, soft computing techniques exploit the given tolerance of imprecision, partial truth, and uncertainty for a particular problem.
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Possibility is used when we don't have enough information to solve a problem but soft computing is used when we don't have enough information about the problem itself.
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More current research since the 1990s include the areas of intelligent systems, generalized information theory, fuzzy set theory and fuzzy logic, theory of generalized measures, and soft computing.
