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Cognitive Computing Cognitive Computing is a term that defines the use of computerized models to mimic human thought processes in complex situations where the answers are not obvious but can be interpreted in multiple ways.


Along with neural networks, machine learning, deep learning, and natural language processing, cognitive Computing also uses expert systems, speech, object recognition, and robotics.

What is Cognitive Computing?

Machine Learning uses statistical models and algorithms to analyze and draw inferences and patterns from the data. It learns and adapts to new data without any intervention. It provides the ability for computers to learn from preprogrammed algorithms. And Artificial Intelligence provides algorithms for computers to work intelligently. This intelligence allows machines to solve complex problems and make decisions that maximize the chance of success.

What is the Role of Cognitive Computing?

We can understand how significant the role of cognitive Computing is with the example of medicine. Thanks to the systematic literature review, cognitive computing systems can process vast amounts of data, analyze and compare them, and draw conclusions that will improve human decisions.

They combine the best of both worlds – the speed and automation of machines with the critical thinking of people, which ultimately results in time savings and a lower error rate.

How does Cognitive Computing Work?

Cognitive computing systems use technologies that mimic human intelligence to evaluate large amounts of data and suggest the best solution to a given problem.

Since cognitive Computing still lacks human critical thinking and reasoning power, understanding context and conflicting evidence would be impossible without feeding large amounts of structured and formless data into machine learning algorithms.

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Why Write for Techies Times – Cognitive Computing Write for us

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