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Cognitive Computing refers to the process of reflecting human thought processes in a computerized environment. In this process, self-learning algorithms assess and function the way a human brain works, by making use of pattern recognition, data mining along with natural language processing software.

Cognitive Computing is getting increasingly popular every day; it is extensively employed in Artificial Intelligence, Robotics, Neural Networks, Virtual Reality, and similar applications. The systems are trained to identify and extract the meaning, date, time, syntax, domain, location, and regulations of the data being fed. In addition, it also should study the profile, task, process of conducting a task, and the goal or the objective of the user.

Objectives of The Cognitive Computing 

The main objective of Cognitive Computing is creating self-operating IT systems with independent problem solving capabilities that do not require human intervention. The systems continually learn and refine themselves from the data that is fed into them. This process helps them to become more capable in solving problems independently with time.

Just like the human brain that connects to all the major systems of the body, Cognitive Computing also involves interaction with all the parts of a system – devices, processor, cloud, as well as the user. At the same time, the system must be able to ‘remember’ everything it has learnt in the previous processes and be able to present them accordingly, depending on the problem.

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