Definition

cognitive computing

This definition is part of our Essential Guide: Special Report: Artificial intelligence apps come of age

Cognitive computing is the simulation of human thought processes in a computerized model. Cognitive computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. The goal of cognitive computing is to create automated IT systems that are capable of solving problems without requiring human assistance.

Cognitive computing systems use machine learning algorithms. Such systems continually acquire knowledge from the data fed into them by mining data for information. The systems refine the way they look for patterns and as well as the way they process data so they become capable of anticipating new problems and modeling possible solutions.

Cognitive computing is used in numerous artificial intelligence (AI) applications, including expert systems, natural language programming, neural networks, robotics and virtual reality. The term cognitive computing is closely associated with IBM’s cognitive computer system, Watson.

See also: big data, big data analytics, deep learning

See Dr. John Kelly's presentation on the future of cognitive computing:

This was last updated in November 2016

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Hlo sir... This is puneeth of mlrit cse
I have an idea about the drone traffic photology
Sir if suppose if there is any traffic there the drone must be sent and taking the photo of traffic situations r any accident happen then this message must be sent to an nearby police station r any help centre by sensors and gpsGPS
This is my idea sir..just pls suggest me
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Nice article on cognitive computing.  One thing you might consider:  at the Cognitive Computing Consortium, we gathered a group of experts in 2014 to define cognitive computing.  We've been honing this definition ever since.  It's important to differentiate cognitive computing, which is largely a set of applications that assist humans in a variety of tasks as opposed to the larger category of AI, which might include as well completely autonomous applications of machine learning.  Both are useful.  Our current goal is to define categories of cognitive applications and develop a profile of each type of use.  Happy to discuss this if it is useful for you.
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