Today’s post is a wrap up of three all in one shares. I begin by sharing another definition series of posts from the computer technology portal WhatIs.com. The definition in on a topic that is becoming mainstream in the world of computing that is called Cognitive Computing.
I provided also a hyperlink to the Wikipedia page of the same topic that starts with a very good overall description of this subject worth reproducing here as an introduction:
Cognitive computing (CC) describes technology platforms that, broadly speaking, are based on the scientific disciplines of Artificial Intelligence and Signal Processing. These platforms encompass machine learning, reasoning, natural language processing, speech and vision, human-computer interaction, dialog and narrative generation and more.
Those are all topics widely covered by The Information Age, as the usual visitors by now definitely know about.
But coming back to the WhatIs.com definition, the same goes like this:
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.
In this more business friendly definition we can see that the importance and relevance of cognitive computing might be on the referenced automated IT systems, and the way those systems are designed by inspiration on the functioning of the Human Brain. Also of note is the use of machine learning and data mining by cognitive computing systems, but the use of these techniques for performing tasks in anticipation of new problems and modeling possible solutions to those problems.
IBM Watson Cognitive Computing API
In the last paragraph of the definition presented above, we could see that the most important implementation to date of cognitive computing is the well-known supercomputer from IBM called Watson. This is a cognitive computer by design and purpose. I the website dedicated to the massive application programming interface (APIs) content and developments named ProgrammableWeb, we can find nice structured information about IBM Watson API, as well as articles written by experienced developers and/or users that have become familiar with the API. One of such articles written quite recently describes a development that IBM is providing. The developers interested in this space will see their path forward facilitated by one of the most important technology company, that is a leader in the application of these kind of techniques for enterprise computing systems.
TED: Cognitive Computing
Finally I would like to end this post with a third share. This time it is a short video presentation of what Watson Cognitive Computing really is and one possible application of the technology that I found to be of interest is in healthcare:
Featured Image: Cognitive Computing