IBM Watson – Augmenting Human Knowledge

Amazing! Between Watson, Siri and other similar Natural Language apps, we will be entering a new era of Knowledge Augmentation. I am especially thrilled about the impact it will have on teaching.

Watson looks at the question it is being asked and groups words together, finding statistically related phrases. Thanks to a massively parallel architecture, it then simultaneously uses thousands of language analysis algorithms to sift through its database of 15 terabytes of human knowledge and find the correct answer. The more algorithms find the same answer independently, the more a certain answer is likely to be correct. This is how, back in 2011, it managed to win a game of Jeopardy against two human champions.

In a presentation at the the Milken Institute Global Conference, IBM senior vice president and director of research John Kelly III demonstrated how Watson can now list, without human assistance, what it believes are the most valid arguments for and against a topic of choice. In other words, it can now debate for or against any topic, in natural language.

From a Gizmag article on IBM Watson

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