Does IBM's Watson represent a distinct breakthrough in machine learning and natural language processing or is the 2,880-core wunderkind merely a solid feat of engineering?
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Home → Magazine Archive → July 2011 (Vol. 54, No. 7) → Weighing Watson's Impact → Abstract
Weighing Watson's Impact
By Kirk L. Kroeker
Communications of the ACM,
Vol. 54 No. 7, Pages 13-15
10.1145/1965724.1965730
![[article image]](https://cacm.acm.org/system/assets/0000/5466/062011_CACMpg13_Weighing-Watsons2.large.jpg?1476779421&1308085458 "IBM's Watson machine")
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Eric Nieuwland
In this article Kroeker describes the Watson team learned it was necessary to create "a positive feedback loop of extracting basic syntax and local semantics from language, learning from context, and then interacting with users and a broader community to acquire knowledge that is otherwise difficult to extract,. Which is not unlike how children acquire their native language, as parents can testify.