This link has been bookmarked by 2 people . It was first bookmarked on 08 Jul 2008, by Takuya Homma.
-
16 Jul 08
-
08 Jul 08
-
artificial intelligence (AI) is here today.
-
massive volumes of publicly available data thanks to the web, cheap compute cycles thanks to commodity hardware and open source software, and improved programming models for the processing large data sets like MapReduce and advances in machine learning algorithms.
-
Instead Google operates a very large dataset of observations which show that for any given spelling of a word, x number of people say “yes” when asked if they meant to spell word “y.” Google’s spelling engine consists entirely of these datapoints, rather than any notion of what correct English spelling is. That is why the same system can correct spelling in any language.
-
As Pinker tells us, language acquisition is an example of the problem of induction — making generalizations about the future from historic data. Both humans and increasingly “machines” run continuous experiments in order to adjust their internal models.
-
Spelling and translation are the most frequently sited examples of Google “science,” and they both fit the bill.
-
Would you like to comment?
Join Diigo for a free account, or sign in if you are already a member.