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Learning machine: Sean Colbath, a senior scientist at Raytheon BBN, helped create the system.

They look a bit like communally written Wikipedia pages. But these articles—concise profiles of people and organizations, complete with lists of connected organizations, people, and events—were in fact written by computers, in a new bid by the Pentagon to build machines that can follow global news events and provide intelligence analysts with useful summaries in close to real time.

The prototype system is part of a nonpublic site built for intelligence agencies by Raytheon BBN in Cambridge, Massachusetts, and scheduled for delivery to the government later this year. It gathers information from 40 news websites written in English, Chinese, and Arabic, and eventually it will cover hundreds of news sites in all major languages. Ultimately the system will be linked with an existing TV broadcast monitoring network.

To read the full, original article click on this link: An Online Encyclopedia that Writes Itself - Technology Review