An emerging field known as sentiment analysis, fueled by social networking, is taking shape around one of the computer world's unexplored frontiers: translating human emotions into hard data, which could eventually transform the experience of searching for information online.

The increasing capability of high-resolution military and intelligence sensors is producing ever growing quantities of data that could overwhelm the capacity to analyze them without new approaches to data management and analysis, according to a newly released report from the JASON defense advisory panel.

The six billion people on Earth are changing the biosphere so quickly that traditional ecological methods can't keep up. Humans, though, are acute observers of their environments and bodies, so scientists are combing through the text and numbers on the Internet in hopes of extracting otherwise unavailable or expensive information.

Dark Web, a giant, searchable database at the University of Arizona's Artificial Intelligence Lab, is an attempt to uncover, cross-reference, catalogue and analyze all online terrorist-generated content on the at least 7000 to 8000 terrorist sites.

A team of computational scientists have created a new technology they are calling the "Dark Web" which aims to systematically collect and analyze all terrorist-generated content on the Web.

The US government is developing a massive computer system that can collect huge amounts of data and, by linking far-flung information from blogs and e-mail to government records and intelligence reports, search for patterns of terrorist activity.

With CIA backing, a U.S. company has developed a method to parse electronic documents almost instantly and diagram all of the sentences inside, helping turn chatter into information that is relevant and usable.

The U.S. Defense Department hopes an elite group of AI scientists will develop more tools to help intelligence analysts find terrorists before they strike.

The author argues that privacy advocates are hindering development of sophisticated pattern-analysis and data mining tools for detecting terrorist networks.

The author argues that placing privacy restrictions on government use of machines for intelligence gathering is neither practical or necessary.