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.
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 author argues that privacy advocates are hindering development of sophisticated pattern-analysis and data mining tools for detecting terrorist networks.
The U.S. government has begun a massive data-mining research program, called Total Information Awareness (TIA), that would comb through vast amounts of information--purchase records, E-mail and phone logs, travel arrangements--that people generate in their daily lives, looking for telltale patterns of terrorist activity. One data mining expert noted that the goals of the project -- spotting suspicious patterns across multiple databases while minimizing false alarms and safeguarding individual privacy -- are on a similar scale to "putting a man on the moon."
New intelligence software finds meaning in the chaos of clues scattered throughout data-saturated networks. The challenge: to unravel terrorist plots before they happen.
To harness the vast information flow generated each day, scientists are developing sophisticated software that can instantly mine streaming data, such as videos, without ever needing to archive it.
Biologists in Norway have used a computer program to "read" the scientific literature and successfully predict gene interactions. This data-mining of the "biobibliome" provides a way of dealing with the ever-increasing torrent of biological data - millions of papers a year. But even more impressively, the completely automated process can make new genetic discoveries - essentially free research.
A leading physicist has devised a new quantum computer search algorithm that may make Web searches and their ten pages of useless results a thing of the past.
Researchers have developed a computer algorithm that imitates a fundamental characteristic of human intelligence ?- the ability to distinguish patterns within large amounts of data, text, or images. The program, called an algorithm for non-negative matrix factorization, could one day lead to faster and more accurate video conferencing, data storage and transmission, and web searches, scientists said.