Marketcetera

http://venturebeatprofiles.com/company/profile/marketcetera

"Marketcetera Platform allows you to build automated trading systems for equities, equity options and currencies, to maximize the effectiveness of your traders and developers. Trade opportunities disappear in milliseconds. Equity options data feeds now reach 1 million messages per second. "

Homepage: http://www.marketcetera.com/site/

Structured Data Start Ups

Data Marketplace

Data Market http://www.crunchbase.com/company/datamarket

Factual
http://searchengineland.com/factual-parting-the-curtains-of-the-invisible-web-27608

InfoChimps
http://blog.infochimps.org/

Others
http://www.crunchbase.com/tag/structured-data

Plasmobot: the slime mold robot

http://www.newscientist.com/article/mg20327245.100-plasmobot-the-slime-mould-robot.html?DCMP=OTC-rss&nsref=robots

"In recent years, single-celled organisms have been used to control six-legged robots, but Andrew Adamatzky at UWE wants to go one step further by making a complete "robot" out of a plasmodium slime mould, Physarum polycephalum, a commonly occurring mould that moves towards food sources such as bacteria and fungi, and shies away from light."


Andrew Adamatzky homepage:
http://uncomp.uwe.ac.uk/adamatzky/

Credit Derivatives: Russia safer investment than California

http://www.bloomberg.com/apps/news?pid=20601109&sid=aypQny1ySDjU

“This would have been impossible to imagine a year ago,” said Dmitry Sentchoukov, an emerging-market credit strategist at Dresdner Kleinwort in London. “Now it’s clear emerging economies are going to outperform the Group of Seven in growth, and that makes investors comfortable with the idea that developing countries can be priced richer than developed.”


"Credit-default swap prices from Turkey to Indonesia are falling as bonds rise amid signs that their economies are recovering faster than developed nations."

International Joint Conference for Artificial Intelligence

The AI State of the Union

http://www.newscientist.com/article/dn17518-smart-machines-whats-the-worst-that-could-happen.html?DCMP=OTC-rss&nsref=robots

Buehler, Zisserman, Everingham Computer Learns Sign Language

"Once the team were confident the computer could identify different signs in this way, they exposed it to around 10 hours of TV footage that was both signed and subtitled. They tasked the software with learning the signs for a mixture of 210 nouns and adjectives that appeared multiple times during the footage."

http://www.newscientist.com/article/dn17431-computer-learns-sign-language-by-watching-tv.html

Patrick Buehler:
http://patrick.buehler.googlepages.com/home

Andrew Zisserman:
http://www.robots.ox.ac.uk/~az/

Mark Everingham:
http://www.comp.leeds.ac.uk/me/

"We propose a framework based on multiple instance
learning which can learn a large number of British Sign
Language signs from TV broadcasts. We achieve very
promising results even under these weak and noisy conditions
by using a state-of-the-art upper-body tracker, descriptors
of the hands that properly model the case of touching
hands, and a plentiful supply of data. A similar method
could be applied to a variety of fields where weak supervision
is available, such as learning gestures and actions."

Learning Sign Language by Watching Tv

Social Security Numbers Can Be Predicted With Public Information

"Carnegie Mellon University researchers have shown that public information readily gleaned from governmental sources, commercial data bases, or online social networks can be used to routinely predict most — and sometimes all — of an individual's nine-digit Social Security number."

http://www.sciencedaily.com/releases/2009/07/090706171509.htm

More info from CMU: http://blogs.heinz.cmu.edu/ssnstudy/

Ralph Gross:
http://www.ri.cmu.edu/person.html?person_id=742

Alessandro Acquisti:
http://www.heinz.cmu.edu/~acquisti/