Use past news events to enhance your program trading strategies. Thomson Reuters NewsScope Archive is a comprehensive, machine-readable archive of Reuters news that presents events exactly as they broke to the markets. Each release of information is timestamped to the millisecond and tagged with an array of metadata fields for easy machine consumption.

Jonathan Wilkins of iSEC Partners said the method had a total success rate of 17.5 percent against reCAPTCHA. The rate is significant because of the wide use of botnets by spammers and other miscreants. Even a modest-sized network of 10,000 infected machines with a success rate of 0.01 percent would yield 10 successes every second. That could translate into 864,000 new accounts every day, he said.

...

A Google spokesman said the data collected in the report was collected in early 2008 and didn't reflect enhancements made to reCAPTCHA since then.

A five-year research programme, called Project Indect, aims to develop computer programmes which act as "agents" to monitor and process information from web sites, discussion forums, file servers, peer-to-peer networks and even individual computers.

Its main objectives include the "automatic detection of threats and abnormal behaviour or violence".

Welcome! This is the home page for The Computational Beauty of Nature, affectionately known as ``The Fish and Chips Book.'' Here, you will find information about the book, source code for simulations involving fractals, chaos, complex systems, and adaptation, and a whole slew of goodies for people interested in multidisciplinary topics involving computers, philosophy, and science.

This portal is based on and replaces the NLG Resources Wiki run by ACL SIGGEN from November 2005 to February 2009.

(still) in alphabetical order. It will soon be ordered on activity.

A more recent 2009 study, again at Lausanne, suggests that swarms of bots don't just evolve cooperative strategies to find food (or avoid poison), they can also evolve the ability to deceive. Bots equipped with artificial neural networks and programmed to find food eventually learn to conceal their visual signals from other robots to keep the food for themselves.

As the robot slides down the snowy mountain we can see an impressive ability to self balance, change direction, and autonomously sense and navigate around race gates.

A gyroscope, four sensors mounted between the skis, and motor position sensors support the lower control of stability and joints.

A simple USB camera and a GPS system allow the robot to gather the necessary input to determine its position and calculate what action it should take next.

Are we humans – with our carbon-based neural net “wetware” brains – at a point in history when we might be able to imprint the circuitry of the human brain using transistors on a silicon chip?

A well-covered recent article in MIT's Technology Review reports that a team of European scientists may have taken the first steps in creating a silicon chip designed to function like a human brain.