FAWN is a fast, scalable, and power-efficient cluster architecture for data-intensive computing. Our prototype FAWN cluster links together a large number of tiny nodes built using embedded processors and small amounts (2--16GB) of flash memory into an ensemble capable of handling 1300 queries per second per node, while consuming fewer than 4 watts of power per node.

A complete tutorial on Lego gears, their advantages and disadvantages as well as the basic laws of mechanics that apply to them.

RepRap is short for Replicating Rapid-prototyper. It is the practical self-copying 3D printer shown on the right - a self-replicating machine. This 3D printer builds the parts up in layers of plastic. This technology already exists, but the cheapest commercial machine would cost you about €30,000. And it isn't even designed so that it can make itself. So what the RepRap team are doing is to develop and to give away the designs for a much cheaper machine with the novel capability of being able to self-copy (material costs are about €500). That way it's accessible to small communities in the developing world as well as individuals in the developed world.

Opengazer is an open source application that uses an ordinary webcam to estimate the direction of your gaze. This information can then be passed to other applications. For example, used in conjunction with Dasher, opengazer allows you to write with your eyes. Opengazer aims to be a low-cost software alternative to commercial hardware-based eye trackers.

"Bring together the fans of minifig and brick customization worldwide, to showcase our creations, share our skills and further promote our hobby"

FULL SUSTAIN MODE - like no other sustainer; infinite sustain on every string, at every fret position and at any volume. You may have heard sustain before but not with this power (we call it “Vo Power”) and clarity.

Imagine if web sites could provide you with customized information based on your current location, even if you don't have GPS. Today we're launching the Gears Geolocation API for mobile and desktop browsers, while two third-party developers are launching the first location-enabled web apps using this API on Windows Mobile.

The Neural Network manager for NXT is a Java Graphical User Interface which allows Lego fans to easily create, manage and train a neural network which can be exported and used in any program to be designed to run on the LEGO NXT. The total system comprises of two main parts, a UI running on the NXT and the Neural Network Manager running on the PC. The Neural network is created by the Neural Network Manager and can once trained be exported to a Java file that should be compiled and uploaded to the NXT.