A “Search Engine” to surf the stream.
Scratch is a programming language that makes it easy to create your own interactive stories, animations, games, music, and art — and share your creations on the web. As young people create and share Scratch projects, they learn important mathematical and computational ideas, while also learning to think creatively, reason systematically, and work collaboratively.
“If you want to know what the large-scale, high-performance data processing infrastructure of the future looks like, my advice would be to read the Google research papers that are coming out right now,” Olson said during a recent panel discussion alongside Wired.
Comprehensive list of free and paid testing services.
My favourite Mac-OS-X text editor just became Open Source. Developer Allan Odgaard announced this in a blog post. The sources of version 2 of TextMate that are still considered Alpha are now available on Github.
Researchers from France and the USA have developed an algorithm that analyzes Google-Street-View images looking for visual elements, e.g. windows, balconies, and street signs, that are most distinctive for a certain geo-spatial area.
In their SIGGRAPH paper they describe how this information can be used to develop an architectural footprint of a city or city area and compare Paris, Barcelona, Prague and London
SMAA is a powerful alternative for FXAA and similar post-processing anti aliasing techniques. Some of the new features include local contrast analysis for more reliable edge detection, and a simple and effective way to handle sharp geometric features and diagonal lines. This, along with the accelerated and accurate pattern classification allows for a better reconstruction of silhouettes. Also it looks much better for scenes in motion.
Check out the video below for a comparison with several other algos. The video is also available as a download in better quality.
Sources are available from Github.
The paper together with all of the above resources is available from this website: http://www.iryoku.com/smaa/
If you want to get started with coding for the Kinect and tend to use Microsofts API instead of OpenNi, I highly recommend to have a look at Microsofts Channel 9 – Coding4Fun articles on the Kinect. Lots of practical examples with source code and technical background info there. For all the Webdudes out there they even have examples for a Kinect WebSocket Server: WebSocketing the Kinect with Kinection; Kinect, HTML5, WebSockets and Canvas.
Not all examples have been updated to use the current Kinect for Windows SDK that established a new interface for the Kinect access. So check the dependencies if you want to build one.
Also worth a look is the Kinect for Windows blog.