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Honda, ATR and Shimadzu Jointly Develop Brain-Machine Interface Technology Enabling Control of a Robot by Human Thought Alone...
http://www.youtube.com/watch?v=55gbCkPTBAs
(by IvorKovic March 31, 2009)
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--> UNREAL TECHNOLOGY FROM MICROSOFT.

CHECK OUT THESE LATEST TECHNO TABLES ETC FROM MICROSOFT...AMAZING...SPECIALL Y THOSE SMALL ANIMATED SQUARES...HOW?
http://www.youtube.com/watch?v=jrPX2xLggSc   (By weldon0m)
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www.tstc.edu The Graphics, Gaming & Simulation specialization of Computer Science Technology is designed to prepare students for entry into the world of graphics programming. Graphics and simulati...
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- What is the most efficient way to sort a million 32-bit integers ?
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           News of Computer Science and Technology
New artificial intelligence system automatically evolves to evade internet censorship
Researchers developed a tool called Geneva (short for Genetic Evasion), which automatically learns to circumvent censorship. Tested in China, India and Kazakhstan, Geneva found dozens of ways to circumvent censorship by exploiting gaps in censors' logic and finding bugs that the researchers say would have been virtually impossible to find manually.
Research to make (fun) multi-player gaming an educational experience
A new video game framework brings together two well-studied approaches to educational software in order to keep multiple players engrossed in the learning experience while fostering collaboration and problem solving. The framework is one of the first to integrate narrative-centered learning and collaborative learning techniques, laying the groundwork for future efforts in the field.
Environmental cost of cryptocurrency mines
Bitcoin, Ethereum, Litecoin and Monero -- the names of digital-based 'cryptocurrencies' are being heard more and more frequently. But despite having no physical representation, could these new methods of exchange actually be negatively impacting our planet? It's a question being asked by researchers who are investigating the environmental impacts of mining cryptocurrencies.
Deep neural networks speed up weather and climate models
A team of environmental and computation scientists is using deep neural networks, a type of machine learning, to replace the parameterizations of certain physical schemes in the Weather Research and Forecasting Model, an extremely comprehensive model that simulates the evolution of many aspects of the physical world around us.

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