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Tuesday, November 25, 2014

ScienceDaily: Information Technology News

ScienceDaily: Information Technology News


Physicists and chemists work to improve digital memory technology

Posted: 24 Nov 2014 11:36 AM PST

Researchers are studying graphene and ammonia to develop high-speed, high-capacity random access memory. The team engineered and tested improvements in the performance of a memory structure known as a ferroelectric tunnel junction.

Enabling biocircuits: New device could make large biological circuits practical

Posted: 24 Nov 2014 09:53 AM PST

Researchers have made great progress in recent years in the design and creation of biological circuits -- systems that, like electronic circuits, can take a number of different inputs and deliver a particular kind of output. But while individual components of such biological circuits can have precise and predictable responses, those outcomes become less predictable as more such elements are combined. Scientists have now come up with a way of greatly reducing that unpredictability, introducing a device that could ultimately allow such circuits to behave nearly as predictably as their electronic counterparts.

End to end 5G for super, superfast mobile

Posted: 24 Nov 2014 07:32 AM PST

Computer scientists are investigating how software-defined cellular networking might be used to give smart phone users the next generation of super-superfast broadband, 5G.

Study supports free 'Super WiFi'

Posted: 24 Nov 2014 06:24 AM PST

The need for the wireless transfer of data will increase significantly in the coming years. Scientists therefore propose to turn some of the TV frequencies that will become free into common property and to use it to extend existing wireless networks (WiFi) instead of using the frequencies for mobile communications. Their study recommends that the additional frequencies not be marketed but made available to the population and companies at no cost.

Social media for social good: Researchers estimate air pollution from online posts

Posted: 17 Nov 2014 01:26 PM PST

Computer science researchers have developed a method for using social media posts to estimate air pollution levels with significant accuracy.

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