MIT Scientists Used Biological Virus To Speed Up Computers
Indira Datta - Dec 08, 2018
Researchers have successfully developed a new method of production using a bio-virus that can get rid of delays in data transmission in computers.
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In recent years, the transmission of data has been much improved. However, the information still has to move from hardware to hardware, which can be time-consuming for users. Scientists from the Singapore University of Technology and Design and MIT have devised a new method of production using a biological virus that can get rid of those delays.

According to a study published in the journal ACS Applied Nanomaterials, researchers will use a bio-virus that speeds up the transfer of data. Specifically, the virus, called M13, is capable of unlocking phase-change memory, a kind of digital storage which would accelerate the speed of all computers.
The problem that these viruses deal with is the traditional transferring method of memory in a computer. Transferring data from a fast but transient RAM to persistent storage on the hard drive may take a few milliseconds to complete.
This is where phase-change memory come into the scene, by swapping the two-component memory system for single-type storage. This type of memory can perform as rapidly as a RAM and offer larger storage capacity compared to a hard drive. With phase-change memory, the delay can be reduced to almost ten nanoseconds.
The current production process for phase change memory requires too high a temperature, which can destroy gallium antimonide - this is one of the necessary essential materials in the production of phase-change memory. According to research carried out by scientists, using a virus that pulls the gallium antimonide pieces together can form functional wires while maintaining a much lower temperature.
So don't worry. Some days in the future, if this research is proved to be a success and is applied to everyone's computer hardware system, all users will save over milliseconds of waiting. This helps you work more efficiently and perform better at multi-tasking.
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