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Nano-scale Integration Takes A Leap With A New Infinitesimal Computing Device

A road to reality, a bridge directly connecting billions of hearts through technology and predictions is the foundation of today’s topic, an infinitesimal machine for computation. Years ago, Professor Feynman predicted a nano-world to procure duties and shoulder the biggest share of responsibilities. Eyeing that, science has gone through a global evolution and now taking the predictions down to earth, yesterday, in fact, a group of researchers from the University of California, Santa Barbara has officially announced a functional model of a nanoscale computing device.

History shows electronic devices improved positively with time. While they got thinner and shorter in size, smartness increased exponentially. The virus-sized computer is made up of a dense, three-dimensional circuit, powered by a customized logic which takes up no more than 50 nanometers on each side. Gina Adam, a postdoctoral researcher at UCSB's Department of Computer Science and the primary author of the corresponding paper responded that they required a breakthrough research to escalate the processing speed beyond comprehension.

Memristors Ensemble For The Nanoscale Computation

In contemporary computers data, processing and memory storage units are segregated from each other which reduces the speed. Instead, processing data directly inside the 3D memory space will erase such problems, according to the team. Dmitri Strukov, a professor at the UCSB dept. of computer science implied that their team has continually improved the nanoscale devices. To win the Feynman Grand Prize Challenge, the team has put forward an 8-bit adder operating in 50-by-50-by-50 nanometer dimension which has not been achieved yet but leaves high hopes to hit the preferred standard.

The unconventional logic is derived from the combination of material implication logic and memristors. They work as the primary circuit elements, where the resistance is decided on the charge and the current direction that has flown through the path. Having integrated units, the computation results get a place in the immediate memory element, without having the fear of data loss in time of power outages.

Further, the research team has reframed the two-block memristors into 3D configuration, justified to meet the requirements for Feynman GP Challenge in short. The research team believes that further research is required to completely rely on the upcoming technology, yet one day it will replace the contemporary computing technology. The complete project has been recently published in the journal Nano Research.

Source: UCSB

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