The Energy-Efficient Neuromorphic Computing




The invention of the computer has pushed humanity to new heights. Back in the days, it was impossible to handle data gathering and calculations in the most intricate form. But today, everything is possible with the use of a single computer.

The revolution of data processing and computing is still on the rise without any signs of slowing down. That’s because computer technology handles millions of entry every day. Its usage brings people near accuracy, convenience, and low effort. However, most computers are not energy efficient. But thanks to the new research from Binghamton University (a State University of New York), energy efficient computers are now possible.


The Developmental Start

A lot of devices depended on Wi-Fi for connectivity, and somehow, this possesses a lot of disadvantages for the end user. That is why Louis Piper (an associate professor of physics and director of material science and engineering at Binghamton University New York) is trying to develop an energy efficient computer that allows a device’s total responsiveness. It focuses on a structure that stops devices from losing WIFI connectivity and enables it to stick with the primary computer system.

According to Professor Piper, there are two ways to address the problem of device connectivity and data processing. It is either addressing it through a signal connectivity level or accessing it from the hardware level (which is what his team is currently doing). The main idea of their project is to create a set of chips that are capable of handling computing on its own rather than doing a back and forth communication with a more massive computer machine or server.




The Complexity Of The Creation

Modern research is trying to replicate the functions of the neurons in a human brain. And through this continued research, scientists have finally created neuristors. Neuristors are circuits that act at the same level as biological neurons. It can do complex computations with the use of minimal power. Part of a neuristor is made up of niobium dioxide, which can act similarly as the switching action of ion channels.

Though the study is currently progressing, these components are very difficult to fabricate. It is complicated, elaborate, and time-consuming. The parts require a companion capacitor to be able to function within the neuristor circuit. Its overall complexity process is challenging because the fabrication stage of the niobium dioxide needs a bolt of electricity for it to be created.

Seemingly, the specifications of the process are not how engineers do the fabrication, and that’s not how silicon transistors get incorporated in its manufacturing as well. That is why in the study proposed by the Georgia Tech team in creating NB2O5x based devices, they are not going to inject an additional pulse of energy. This method was verified by Piper’s team and even said that it could lead to an inexpensive and energy efficient neuristor circuit.

The team aims to create the devices in a traditional way of fabrication without undergoing the required steps in manufacturing. But current data supports that the possibility of creating highly efficient devices might deviate the original manufacturing technique. According to the data from Binghamton, Piper’s team is trying to model the neuristor in a more atomic perspective. Therefore, they don’t want to compromise the nature of every material and give the device the capability to evolve during its operational process.



Technology is getting smaller and smaller while increasing its effectivity. Gone are the days of gigantic computers handling thousands or millions of data processes. The future of technological advancement is pointing towards multiple data computing where it welcomes a single device that can compute, manage, retain, and process all information in a split second.



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