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We are unquestionably in a wonderful digital age where we have  computers that are surprisingly powerful, fully functional programming languages, lightning-fast internet connections, and operating systems and software that allow us to do almost anything. The development of computing power and technology is driven by numerous computer science innovations.

Everything about computers is changing with computing. The cloud-based Internet of Things (IoT), which goes beyond software and applications, is revolutionising the businesses. Well, to incorporate such high tech systems and networking solutions to transform your business with such IT solutions, connect with COMnet, the top IT services company.

Without such new innovations in technology, it would not have been possible to achieve the success of modern computer technology, which altered the course of computer history throughout the entire world. Let’s explore the 7 major emerging technologies and advances in Computing for the Future-

• Memory-based computing

Moving data from the hard disc where it is stored to random access memory (RAM) for use is the most time-consuming process. In contrast, in-memory computing loads enormous quantities of data into RAM for immediate processing. It can massively boost both performance and overall costs when used in combination with new analytics, database, and system designs.

• Quantum technology

Even the most advanced computer can assign only one or zero each bit. The Qubits, or quantum bits, used in quantum computing, on the other hand, can simultaneously be a zero, a one, both at once, or some value in between.  A quantum computer, in theory, will be able to solve highly complex problems, such as analysing genetic data or testing aircraft systems, millions of times faster than current computers. The closest we’ve gotten so far is when Google researchers revealed in 2015 that they had created a new method for qubits to detect and guard against errors.

• Data Storage in DNA

A tiny amount of DNA contains a vast amount of information. In fact, according to a team of Swiss researchers, a teaspoon of DNA could contain all the information that humans have created to date, from the earliest cave drawings to yesterday’s Facebook status updates. Although it is currently expensive and time-consuming, gene editing could become the future of big data’s future: Microsoft is focusing on leveraging synthetic DNA for secure long-term data storage.

• Microchips based on Graphene

It is possible to roll up graphene into tiny tubes or combine it with other materials to move electrons more quickly and efficiently than even the smallest silicon transistor. Graphene is one molecule thick and more conductive than any other known material.

• Molecular electronics

The Lund University in Sweden has developed a “biocomputer” that uses nanotechnology to move multiple protein filaments along nanoscopic artificial pathways at once in order to perform parallel calculations. This biocomputer is 99 percent more energy-efficient, operates faster than conventional electrical computers, and is less expensive to produce and use than both conventional and quantum computers. Furthermore, it is more likely than quantum computing to be commercialised soon.

• Passive Wi-Fi technology

At the University of Washington, a group of electrical and computer experts have found a technique to create Wi-fi transmissions that consume 10,000 times less power than the current battery-draining standard. While there hasn’t technically been an increase in processing power, connection has exponentially increased, which will lead to other kinds of advancements. Passive Wi-fi, which the MIT Technology Review named one of the ten breakthrough technologies of 2016, will not only extend battery life but also enable a low-power Internet of Things, enable previously power-hungry devices to connect to Wi-fi for the first time, and possibly develop entirely new forms of communication.

• Neuromorphic computing

Developing a computer that functions similarly to the human brain—capable of processing and learning from data as rapidly as it is generated—is the aim of neuromorphic technology. We have so far created deep learning chips that can train and run neural networks, which is a step in the right direction.

You can also check out other informative blogs by COMnet, IT solutions company, to know What is network operating system? Or What is multi cloud? or any other different aspects of computing technologies