An introspection into the unparalleled change in Computer Science Engineering in the next decade
The revolution in computational processes is driving the new age of computer science technology and all those processes that are related to it. The sphere of computational processes as well as computer science engineering is slated to undergo a rapid transformation in the coming times. Credit goes to various engineering colleges in the country that have been at the forefront of this transformation. In fact, the top computer science engineering colleges in Ghaziabad have played a pivotal role in extending the frontiers of new-age breakthrough engineering. It is expected that there will be an unparalleled transformation in computer science engineering in the times to come. Experts have predicted that the face of Computer Engineering would be completely different in the next 10 years. This article aims to introspect the various facets of change in Computer Science Engineering that we would see in the next 10 years.
The future of computing
The future of computing ten years from now will be completely different and a virtual environment will dominate computer operations. The rate of computation will drastically increase and latency would considerably decrease. Virtual reality would underline the new age of computing and the need for physical devices to carry out computational processes would be reduced. We have already seen exciting breakthroughs like the internet of things and cloud computing. In the future, we would see advancements in the internet of things and various types of wearable devices would be used for computational purposes.
We would also see the advantage of different types of biological computing processes. One way to imagine this happening is to envisage the genetic material as a computational system. This will not only allow us to understand biotechnology in a better way but will pave the way for new technologies like 3D printing. In the future, we would be able to conceive new models of the human body with the help of the latest engineering techniques. This means that advancements in the medical sector would reach a new level and there would be a radical shift from traditional and orthodox diagnosis to robotics diagnosis.
The advancements in computing technology would also witness the rise of quantum computing. This implies a shift from the traditional processes of storing information in the form of zeros and ones. In the future, we would rely on qubits which will pave the way for highly efficient computational systems.
Driving forces of change
The change that we are seeing in computational processes can be related to the advancements in deep learning technologies. Needless to mention, the most advanced machine that is present before us in the human brain itself. Scientists in the past considered the understanding of the human brain as a key towards unraveling the secrets of computational processes. Over a period of time, we were able to simulate the functioning of the human brain with the help of artificial neural networks and the technology behind this was deep learning. Deep learning has been the prime driver of change that has enabled us to execute the most complex computational processes with a lot of ease and with a high level of efficiency. Deep learning has enabled us to broaden the horizon of scientific progress and this has contributed to progress in a wide range of sectors.
Intersectoral overlap
In the near future, we would witness the growth of computational processes in a wide range of sectors. The information sector would give inputs to other sectors like manufacturing, production, automation, and the like. Similarly, the dependence of business intelligence and business management on computational processes will increase in the times to come. We can conclude that there would be an intersectoral overlap and various types of sectors would function as a single unit. These interdependent systems would be powered by computational processes that are highly advanced in nature.
Throwing caution to the winds
Given the rate of advancement of computational systems, it is extremely important to focus on aspects of security like data breaches and privacy. In addition to this, the focus needs to be laid on data sensitivity and data sharing processes.
In the future, we would be able to increase aspects of data security in the environs of smart systems with the help of machine learning and deep learning technologies. While the cases of data breaches are relatively low in Quantum computing processes due to the reliance on qubits, it is the cloud computing processes that can become vulnerable in the future. A foolproof security infrastructure can strengthen cyber security as well as the entire process of computation in general.
