Computer Science engineering has made rapid advances in the last two decades. Credit goes to the development of new technologies as well as scientific methodologies that have culminated into this rapid advancement.
The advancement that has taken in Computer Science can be analysed at three different levels. At the primary level, there has been advancement in processes. This means that the research methodology of computer science engineering has witnessed advances due to which novel innovations have taken place. At the secondary level, advancement has taken place in subject matter and scope of computer science. This has ensured that numerous disciplines carve their way into computer science engineering. At the tertiary level, there has been advancement in institutional progress. This means that a large number of institutions have taken birth to catch up with the rapid pace of computer science engineering.
A large number of colleges have proliferated in different parts of the country catering to the requirements of computer science engineering. There needs to be a notable mention of CS colleges in Ghaziabad that have provided students with advanced, innovative learning hubs as well as technical expertise.
In this article, we look at the various prospects of computer science engineering that are necessary for the advancement of this subject.
Edge computing
Edge computing actually resolves the challenge that we encountered in the process of cloud computing. In the process of cloud computing, the factor of latency not only increased the computation time but also the cost of operations.
Edge computing came forward as a solution to process data very close to the source where it is generated. In this way, edge computing became a viable solution not only for the manufacturing processes but for other applications like augmented analytics, autonomous cars as well as communication technologies.
In addition to this, edge computing also provided us with a quick feedback mechanism that helps in improving the operational processes in the long run.
Robotics
Robotics initially developed as a branch by the intersection of three popular branches of engineering. The first one was computer science, the second one was mechanical engineering and the third one was electrical engineering. Over a period of time, the advancements in robotics made it develop into a full-fledged branch of engineering in some of the Western countries and even in some specific engineering colleges in India.
It is difficult to say that robotics is in its nascent stage of development given the rapid advancements that we have seen in the last decade itself.
Human computer interaction has made robotics much closer to the humans than ever before. In addition to this, Natural Language Processing has rapidly improved the communication capabilities of robots. We have also seen rapid advances in soft computing and this has led to the development of robotic science.
Deep learning technology as well as the advancement in semantics have paved the way for increased research and development in the domain of robotics.
It needs to be noted at this point in time that robotics has further evolved and development of humanoids is being seen as the next leap in this field.
In addition to this, the immense popularity of a humanoid namely Sofia has shown the potential of robotics to develop as a full-fledged branch of computer science engineering.
Quantum computing
Computer science engineering has always relied on increasing the speed of computation and decreasing the latency to as much extent as possible. Quantum computing involves computations at the sub atomic level. As such, it makes use of qubits that take both values of 0 and 1 unlike binary digits.
The advantage of quantum computing is that it allows us to solve most complex problems in a simplistic manner in a short span of time. The tech giants like Google and IBM have invested in this technology as they deem it to be the future of computer science. Pilot studies of quantum computing have already been conducted in a large number of fields.
Some of the most prospective applications of quantum computing are in the domains of banking, finance and satellite communication.
In the domain of transportation, Quantum computing can give access to the shortest possible routes between two points of delivery. It can be extremely helpful in targeted drug delivery as well as development of new medicines. In the domain of environmental science, Quantum computing can help in proposing solutions to the challenge of climate change. Various research studies have already been conducted in this regard.
This is an invaluable and prospective venture for advancement of computer science as a research discipline.
