Among the various branches of engineering that have undergone evolution, it is computer science engineering that has witnessed transformation at its best. The transformation that has been brought about in Computer Science Engineering can be attributed to an ecosystem of research and development that has been formed by the best btech colleges for computer science. When we look at this transformation at the macro level, we find that the advent of the fourth industrial revolution has played the role of a catalyzing agent. The new sub dimensions of computer science engineering that we are currently witnessing in the form of artificial intelligence and machine learning have literally put the parent branch at the backseat. The new sub dimensions of computer science engineering that we are currently witnessing in the form of artificial intelligence and machine learning have literally put the parent branch at the backseat, this is very much evident that most people take up some AI or Machine Learning Certification Course, landing in a highly paid job instead of taking Computer Science Engineering as a whole. It is in this context that a question related to the replacement of Computer Science Engineering by artificial intelligence and machine learning is in the limelight. Let us examine this question in more detail.
The evolution of computer science engineering
The evolution of computer science engineering can be attributed to a vibrant research ecosystem that was forged between the collaboration of the academy and the industry. This ecosystem eventually paved the way for a digital revolution and led to a systematic convergence between various technologies. Needless to mention, artificial intelligence and machine learning were the outcome of such technological innovation. Over a period of time, artificial intelligence and machine learning gained prominence by virtue of their application to a large number of domains.
Although computer science engineering was the parent branch of these two disciplines, most of the educational institutions started to offer separate courses in artificial intelligence and machine learning. This eventually led to more popularity and prominence of artificial intelligence and machine learning. In addition to this, specialized long term and short term courses made them much more common and accessible to professionals.
Advances in artificial intelligence and machine learning
The advances in artificial intelligence and machine learning have simply been phenomenal. What started as an endeavor to train intelligent machines has slowly turned into a great campaign to make machines independent as well. This summarizes the journey of machine learning in general. To equip machines with cognitive capabilities is what has been the aim of artificial intelligence from the very beginning. It would be quite convincing to say that artificial intelligence has done more than enough in realizing this aim.
Artificial intelligence has not only blessed machines with cognitive capabilities but has also given them the power to comprehend human language as well as make sense of human emotions. Advances in artificial intelligence and machine learning would slowly lead us to conceive such types of machines that turn into human partners. In the present times, most of the automated tasks are carried out by intelligent machines. The day is not far when machines would compliment and supplement the everyday tasks of human beings.
The question of substitution
The question of substitution of Computer Science Engineering by Artificial Intelligence and machine learning is actually overrated. We need to acknowledge the fact that Artificial Intelligence and machine learning have risen in prominence and popularity by their wide application domain. However, this does not mean that the parent branch of computer science engineering has lost relevance in the present time. In fact, as the parent branch of new technologies, the evolution and transformation of computer science engineering is still an incomplete process.
Computer science applications are now being applied to the research domains of data science, data analytics and other data based products and services. In simple terms, computer science engineering has become interdisciplinary in nature. This means that computer science provides the theoretical base to the practical applications of Artificial Intelligence and machine learning. For instance, it would be difficult to imagine the progress of machine learning without the programming infrastructure provided by languages like python.
Indeed, the genre of artificial intelligence that we are currently witnessing is called weak AI. With further advancement, the evolution, progress and capability would transform weak AI into general AI. The genre of artificial intelligence that we would witness in future would be super AI. However, there is a need to throw caution to the winds and look at the negative consequences and the ethical questions of artificial intelligence as well. Over a period of time, artificial intelligence would become more responsible and an epicenter to solve the various challenges faced by human beings.
We conclude that Artificial Intelligence and machine learning would become new and full-fledged branches of engineering but the relevance of computer science engineering will never fade in the times to come.