One of the greatest revolutions that we have witnessed in the history of the planet is the technological revolution brought about by artificial intelligence. Artificial intelligence is responsible for augmenting human capabilities and deriving solutions to some of the most herculean problems on record. It is said that we stand at the cusp of a technological revolution in which human intelligence and machine intelligence coincide. The current state of artificial intelligence has influenced humans in a number of ways. As such, it is extremely important to make a sense of the trajectory in which artificial intelligence is heading.
It is in this context that future manpower needs to be trained in artificial intelligence courses. This would have important benefits. Firstly, this would help in making artificial intelligence much more responsible and ethical. Secondly, this would help in harnessing the power of artificial intelligence for the benefit of mankind. Finally, it would allow us to understand the shortcomings of artificial intelligence.
It needs to be noted at this point in time that the rise of computational intelligence can be attributed to the shortcomings of artificial intelligence itself. In this article, we draw a line of demarcation between artificial intelligence and computation intelligence and understand both of these terms from a technical perspective.
The idea of AI
The idea of artificial intelligence is not a new thing anymore. Although it is one of the path-breaking phenomena that has taken place in recent times, both academic and business domains have successfully incorporated it as their undetachable appendage. In simple terms, artificial intelligence refers to the emulation of human intelligence by machines for performing various types of tasks with a high degree of accuracy. Primarily, artificial intelligence is used to conceive such types of computer programs that allow machines to perform tasks better than human beings. This literally means that artificial intelligence gives machines the power to demonstrate human intelligence much like homo sapiens.
The case of computational intelligence
Computational intelligence is a process that involves the capacity of machines to process information at a very high speed. This means that computational intelligence gives the capacity of fault tolerance to machines. In other words, it allows machines to perform well in a dynamic and agile environment. This indicates that machines can be trained to display intelligent behaviour even when the ecosystem is changing and they are being fed with large volumes of data.
This adapting capacity of machines gives them an edge over artificial intelligence. Examples of dynamic environments arise in the cases of swarm intelligence and fuzzy systems. Such changing environments are also typical cases related to artificial immune systems and artificial neural networks.
When machines perform in such a dynamic and random environment, they are said to exhibit the capacity of computational intelligence.
The lines of demarcation between AI and CI
The lines of demarcation between artificial intelligence and computational intelligence can be understood on the basis of the performance of machines in certain ecosystems. Artificial intelligence is about the demonstration of intelligent behaviour that is exhibited by machines in a fixed environment. In computational intelligence, the environment is usually dynamic and machines need to adapt according to certain circumstances. In other words, computational intelligence can be referred to as the demonstration of intelligence by machines with the help of advanced computational models and networks.
The application domains of artificial intelligence are vast and broad. Artificial intelligence finds application in the domain of education, healthcare, logistics, natural language processing, image language processing, computer vision, machine learning as well as big data technology. Various types of sectors like business and tourism also use artificial intelligence in one or the other way. On the other hand, the applications of computational intelligence are much more advanced in nature. For instance, the smart gadgets in a smart city, precise medical diagnosis, predictive analytics, search engine recommendation, cryptography techniques, optimization applications as well as other types of business applications come under the domain of computational intelligence.
The bottom line
The idea to take artificial intelligence to the next level of intelligence is what has given rise to computational intelligence. The main aim of computational intelligence is to conceive such a type of computational paradigm that makes it possible for machines to demonstrate the same intelligence even in a changing environment. The application domains of artificial intelligence are already witnessing constant expansion. In the future, the application domains of computation intelligence may even overshadow the potential application areas of AI.