Artificial intelligence is a technology that deals with the art of teaching machines to think like humans. This job is easier said than done because it involves a lot of complex technologies like machine learning, deep learning, human computer interaction, data mining, data processing, computer vision, natural language processing and the like. This means that the knowledge of artificial intelligence incorporates some amount of expertise in all the above mentioned sectors. This expertise can either come through professional training or artificial intelligence courses. Both professional training as well as artificial intelligence courses in Delhi have developed over the years and are relatively in a mature stage as compared to other states. That said, a large number of aspects of artificial intelligence are either misunderstood or misinterpreted. This article aims to uncover various realities of artificial intelligence in a simple and lucid manner.
The crux of intelligence and its extension to machines
Artificial intelligence is made up of two simple words, the first being artificial and the second being intelligence. As the name signifies, the goal of artificial intelligence is the replication of human intelligence in some form so that it can be incorporated into the architecture of intelligent machines. Human intelligence has traditionally involved the study of learning, logical thinking, perception, understanding, behavior, reasoning as well as creativity. These domains are as vast as we can think of. This literally means that the extension of these domains into the architecture of machines involves critical understanding. This is possible with the help of training of machines by labeled and unlabeled data sets. In other words, the training of machines takes place under guided circumstances or under unguided circumstances. Consequently, the above two processes are given the name of supervised machine learning and unsupervised machine learning respectively. There is also a third branch of making machines understand and learn new things in an environment which is partially controlled. This is popularly given the name of reinforcement learning. In reinforcement learning, we usually use a hit and trial method to train machines and improve their accuracy. Machines are allowed to make mistakes so that they can self-correct themselves and learn from previous data and experiences.
Matching the intelligence and cognitive power of humans: Artificial General Intelligence
Artificial General Intelligence is a very advanced stage of artificial intelligence. The research in Artificial General Intelligence is focused on developing such cognitive capacities of machines that are equivalent to human beings. Although we have succeeded in making advanced machines that are capable of replicating human intelligence, there are still a lot of limitations in this endeavor. It is difficult to find examples of such types of machines that are fully equipped with cognitive capabilities of the level of human beings. There are also limitations in Artificial General Intelligence because development of machines with full cognitive capabilities can have strong ethical challenges.
The art of speaking like humans: Natural Language Processing capabilities
The art of making machines speak like humans is one of the most prominent research sectors of artificial intelligence. This comes under the domain of natural language processing capabilities. When machines are able to communicate with humans with a free flow, we call it a human computer interaction in action. Human computer interaction as well as Natural Language capabilities are also given the name of conversational artificial intelligence. Conversational artificial intelligence finds applications in a large number of sectors, the most prominent of them being the chatbot industry. Chatbots and virtual assistants are used to solve different problems of humans on an online platform in a hassle free manner. The conversation takes place in real-time and most of the grievances are resolved with the help of pre-programming capabilities of chatbots. In this way, conversational artificial intelligence leads to the development of an effective grievance redressal mechanism. This improves customer relations particularly In the E-Commerce sector.
The future of artificial intelligence
Given the way artificial intelligence is progressing, it is likely that we may proceed to the next level of artificial intelligence. The current state of artificial intelligence is called reactive machines. Reactive machines are just capable of responding to signs, symbols and languages of humans with the help of pre-programming capacities. On the other hand, Artificial Intelligence with limited memory is used for constructing self-driving Cars and industrial robots. The stage that we haven’t reached yet is called theory of mind. This stage may probably involve a kind of artificial intelligence that has a set of underlying emotions as well as concepts. So, we conclude that the future of artificial intelligence is yet to arrive.