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Artificial Intelligence and Disciplinarity

Abdur Rahman Khan

Artificial intelligence is a branch of computer science that attempts to imitate human intelligence and thinking by computers.

Artificial intelligence is a branch of computer science that attempts to imitate human intelligence and thinking by computers. Artificial intelligence has become a discipline within the institutional education system to develop software and connect it with machine learning that essentially demonstrates intelligence. The use of artificial intelligence in robotics technology is also now detailed i.e. the ability of any machine, especially a robot, to act like a human is termed as artificial intelligence, basically some software has been developed to demonstrate such ability and help another machine behave like a human.

Artificial intelligence is the artificial intelligence and thinking power of humans implemented through technology. Laker Benjabin stated in 2023 that the computer mimics the cognitive unit so that the computer can think like a human. Like learning and problem solving. Artificial intelligence (AI) is intelligence displayed by machines. In computer science, AI defines itself as the study of ‘intelligent agents’: any machine that can sense its environment and take actions that greatly advance its success in achieving its goals. When a machine performs ‘cognitive’ functions that are similar to other human minds, such as those associated with ‘learning’ and ‘problem solving’, the term ‘artificial intelligence’ is applied. Andrea Kaplan and Michael Heinlein define artificial intelligence as ‘the ability to accurately interpret information outside of a system, learn from that information, and use that learning to make specific goals through flexible adaptation.

As machines become increasingly capable, intelligence needs to be removed from the definition in favor of humans. For example, optical character recognition is no longer perceived as an example of ‘artificial intelligence’, but becomes a mainstream technology. Capabilities currently classified include successfully understanding human speech, strategic game systems such as [perceptions such as participating in a chess game and reviewing next moves, participating in high-level competitions, driving autonomously] military simulations and complex databases. can explain

AI research can be divided into a number of subdisciplines that focus on specific problems, approaches, the use of specific tools, or the best performance of specific applications. Artificial intelligence, or artificial intelligence can do exactly what, and what it can not do! In order to have a clear idea about this, it is necessary to know a few things first. Artificial intelligence requires millions of records of data and necessary computer processing power to work. Big data is the ability to link multiple data together to form a single document.

Next, chatbots are a branch of virtual assistants, which traditionally act like an agent. It tries to answer as accurately as possible by speaking directly to the questioner. Moreover, ChatGPT is an interface built on an artificial intelligence version that relies on semantic language models. Its developer is OpenEye. This chatGPT is taught how to perform linguistic tasks using large amounts of data. Then there are cloud robotics which can use various types of cloud technologies including cloud computing, cloud storage, these special robotics. People can also use it with the help of remote control if they want. This deep learning process is used for artificial intelligence or artificial neutral tasks. In this way, computers and other devices are taught to work, just as humans learn. The task of edge computing is to help in obtaining more information, reducing the amount of errors, etc.

Developers and enterprises operate using real time data processing. This game AI is used for video games. GameEye is all about building human-like intelligence into non-player characters. GPT 4 is going to be the latest addition to OpenAI. This is the first multimodal model of the GPT model. That is, it can simultaneously take image and text input and output text from it. Large language models are another important machine learning algorithm used to understand human language code. It can even explain human emotions. On the other hand, machine learning is said to be one of the foundations of artificial intelligence. In this process any machine, such as a chatbot, can learn something automatically.

It can be said about artificial intelligence that although initially logic and problem-oriented machine learning processing was started, but its form changed little by little. For example, many tasks such as knowledge representation can be accomplished using artificial intelligence. For example, expansion of general knowledge, its use in education, use in planning etc. Lately, there has been a lot of research on the expression of emotions in artificial intelligence, due to which some scientists are quite worried. Whether mankind would be in a situation similar to Shakespearean Othello, if mastered in the exchange of expressions, can be discussed in the next chapter.

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