What is the specialty of artificial intelligence? (Artificial intelligence)
Artificial intelligence is a branch of computer science that is concerned with building intelligent machines and systems capable of simulating human intelligence so that these systems behave like humans in terms of learning, understanding, and perception of things. This specialization relies on studying the factors that work to understand the perceptions derived from the external environment in order to analyze them and transform them into an intelligent reaction to respond to it. Where AI allows machines to replicate the capabilities of the human mind.
The work of artificial intelligence systems is based on absorbing large amounts of data and then analyzing the data in order to detect the correlation between them, and using these correlations to predict future situations and events. In this way, the chatbot learns, as it is provided with many examples of text chats, so that it can have a realistic conversation with people.
What are the types of artificial intelligence?
AI is divided into four basic categories, based on the type and complexity of tasks the machine can perform and understand.
1- afor interactive machines: which are able to perceive and interact With the world around it in specific tasks for it, such as the game of chess, where it can predict the next board for the game, so it is without memory, so it does not store previous information in order to predict future behaviors, but plays immediately.
2- memory intelligence:
This AI has memory, so it can store past data and predictions to inform predictions of what might happen.
3- Theory of Mind: They are machines that rely on mind systems to operate, so they have social intelligence to understand feelings. So they are able to infer human intentions and predict behaviour.
4- Self-awareness: These are the machines that evolve to be able to work with self-awareness, and they do not currently exist in abundance.
Artificial Intelligence subjects?
The study of artificial intelligence focuses on understanding modern technology, algorithms, and the system for creating and operating robots. Although each study program has its own characteristics and study plan, there is a set of basic subjects that must be studied in artificial intelligence, including:
– machine learning.
Decision making and robots.
Perception and language.
The technology of human-speaking languages.
Interaction between human and artificial intelligence.
Ethics and artificial intelligence.
Functional programming
Data analysis and algorithm engineering
Computer systems
Robotics
Computerized Mathematics.
Human-computer interfaces
Intelligent systems for pattern recognition.
Basics of artificial intelligence.
– machine learning.
Distributed computers.
Developing smart applications.
Does artificial intelligence have a future?
The specialty of artificial intelligence is one of the disciplines that is in increasing need, and has a great future, given the trend of companies to follow artificial intelligence systems in their departments, communication with customers, and other important applications of artificial intelligence. According to a report by the World Economic Forum (WEF), nearly 85 million jobs are likely to be available in the coming years in AI.
And according to LinkedIn’s recent jobs report, the demand for AI experts has been growing 74% annually over the past five years. It is the No. 1 job in emerging modern disciplines.
Artificial Intelligence Specialization Jobs
There are many career opportunities offered by studying artificial intelligence, where you can work in several jobs, the most important of which are:
Programming Engineer
An engineer who uses computing and programming skills to create and maintain new software and applications.
Computer Linguist
Computational linguists develop systems that can recognize speech and check grammar and text.
Data Scientist
Data scientists are those who interpret the world of data to extract meaning from the data, which is then used to improve products, services, or business decisions.
Machine Learning Engineer
Machine learning engineers work with data and programming languages to create self-running programs that learn based on data.
Robotics engineer
A robotics engineer creates robots and systems that perform tasks that humans cannot or would prefer not to do.
