Artificial Intelligence, often abbreviated as AI, refers to computer systems designed to perform tasks that typically require human intelligence. These tasks include perception, learning, and decision-making.

What is AI (Artificial Intelligence)?

Artificial Intelligence technology aims to simulate the workings of the human mind to create systems capable of learning and making decisions. AI systems have similar abilities to those possessed by humans, such as perception, learning, and reasoning. An AI application can be designed to evaluate what it sees and hears, much like a human. It can also be endowed with robotic control capabilities.

How Does AI (Artificial Intelligence) Work?

Developing Artificial Intelligence systems requires large amounts of data and algorithms to process this data. AI systems learn by processing pre-labeled data with machine learning algorithms, using this process to inform decision-making.

At the core of AI technology are Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, and Neural Networks, among other technologies.

Artificial Intelligence applications designed to simulate human intelligence are expected to have abilities like learning, reasoning, deduction, natural language processing, and creativity.

Deep learning methods, which encompass machine learning and neural network technologies, are used to give Artificial Intelligence applications learning capabilities. This learning process allows AI to make sense of and utilize given data through various algorithms. Similar to a human, an AI system can process information from a book, learn from it, and use it when necessary.

Natural Language Processing is crucial for AI applications to communicate with human languages. AI can process verbal and written input from humans, then use this information to acquire new knowledge, improve itself, and engage in communication.

Additionally, Artificial Intelligence systems need a certain level of perception. They should be capable of forming opinions about their surroundings and making decisions accordingly. Depending on the purpose of their use, AI systems may require hardware components like sensors and cameras, as well as abilities like sound and image recognition, robotic perception, and speech recognition. However, for AI applications that only interact with people through text, these capabilities are not a priority.

Why is AI (Artificial Intelligence) Important?

Developments in the field of Artificial Intelligence are among the key drivers of scientific and technological advancement. AI systems with higher processing capacity than the human brain open up possibilities for processing information that might otherwise take humans many years, or even be impossible, to learn. This also contributes to increased efficiency by streamlining many business processes.

The goal is to achieve societal progress by delegating many daily tasks to AI-powered computer systems. For instance, in a future where all vehicles are controlled by AI, the significant reduction in traffic accidents could eliminate risks to human life.