AI is developing the ability to identify patterns and organize information on its own through a method called “unsupervised learning,” which allows it to learn from data without being given the correct answers.
AI learns through a method called “supervised learning,” where it uses data that comes with correct answers to develop its ability to make decisions. This process is somewhat similar to how humans learn by being taught and gradually understanding patterns.
Neural networks are an AI technology inspired by the workings of the human brain. They are designed to process information and make decisions, and are already being used in many aspects of our daily lives.
Deep learning is a technology that allows computers to automatically learn features from data, enabling them to understand images and sounds. It plays a key role in various fields such as healthcare and autonomous driving.
Machine learning is a technology that enables computers to discover rules and patterns from large amounts of data, allowing them to make predictions and decisions based on experience. It is widely used in our daily lives, supporting many of the convenient services we rely on every day.
Artificial intelligence is a technology that aims to replicate human-like thinking and decision-making in machines. It plays an increasingly important role in our daily lives. In this article, we explain the mechanisms behind AI and explore both its potential and the challenges it presents.
