With the rapid development of artificial intelligence (AI) technologies, many new terms and concepts have entered our lives. Here are some of these terms and their meanings:
Machine Learning: A branch of artificial intelligence that enables computers to learn from data without specific programming. It creates models on data using algorithms and makes predictions.
Deep Learning: A subfield of machine learning that uses artificial neural networks. It provides high performance in complex tasks by working with large data sets and powerful processors. It is especially used in image recognition and language processing.
Natural Language Processing (NLP): A technology used for computers to understand, interpret, and produce human language. It is widely used in chatbots, translation systems, and text analysis tools.
Artificial Neural Networks: A computational model that mimics the functioning of neurons in the human brain. It is one of the fundamental building blocks of deep learning.
Data Mining: The process of extracting meaningful information from large data sets. This information is used to support business decisions and discover new opportunities.
Image Recognition: The ability of computers to identify and classify objects in digital images. For example, facial recognition systems are based on this technology.
Autonomous Systems: Systems that can perform specific tasks without human intervention. Examples include autonomous vehicles and drones.
Genetic Algorithms: An optimization and search algorithm inspired by evolutionary biology. It uses natural selection and genetic processes in the solution-finding process.
Robotic Process Automation (RPA): The use of software robots to automate repetitive business processes. It is especially used to increase efficiency in the business world.
Big Data: Data sets with high volume, variety, and velocity. It is difficult to process with traditional data processing tools and often requires special analysis techniques.
Artificial General Intelligence (AGI): A type of artificial intelligence that aims to possess all the capabilities of human intelligence. While current AI applications are specialized in specific tasks, AGI has the potential to learn all cognitive tasks.
These terms provide a basic understanding of artificial intelligence and its subfields. These technologies have the potential to revolutionize various fields and are increasingly becoming a part of our daily lives.