Description: Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. This includes the ability to learn, reason, solve problems, understand natural language, and perceive the environment. AI relies on algorithms and mathematical models that enable machines to process large volumes of data and make informed decisions. Its relevance has grown exponentially in recent decades, driven by advances in computing power, the availability of large datasets, and the development of machine learning techniques. AI manifests in various forms, from recommendation systems and virtual assistants to autonomous vehicles and industrial robots. Its ability to enhance efficiency and accuracy across multiple sectors makes it an essential tool in the modern world, transforming the way we interact with technology and each other.
History: The term ‘Artificial Intelligence’ was coined in 1956 by John McCarthy during the Dartmouth Conference, which is considered the formal birth of the field. Since then, AI has gone through several stages, including the era of rule-based systems in the 1970s and 1980s, and the resurgence in the 2010s thanks to deep learning and the increase in data. Key events include the development of the perceptron neural network in 1958 and IBM Watson’s victory on the television show Jeopardy! in 2011.
Uses: AI is used in a variety of applications, including virtual assistants, recommendation systems on e-commerce and streaming platforms, data analysis in finance and healthcare, and automation of industrial processes. It is also applied in autonomous driving, image and voice recognition, and in content creation through generative algorithms.
Examples: Concrete examples of AI include the use of chatbots in customer service, IBM Watson’s medical diagnosis system, and algorithms for internet search. In the realm of digital environments, AI is used to create non-playable characters that respond realistically to player actions in video games.
