Artificial Intelligence (AI) refers to the intelligence demonstrated by machines, as opposed to human intelligence. It encompasses the ability of computers to perform tasks that require features typically associated with human cognition, such as logical thinking, decision-making, and rational action. AI applications are often referred to as cognitive technologies.
Cognitive Abilities: AI systems can mimic human traits such as visual perception, speech recognition, and language translation.
Examples: Robots, self-driving cars, and other automated systems showcase the practical applications of AI.
Limitations: While AI can approximate human capabilities, it struggles with more nuanced traits like emotions, intuition, and ethical judgment.
AI is a multidisciplinary field rooted in philosophy, mathematics, economics, neuroscience, psychology, cybernetics, and linguistics.
The field of AI began in the 1950s but was limited by the computational power and programming tools available at the time.
Major progress in AI has been driven by advancements in neural networks, expert systems, and probabilistic reasoning, as well as the availability of large datasets and enhanced computing capabilities.
This foundational overview highlights AI's role as a transformative force in automation and data-driven decision-making