Artificial intelligence
Artificial intelligence (AI) is a field of computer science and engineering focused on creating systems that can perform tasks associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making.
Artificial intelligence (AI) is a field of computer science and engineering focused on creating systems that can perform tasks associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. The term also refers more broadly to machines and software that exhibit such capabilities. AI is used across many domains, including search, robotics, language processing, and data analysis.
Definition
Artificial intelligence refers to systems capable of performing tasks commonly associated with human intelligence, including learning, reasoning, and problem-solving. It is also used as the name for the research field that studies how to build such systems.
History and development
AI emerged as a formal research area in computer science and engineering and has developed through periods of rapid progress in methods, computing power, and data availability. The field has expanded from symbolic approaches to statistical and data-driven methods.
Major subfields
Important subfields include machine learning, natural language processing, computer vision, robotics, and planning. These areas focus on helping machines learn from data, understand language, interpret images, act in the physical world, and choose actions toward goals.
Applications
AI is used in search engines, recommendation systems, automated translation, fraud detection, medical diagnostics, autonomous systems, and industrial automation. Its use has broadened across science, business, government, and consumer technology.
Key facts
- Artificial intelligence is both a scientific field and a set of technologies for creating intelligent computational systems.
- AI systems are designed to perform tasks that typically require human intelligence.
- The field includes areas such as machine learning, natural language processing, computer vision, and robotics.
- AI is widely used in applications such as speech recognition, image analysis, translation, and decision support.
- AI does not yet generally match full human flexibility across all domains.
AI is highly relevant to Canadian readers because Canada is a major centre for AI research, education, and commercial adoption, with active work in cities such as Toronto, Montreal, and Edmonton.
Frequently asked questions
What is artificial intelligence?
Is AI the same as machine learning?
Where is AI used?
Can AI think like a human?
What disciplines contribute to AI?
References
- Wikipedia — https://en.wikipedia.org/wiki/Artificial_intelligenceSupports: General definition of artificial intelligence and core tasks associated with it.
- Encyclopaedia Britannica — https://www.britannica.com/technology/artificial-intelligenceSupports: Definition of AI, limitations relative to human flexibility, and general scope.
- Association for Computing Machinery — https://dl.acm.org/doi/10.5555/1074100.1074138Supports: AI as a field of computer science and engineering concerned with intelligent behavior.
- Stanford Encyclopedia of Philosophy — https://plato.stanford.edu/entries/artificial-intelligence/Supports: Conceptual framing of AI as the study of intelligent agents and philosophical context.
- Google Cloud — https://cloud.google.com/learn/what-is-artificial-intelligenceSupports: Common applications and broad description of AI technologies and methods.
- MIT Media Lab — https://www.media.mit.edu/tools/ai-glossary-dictionary/Supports: Concise definition of AI and examples of its importance across domains.