Artificial intelligence overview and history

Definition and purpose of artificial intelligence

Artificial intelligence (AI) is a computer program or machine that can learn and mimic human thinking. It is often used to describe systems that understand external data, learn from it, and apply what they have learned to achieve specific goals through adaptation. The term AI is also sometimes used for areas such as neural networks and deep learning. The purpose of AI is to enable systems to perform tasks that require “intelligent” behavior, such as understanding data, making decisions, and improving performance over time. AI is widely applied in areas like speech and image recognition, robotics and autonomous systems, natural language processing and translation, predictive analytics, medical diagnostics, fraud detection, and controlling physical processes. AI research began in 1956 (including the Dartmouth conference), and progress has included major milestones like Deep Blue beating Garry Kasparov, IBM Watson winning Jeopardy!, and AlphaGo defeating Lee Sedol. AI is also discussed in terms of different strengths and types: “strong AI” aims to build machines that can think like people, while “weak AI” focuses on building systems that support humans. Researchers also work toward broader capabilities such as artificial general intelligence (AGI) and specialized goals like creative or emotionally aware AI. However, AI still has limitations, including difficulty with common sense and fully understanding real-world situations.

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AI as learning from data to meet goals

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