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Understanding Artificial Intelligence
From Kasparov to ChatGPT: Transforming Technology and Life
Get ready for a journey tour through Artificial Intelligence’s (AI) most exciting moments! We’ll use key historical events to explain the most important AI concepts: machine learning, deep learning, and generative AI. From a chess showdown that turned heads in 1989 to today’s tech wonders, I hope you’re in and leaving a comment.
“AI will not replace people, but people using AI will replace those who don’t.”
What is Intelligence? 🧠
Intelligence is learning, understanding, and applying knowledge to interact and solve tasks and problems.
… and Artificial? 🤖
Made by humans through a manufacturing or synthetic process, not occurring naturally.
… so Artificial Intelligence is:
A human-created technology that learns, understands, and applies knowledge to interact and solve tasks and problems.

Artificial Intelligence
Imagine it’s 1989, and you’re watching a chess match. But it’s not just any match — the player is Gary Kasparov, a world champion, and his opponent? A computer named Deep Thought, one of the first AI chess players! Kasparov wins, but everyone is amazed at how well the computer played.
Machine Learning
Now that you’re shopping on Amazon in 2000, you start seeing suggestions like “Customers who bought this also bought…” That’s Amazon’s recommendation engine, a cool example of Machine Learning. It’s like a smart buddy who looks at your past shopping and what others have liked to suggest new things. This is also AI, but it’s learning from data to get better at helping you find what you’ll love.
Deep Learning
In 2017, the iPhone X brought a game-changer: Face ID, powered by Deep Learning. This technology smartly learns and recognizes your face, ensuring secure and easy access to your phone. It’s a prime example of Deep Learning, a specialized form of Machine Learning.