Nowadays, AI seems like science fiction.
It writes tales, diagnoses ailments, drives vehicles, and even chats like a human.
However earlier than ChatGPT and different fancy AI instruments confirmed up, the foundations had been already being laid. Slowly, steadily, and generally a long time in the past.
So what had been these concepts?
On this article, we’ll strip away the hype and take a pleasant tour by way of the core ideas that made trendy AI doable.
Let’s rewind to the Nineteen Fifties.
Computer systems had been cumbersome, sluggish, and actually… not that good.
Nonetheless, in 1958, psychologist Frank Rosenblatt launched the perceptron, the best model of a synthetic neuron.
What does a perceptron do?
Surprisingly little.
It takes some numbers (inputs), multiplies them by weights, provides them up, and comes to a decision (like “sure” or “no”). That’s it!
However that tiny concept was highly effective.
Why? As a result of it was the first step towards machines that would be taught from information, as a substitute of being manually programmed for each single process.
